Pr. Germain Forestier

PhD in Computer Science  -  Data Scientist

Germain Forestier

Background

 

Find me on Google Scholar, DBLP, ORCID, LinkedIn, HAL, Research Gate.

Contact

ENSISA / Univ. Haute-Alsace
12 rue des freres Lumiere
68093 Mulhouse FRANCE
Phone : +33(0)3 89 33 69 63
Email : firstname.lastname@uha.fr

Research interests

I'm a professor of computer science working on artificial intelligence and data science with a special interest in processing temporal data (time series). I mostly apply my work to surgical data science, digital pathology and geosciences.

Keywords data science, artificial intelligence, machine learning, data mining, time series classification, big data, deep learning.

-> Some visualisations of COVID-19 data in France <-

Some news

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Ongoing activities

Past activities

I'm reviewing for multiple journals (see my Web of Science profile).

Research Students I Co-supervise(d)

Phd students: Graduated: I also supervise(d) postdoc/engineer:

Latest publications

Research Articles in International Journals

[1] Foumani, N.-M., Miller, L., Tan, C.-W., Webb, G., Forestier, G. and Salehi, M. (2024),
Deep learning for time series classification and extrinsic regression: A current survey,
ACM Computing Surveys.
  BibTeX:
@article{Foumani2024Deeplearningtime,
  author = {Foumani, N-M. and Miller, L. and Tan, C-W. and Webb, G. and Forestier, G. and Salehi, M.},
  title = {Deep learning for time series classification and extrinsic regression: A current survey},
  journal = {ACM Computing Surveys},
  year = {2024},
  url = {https://doi.org/10.1145/3649448}
}
[2] Pialla, G., Ismail Fawaz, H., Devanne, M., Weber, J., Idoumghar, L., Muller, P.-A., Bergmeir, C., Schmidt, D.-F., Webb, G. and Forestier, G. (2023),
Time series adversarial attacks: an investigation of smooth perturbations and defense approaches,
International Journal of Data Science and Analytics. , pp. 1-11.
  BibTeX:
@article{Pialla2023Timeseriesadversarial,
  author = {Pialla, G. and Ismail Fawaz, H. and Devanne, M. and Weber, J. and Idoumghar, L. and Muller, P-A. and Bergmeir, C. and Schmidt, D-F. and Webb, G. and Forestier, G.},
  title = {Time series adversarial attacks: an investigation of smooth perturbations and defense approaches},
  journal = {International Journal of Data Science and Analytics},
  year = {2023},
  pages = {1--11},
  url = {https://doi.org/10.1007/s41060-023-00438-0}
}
[3] Terefe, T., Devanne, M., Weber, J., Hailemariam, D. and Forestier, G. (2023),
Estimating time series averages from latent space of multi-tasking neural networks,
Knowledge and Information Systems. Vol. 65(11), pp. 4967-5004.
  BibTeX:
@article{Terefe2023Estimatingtimeseries,
  author = {Terefe, T. and Devanne, M. and Weber, J. and Hailemariam, D. and Forestier, G.},
  title = {Estimating time series averages from latent space of multi-tasking neural networks},
  journal = {Knowledge and Information Systems},
  year = {2023},
  volume = {65},
  number = {11},
  pages = {4967--5004},
  url = {https://doi.org/10.1007/s10115-023-01927-1}
}
[4] Wenger, R., Puissant, A., Weber, J., Idoumghar, L. and Forestier, G. (2022),
Multimodal and Multitemporal Land Use/Land Cover Semantic Segmentation on Sentinel-1 and Sentinel-2 Imagery,
Remote Sensing. Vol. 15(1), pp. 151.
  BibTeX:
@article{Wenger2022MultimodalandMultitemporal,
  author = {Wenger, R. and Puissant, A. and Weber, J. and Idoumghar, L. and Forestier, G.},
  title = {Multimodal and Multitemporal Land Use/Land Cover Semantic Segmentation on Sentinel-1 and Sentinel-2 Imagery},
  journal = {Remote Sensing},
  year = {2022},
  volume = {15},
  number = {1},
  pages = {151},
  url = {https://doi.org/10.3390/rs15010151}
}
[5] Ben Hamida, A., Devanne, M., Weber, J., Truntzer, C., Derangère, V., Ghiringhelli, F., Forestier, G. and Wemmert, C. (2022),
Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation,
Artificial Intelligence in Medicine. Vol. 133, pp. 102407.
  BibTeX:
@article{BenHamida2022WeaklySupervisedLearning,
  author = {Ben Hamida, A. and Devanne, M/. and Weber, J. and Truntzer, C. and Derangère, V. and Ghiringhelli, F. and Forestier, G. and Wemmert, C.},
  title = {Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation},
  journal = {Artificial Intelligence in Medicine},
  year = {2022},
  volume = {133},
  pages = {102407},
  url = {https://doi.org/10.1016/j.artmed.2022.102407}
}
[6] Wenger, R., Puissant, A., Weber, J., Idoumghar, L. and Forestier, G. (2022),
U-Net feature fusion for multi-class semantic segmentation of urban fabrics from Sentinel-2 imagery: an application on Grand Est Region, France,
International Journal of Remote Sensing. Vol. 43(6), pp. 1983-2011.
  BibTeX:
@article{Wenger2022UNetfeature,
  author = {Wenger, R. and Puissant, A. and Weber, J. and Idoumghar, L. and Forestier, G.},
  title = {U-Net feature fusion for multi-class semantic segmentation of urban fabrics from Sentinel-2 imagery: an application on Grand Est Region, France},
  journal = {International Journal of Remote Sensing},
  year = {2022},
  volume = {43},
  number = {6},
  pages = {1983--2011},
  url = {https://doi.org/10.1080/01431161.2022.2054295}
}
[7] Maier-Hein, L. and et al. (2022),
Surgical data science – from concepts toward clinical translation,
Medical Image Analysis. Vol. 76, pp. 102306.
  BibTeX:
@article{Maier-Hein2022Surgicaldatascience,
  author = {Maier-Hein, L. and et al.},
  title = {Surgical data science – from concepts toward clinical translation},
  journal = {Medical Image Analysis},
  year = {2022},
  volume = {76},
  pages = {102306},
  url = {https://doi.org/10.1016/j.media.2021.102306}
}
[8] Lafabregue, B., Weber, J., Gançarski, P. and Forestier, G. (2021),
End-to-end deep representation learning for time series clustering: a comparative study,
Data Mining and Knowledge Discovery. Vol. 36, pp. 1-53.
  BibTeX:
@article{Lafabregue2021Endtoend,
  author = {Lafabregue, B. and Weber, J. and Gançarski, P. and Forestier, G.},
  title = {End-to-end deep representation learning for time series clustering: a comparative study},
  journal = {Data Mining and Knowledge Discovery},
  year = {2021},
  volume = {36},
  pages = {1--53},
  url = {https://doi.org/10.1007/s10618-021-00796-y}
}
[9] Ben Hamida, A., Devanne, M., Weber, J., Truntzer, C., Derangère, V., Ghiringhelli, F., Forestier, G. and Wemmert, C. (2021),
Deep learning for colon cancer histopathological images analysis,
Computers in Biology and Medicine. Vol. 136, pp. 104730.
  BibTeX:
@article{BenHamida2021Deeplearningcolon,
  author = {Ben Hamida, A. and Devanne, M/. and Weber, J. and Truntzer, C. and Derangère, V. and Ghiringhelli, F. and Forestier, G. and Wemmert, C.},
  title = {Deep learning for colon cancer histopathological images analysis},
  journal = {Computers in Biology and Medicine},
  year = {2021},
  volume = {136},
  pages = {104730},
  url = {https://doi.org/10.1016/j.compbiomed.2021.104730}
}
[10] Bendali-Braham, M., Weber, J., Forestier, G., Idoumghar, L. and Muller, P.-A. (2021),
Recent trends in crowd analysis: A review,
Machine Learning with Applications. Vol. 4, pp. 100023.
  BibTeX:
@article{Bendali-Braham2021Recenttrendsin,
  author = {Bendali-Braham, M. and Weber, J. and Forestier, G. and Idoumghar, L. and Muller, P-A.},
  title = {Recent trends in crowd analysis: A review},
  journal = {Machine Learning with Applications},
  year = {2021},
  volume = {4},
  pages = {100023},
  url = {https://doi.org/10.1016/j.mlwa.2021.100023}
}
[11] Merveille, O., Lampert, T., Schmitz, J., Forestier, G., Feuerhake, F. and Wemmert (2021),
An automatic framework for fusing information from differently stained consecutive digital whole slide images: A case study in renal histology,
Computer Methods and Programs in Biomedicine. Vol. 208, pp. 106157.
  BibTeX:
@article{Merveille2021automaticframeworkfusing,
  author = {Merveille, O. and Lampert, T. and Schmitz, J. and Forestier, G. and Feuerhake, F. and Wemmert,},
  title = {An automatic framework for fusing information from differently stained consecutive digital whole slide images: A case study in renal histology},
  journal = {Computer Methods and Programs in Biomedicine},
  year = {2021},
  volume = {208},
  pages = {106157},
  url = {https://doi.org/10.1016/j.cmpb.2021.106157}
}
[12] Ismail Fawaz, H., Lucas, B., Forestier, G., Pelletier, C., Schmidt, D., Weber, J., Webb, G., Idoumghar, L., Muller, P.-A. and Petitjean, F. (2020),
InceptionTime: Finding AlexNet for Time Series Classification,
Data Mining and Knowledge Discovery. Vol. 34(6), pp. 1936-1962.
  BibTeX:
@article{IsmailFawaz2020InceptionTimeFindingAlexNet,
  author = {Ismail Fawaz, H. and Lucas, B. and Forestier, G. and Pelletier, C. and Schmidt, D.. and Weber, J. and Webb, G. and Idoumghar, L. and Muller, P-A. and Petitjean, F.},
  title = {InceptionTime: Finding AlexNet for Time Series Classification},
  journal = {Data Mining and Knowledge Discovery},
  year = {2020},
  volume = {34},
  number = {6},
  pages = {1936--1962},
  url = {https://doi.org/10.1007/s10618-020-00710-y}
}
[13] Schaadt, N.S., Schönmeyer, R., Forestier, G., Brieu, N., Braubach, P., Nekolla, K., Meyer-Hermann, M. and Feuerhake, F. (2020),
Graph-based description of tertiary lymphoid organs at single-cell level,
PLOS Computational Biology. Vol. 16(2), pp. e1007385.
  BibTeX:
@article{SchaadtGraphbaseddescription,
  author = {Schaadt, N. S. and Schönmeyer, R. and Forestier, G. and Brieu, N. and Braubach, P. and Nekolla, K. and Meyer-Hermann, M. and Feuerhake, F.},
  title = {Graph-based description of tertiary lymphoid organs at single-cell level},
  journal = {PLOS Computational Biology},
  year = {2020},
  volume = {16},
  number = {2},
  pages = {e1007385},
  url = {https://doi.org/10.1371/journal.pcbi.1007385}
}
[14] Luu, V., Forestier, G., Weber, J., Bourgeois, P., Djelil, F. and Muller, P.-A. (2020),
A review of alignment based similarity measures for web usage mining,
Artificial Intelligence Review. Vol. 53, pp. 1529-1551.
  BibTeX:
@article{Luu2020reviewalignmentbased,
  author = {Luu, VT. and Forestier, G. and Weber, J. and Bourgeois, P. and Djelil, F. and Muller, P-A.},
  title = {A review of alignment based similarity measures for web usage mining},
  journal = {Artificial Intelligence Review},
  year = {2020},
  volume = {53},
  pages = {1529--1551},
  url = {https://doi.org/10.1007/s10462-019-09712-9}
}
[15] Pelaccia, T., Forestier, G. and Wemmert, C. (2019),
Deconstructing the diagnostic reasoning of human versus artificial intelligence,
Canadian Medical Association Journal. Vol. 191(48), pp. E1332.
  BibTeX:
@article{Pelaccia2019Deconstructingdiagnosticreasoning,
  author = {Pelaccia, T. and Forestier, G. and Wemmert, C.},
  title = {Deconstructing the diagnostic reasoning of human versus artificial intelligence},
  journal = {Canadian Medical Association Journal},
  year = {2019},
  volume = {191},
  number = {48},
  pages = {E1332},
  url = {https://doi.org/10.1503/cmaj.190506}
}
[16] Ismail Fawaz, H., Forestier, G., Weber, J., Idoumghar, L. and Muller, P.-A. (2019),
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks,
International Journal of Computer Assisted Radiology and Surgery. Vol. 14(9), pp. 1611-1617.
  BibTeX:
@article{IsmailFawaz2019Accurateandinterpretable,
  author = {Ismail Fawaz, H. and Forestier, G. and Weber, J. and Idoumghar, L and Muller, P-A.},
  title = {Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks},
  journal = {International Journal of Computer Assisted Radiology and Surgery},
  year = {2019},
  volume = {14},
  number = {9},
  pages = {1611--1617},
  url = {https://doi.org/10.1007/s11548-019-02039-4}
}
[17] Ismail Fawaz, H., Forestier, G., Weber, J., Idoumghar, L. and Muller, P.-A. (2019),
Deep learning for time series classification: a review,
Data Mining and Knowledge Discovery. Vol. 33(4), pp. 917-963.
  BibTeX:
@article{IsmailFawaz2019Deeplearningtime,
  author = {Ismail Fawaz, H. and Forestier, G. and Weber, J. and Idoumghar, L and Muller, P-A.},
  title = {Deep learning for time series classification: a review},
  journal = {Data Mining and Knowledge Discovery},
  year = {2019},
  volume = {33},
  number = {4},
  pages = {917--963},
  url = {https://doi.org/10.1007/s10618-019-00619-1}
}
[18] Grote, A., Schaadt, N.S., Forestier, G., Wemmert, C. and Feuerhake, F. (2018),
Crowdsourcing of Histological Image Labeling and Object Delineation by Medical Students,
IEEE Transactions on Medical Imaging. Vol. 38(5), pp. 1284-1294.
  BibTeX:
@article{Grote2018CrowdsourcingHistologicalImage,
  author = {Grote, A. and Schaadt, N. S. and Forestier, G. and Wemmert, C. and Feuerhake, F.},
  title = {Crowdsourcing of Histological Image Labeling and Object Delineation by Medical Students},
  journal = {IEEE Transactions on Medical Imaging},
  year = {2018},
  volume = {38},
  number = {5},
  pages = {1284--1294},
  url = {https://doi.org/10.1109/TMI.2018.2883237}
}
[19] Forestier, G., Petitjean, F., Senin, P., Despinoy, F., Huaulmé, A., Ismail Fawaz, H., Weber, J., Idoumghar, L., Muller, P.-A. and Jannin, P. (2018),
Surgical motion analysis using discriminative interpretable patterns,
Artificial Intelligence in Medicine. Vol. 81, pp. 3-11.
  BibTeX:
@article{Forestier2018Surgicalmotionanalysis,
  author = {Forestier, G. and Petitjean, F. and Senin, P. and Despinoy, F. and Huaulmé, A. and Ismail Fawaz, H. and Weber, J. and Idoumghar, L. and Muller, P-A. and Jannin, P.},
  title = {Surgical motion analysis using discriminative interpretable patterns},
  journal = {Artificial Intelligence in Medicine},
  year = {2018},
  volume = {81},
  pages = {3--11},
  url = {https://doi.org/10.1016/j.artmed.2018.08.002}
}
[20] Gibaud, B., Forestier, G., Feldmann, C., Ferrigno, G., Gonçalves, P., Haidegger, T., Julliard, C., Katić, D., Kenngott, H., Maier-Hein, L., März, K., de Momi, E., Nagy, D.A., Nakawala, H. and Neumann, J. (2018),
Toward a standard ontology of surgical process models,
International Journal of Computer Assisted Radiology and Surgery. Vol. 13(9), pp. 1397-1408.
  BibTeX:
@article{Gibaud2018Towardstandardontology,
  author = {Gibaud, B. and Forestier, G. and Feldmann, C. and Ferrigno, G. and Gonçalves, P. and Haidegger, T. and Julliard, C. and Katić, D. and Kenngott, H. and Maier-Hein, L. and März, K. and de Momi, E. and Nagy, D. A. and Nakawala, H. and Neumann, J.},
  title = {Toward a standard ontology of surgical process models},
  journal = {International Journal of Computer Assisted Radiology and Surgery},
  year = {2018},
  volume = {13},
  number = {9},
  pages = {1397--1408},
  url = {https://doi.org/10.1007/s11548-018-1824-5}
}
[21] Lampert, T., Dau, T., Lafabregue, B., Serrette, N., Forestier, G., Crémilleux, B., Vrain, C. and Gançarski, P. (2018),
Constrained distance based clustering for time-series: a comparative and experimental study,
Data Mining and Knowledge Discovery. Vol. 32(6), pp. 1663-1707.
  BibTeX:
@article{Lampert2018Constraineddistancebased,
  author = {Lampert, T. and Dau, TBH. and Lafabregue, B. and Serrette, N. and Forestier, G. and Crémilleux, B. and Vrain, C. and Gançarski, P.},
  title = {Constrained distance based clustering for time-series: a comparative and experimental study},
  journal = {Data Mining and Knowledge Discovery},
  year = {2018},
  volume = {32},
  number = {6},
  pages = {1663--1707},
  url = {https://doi.org/10.1007/s10618-018-0573-y}
}
[22] Dau, H.-A., Furtado Silva, D., Petitjean, F., Forestier, G., Bagnall, T., Mueen, A. and Keogh, E. (2018),
Optimizing dynamic time warping’s window width for time series data mining applications,
Data Mining and Knowledge Discovery. Vol. 32(4), pp. 1074-1120.
  BibTeX:
@article{Dau2018Optimizingdynamictime,
  author = {Dau, H-A. and Furtado Silva, D. and Petitjean, F. and Forestier, G. and Bagnall, T. and Mueen, A. and Keogh, E.},
  title = {Optimizing dynamic time warping’s window width for time series data mining applications},
  journal = {Data Mining and Knowledge Discovery},
  year = {2018},
  volume = {32},
  number = {4},
  pages = {1074--1120},
  url = {https://doi.org/10.1007/s10618-018-0565-y}
}
[23] Forestier, G., Riffaud, L., Petitjean, F., Henaux, P.-L. and Jannin, P. (2018),
Surgical skills: Can learning curves be computed from recordings of surgical activities?,
International Journal of Computer Assisted Radiology and Surgery. Vol. 13(5), pp. 629–636.
  BibTeX:
@article{Forestier2018SurgicalskillsCan,
  author = {Forestier, G. and Riffaud, L. and Petitjean, F. and Henaux, P-L. and Jannin, P.},
  title = {Surgical skills: Can learning curves be computed from recordings of surgical activities?},
  journal = {International Journal of Computer Assisted Radiology and Surgery},
  year = {2018},
  volume = {13},
  number = {5},
  pages = {629–636},
  url = {https://doi.org/10.1007/s11548-018-1713-y}
}
[24] Despinoy, F., Zemiti, N., Forestier, G., Alonso, S., Jannin, P. and Poignet, P. (2018),
Evaluation of contactless human--machine interface for robotic surgical training,
International Journal of Computer Assisted Radiology and Surgery. Vol. 13(1), pp. 13-24.
  BibTeX:
@article{Despinoy2018Evaluationcontactlesshuman,
  author = {Despinoy, F. and Zemiti, N. and Forestier, G. and Alonso, S. and Jannin, P. and Poignet, P.},
  title = {Evaluation of contactless human--machine interface for robotic surgical training},
  journal = {International Journal of Computer Assisted Radiology and Surgery},
  year = {2018},
  volume = {13},
  number = {1},
  pages = {13--24},
  url = {https://doi.org/10.1007/s11548-017-1666-6}
}
[25] Huaulme, A., Harada, K., Forestier, G., Mitsuishi, M. and Jannin, P. (2018),
Sequential surgical signatures in micro-suturing task,
International Journal of Computer Assisted Radiology and Surgery. Vol. 13(9), pp. 1419-1428.
  BibTeX:
@article{Huaulme2018Sequentialsurgicalsignatures,
  author = {Huaulme, A. and Harada, K. and Forestier, G.. and Mitsuishi, M. and Jannin, P.},
  title = {Sequential surgical signatures in micro-suturing task},
  journal = {International Journal of Computer Assisted Radiology and Surgery},
  year = {2018},
  volume = {13},
  number = {9},
  pages = {1419--1428},
  url = {https://doi.org/10.1007/s11548-018-1775-x}
}
[26] Maier-Hein, L., Vedula, S., Speidel, S., Navab, N., Kikinis, R., Park, A., Eisenmann, M., Feussner, H., Forestier, G., Giannarou, S., Hashizume, M., Katic, D., Kenngott, H., Kranzfelder, M., Malpani, A., März, K., Neumuth, T., Padoy, N., Pugh, C., Schoch, N., Stoyanov, D., Taylor, R., Wagner, M., Hager, G.D. and Jannin, P. (2017),
Surgical data science for next-generation interventions,
Nature Biomedical Engineering. Vol. 1(9), pp. 691.
  BibTeX:
@article{Maier-Hein2017Surgicaldatascience,
  author = {Maier-Hein, L. and Vedula, S. and Speidel, S. and Navab, N. and Kikinis, R. and Park, A. and Eisenmann, M. and Feussner, H. and Forestier, G. and Giannarou, S. and Hashizume, M. and Katic, D. and Kenngott, H. and Kranzfelder, M. and Malpani, A. and März, K. and Neumuth, T. and Padoy, N. and Pugh, C. and Schoch, N. and Stoyanov, D. and Taylor, R. and Wagner, M. and Hager, G. D. and Jannin, P.},
  title = {Surgical data science for next-generation interventions},
  journal = {Nature Biomedical Engineering},
  year = {2017},
  volume = {1},
  number = {9},
  pages = {691},
  url = {https://doi.org/10.1038/s41551-017-0132-7}
}
[27] Forestier, G., Petitjean, F., Senin, P., Henaux, P.-L. and Jannin, P. (2017),
Finding discriminative and interpretable patterns in sequences of surgical activities,
Artificial Intelligence in Medicine. Vol. 82, pp. 11-19.
  BibTeX:
@article{Forestier2017Findingdiscriminativeand,
  author = {Forestier, G. and Petitjean, F. and Senin, P. and Henaux, P-L. and Jannin, P.},
  title = {Finding discriminative and interpretable patterns in sequences of surgical activities},
  journal = {Artificial Intelligence in Medicine},
  year = {2017},
  volume = {82},
  pages = {11--19},
  url = {https://doi.org/10.1016/j.artmed.2017.09.002}
}
[28] Forestier, G., Petitjean, F., Riffaud, L. and Jannin, P. (2017),
Automatic matching of surgeries to predict surgeons’ next actions,
Artificial Intelligence in Medicine. Vol. 81, pp. 3-11.
  BibTeX:
@article{Forestier2017Automaticmatchingsurgeries,
  author = {Forestier, G. and Petitjean, F. and Riffaud, L. and Jannin, P.},
  title = {Automatic matching of surgeries to predict surgeons’ next actions},
  journal = {Artificial Intelligence in Medicine},
  year = {2017},
  volume = {81},
  pages = {3--11},
  url = {http://dx.doi.org/10.1016/j.artmed.2017.03.007}
}
[29] Schaadt, N.S., Alfonso, J., Schönmeyer, R., Grote, A., Forestier, G., Wemmert, C., Kronke, N., Stoeckelhuber, M., Kreipe, H., Hatzikirou, H. and Feuerhake, F. (2017),
Image analysis of immune cell patterns in the human mammary gland during the menstrual cycle refines lymphocytic lobulitis,
Breast Cancer Research and Treatment. Vol. 164(2), pp. 305–-315.
  BibTeX:
@article{Schaadt2017Imageanalysisimmune,
  author = {Schaadt, N. S. and Alfonso, J.C.L. and Schönmeyer, R. and Grote, A. and Forestier, G. and Wemmert, C. and Kronke, N. and Stoeckelhuber, M. and Kreipe, H. and Hatzikirou, H. and Feuerhake, F.},
  title = {Image analysis of immune cell patterns in the human mammary gland during the menstrual cycle refines lymphocytic lobulitis},
  journal = {Breast Cancer Research and Treatment},
  year = {2017},
  volume = {164},
  number = {2},
  pages = {305–-315},
  url = {https://doi.org/10.1007/s10549-017-4239-z}
}
[30] Huaulme, A., Voros, S., Riffaud, L., Forestier, G., Moreau-Gaudry, A. and Jannin, P. (2017),
Distinguishing surgical behavior by sequential pattern discovery,
Journal of Biomedical Informatics. Vol. 67, pp. 34-41.
  BibTeX:
@article{Huaulme2017Distinguishingsurgicalbehavior,
  author = {Huaulme, A. and Voros, S. and Riffaud, L. and Forestier, G. and Moreau-Gaudry, A. and Jannin, P.},
  title = {Distinguishing surgical behavior by sequential pattern discovery},
  journal = {Journal of Biomedical Informatics},
  year = {2017},
  volume = {67},
  pages = {34--41},
  url = {http://dx.doi.org/10.1016/j.jbi.2017.02.001}
}
[31] Alfonso, J., Schaadt, N.S., Schönmeyer, R., Brieu, N., Forestier, G., Wemmert, C., Feuerhake, F. and Hatzikirou, H. (2016),
In-silico insights on the prognostic potential of immune cell infiltration patterns in the breast lobular epithelium,
Scientific Reports. Vol. 6, pp. 33322.
  BibTeX:
@article{Alfonso2016Insilicoinsights,
  author = {Alfonso, J.C.L. and Schaadt, N. S. and Schönmeyer, R. and Brieu, N. and Forestier, G. and Wemmert, C. and Feuerhake, F. and Hatzikirou, H.},
  title = {In-silico insights on the prognostic potential of immune cell infiltration patterns in the breast lobular epithelium},
  journal = {Scientific Reports},
  year = {2016},
  volume = {6},
  pages = {33322},
  url = {https://doi.org/10.1038/srep33322}
}
[32] Apou, G., Schaadt, N.S., Naegel, B., Forestier, G., Schönmeyer, R., Feuerhake, F., Wemmert, C. and Grote, A. (2016),
Detection of lobular structures in normal breast tissue,
Computers in Biology and Medicine. Vol. 74, pp. 91-102.
  BibTeX:
@article{Apou2016Detectionlobularstructures,
  author = {Apou, G. and Schaadt, N. S. and Naegel, B. and Forestier, G. and Schönmeyer, R. and Feuerhake, F. and Wemmert, C. and Grote, A.},
  title = {Detection of lobular structures in normal breast tissue},
  journal = {Computers in Biology and Medicine},
  year = {2016},
  volume = {74},
  pages = {91--102},
  url = {http://dx.doi.org/10.1016/j.compbiomed.2016.05.004}
}
[33] Petitjean, F., Forestier, G., Webb, G., Nicholson, A., Chen, Y. and Keogh, E. (2016),
Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm,
Knowledge and Information Systems. Vol. 47(1), pp. 1-26.
  BibTeX:
@article{Petitjean2016Fasterandmore,
  author = {Petitjean, F. and Forestier, G. and Webb, G. and Nicholson, A. and Chen, Y. and Keogh, E.},
  title = {Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm},
  journal = {Knowledge and Information Systems},
  year = {2016},
  volume = {47},
  number = {1},
  pages = {1--26},
  url = {http://dx.doi.org/10.1007/s10115-015-0878-8}
}
[34] Forestier, G. and Wemmert, C. (2016),
Semi-supervised learning using multiple clusterings with limited labeled data,
Information Sciences. Vol. 361, pp. 48-65.
  BibTeX:
@article{Forestier2016Semisupervisedlearning,
  author = {Forestier, G. and Wemmert, C.},
  title = {Semi-supervised learning using multiple clusterings with limited labeled data},
  journal = {Information Sciences},
  year = {2016},
  volume = {361},
  pages = {48--65},
  url = {http://dx.doi.org/10.1016/j.ins.2016.04.040}
}
[35] Despinoy, F., Bouget, D., Forestier, G., Penet, C., Zemiti, N., Poignet, P. and Jannin, P. (2016),
Unsupervised Trajectory Segmentation for Surgical Gesture Recognition in Robotic Training,
IEEE Transactions on Biomedical Engineering. Vol. 63(6), pp. 1280-1291.
  BibTeX:
@article{Despinoy2016UnsupervisedTrajectorySegmentation,
  author = {Despinoy, F. and Bouget, D. and Forestier, G. and Penet, C. and Zemiti, N. and Poignet, P. and Jannin, P.},
  title = {Unsupervised Trajectory Segmentation for Surgical Gesture Recognition in Robotic Training},
  journal = {IEEE Transactions on Biomedical Engineering},
  year = {2016},
  volume = {63},
  number = {6},
  pages = {1280--1291},
  url = {http://dx.doi.org/10.1109/TBME.2015.2493100}
}
[36] Forestier, G., Riffaud, L. and Jannin, P. (2015),
Automatic phase prediction from low-level surgical activities,
International Journal of Computer Assisted Radiology and Surgery. Vol. 10(6), pp. 833-841.
  BibTeX:
@article{Forestier2015Automaticphaseprediction,
  author = {Forestier, G. and Riffaud, L. and Jannin, P.},
  title = {Automatic phase prediction from low-level surgical activities},
  journal = {International Journal of Computer Assisted Radiology and Surgery},
  year = {2015},
  volume = {10},
  number = {6},
  pages = {833--841},
  url = {http://dx.doi.org/10.1007/s11548-015-1195-0}
}
[37] Mahfoudh, M., Forestier, G., Thiry, L. and Hassenforder, M. (2015),
Algebraic graph transformations for formalizing ontology changes and evolving ontologies,
Knowledge-Based Systems. Vol. 73, pp. 212-226.
  BibTeX:
@article{Mahfoudh2015Algebraicgraphtransformations,
  author = {Mahfoudh, M. and Forestier, G. and Thiry, L. and Hassenforder, M.},
  title = {Algebraic graph transformations for formalizing ontology changes and evolving ontologies},
  journal = {Knowledge-Based Systems},
  year = {2015},
  volume = {73},
  pages = {212--226},
  url = {http://dx.doi.org/10.1016/j.knosys.2014.10.007}
}
[38] Forestier, G., Petitjean, F., Riffaud, L. and Jannin, P. (2014),
Non-linear temporal scaling of surgical processes,
Artificial Intelligence in Medicine. Vol. 62(3), pp. 143-152.
  BibTeX:
@article{Forestier2014Nonlineartemporal,
  author = {Forestier, G. and Petitjean, F. and Riffaud, L. and Jannin, P.},
  title = {Non-linear temporal scaling of surgical processes},
  journal = {Artificial Intelligence in Medicine},
  year = {2014},
  volume = {62},
  number = {3},
  pages = {143--152},
  url = {http://dx.doi.org/10.1016/j.artmed.2014.10.007}
}
[39] Gaignard, A., Montagnat, J., Gibaud, B., Forestier, G. and Glatard, T. (2014),
Domain-specific summarisation of Life-Science e-experiments from provenance traces,
Journal of Web Semantics. Vol. 294, pp. 19-30.
  BibTeX:
@article{Gaignard2014Domainspecificsummarisation,
  author = {Gaignard, A. and Montagnat, J. and Gibaud, B. and Forestier, G. and Glatard, T.},
  title = {Domain-specific summarisation of Life-Science e-experiments from provenance traces},
  journal = {Journal of Web Semantics},
  year = {2014},
  volume = {294},
  pages = {19--30},
  url = {https://doi.org/10.1016/j.websem.2014.07.001}
}
[40] Gibaud, B., Forestier, G., Benoit-Cattin, H., Cervenansky, F., Clarysse, P., Friboulet, D., Gaignard, A., Hugonnard, P., Lartizien, C., Liebgott, H., Montagnat, J., Tabary, J. and Glatard, T. (2014),
OntoVIP: an ontology for the annotation of object models used for medical image simulation,
Journal of Biomedical Informatics . Vol. 52, pp. 279-292.
  BibTeX:
@article{Gibaud2014OntoVIPontologyannotation,
  author = {Gibaud, B. and Forestier, G. and Benoit-Cattin, H. and Cervenansky, F. and Clarysse, P. and Friboulet, D. and Gaignard, A. and Hugonnard, P. and Lartizien, C. and Liebgott, H. and Montagnat, J. and Tabary, J. and Glatard, T.},
  title = {OntoVIP: an ontology for the annotation of object models used for medical image simulation},
  journal = {Journal of Biomedical Informatics },
  year = {2014},
  volume = {52},
  pages = {279--292},
  url = {https://doi.org/10.1016/j.jbi.2014.07.008}
}
[41] Forestier, G., Lalys, F., Riffaud, R., Collins, L., Meixensberger, J., Wassef, S.N., Neumuth, T., Goulet, B. and Jannin, P. (2013),
Multi-site study of surgical practice in neurosurgery based on surgical process models,
Journal of Biomedical Informatics . Vol. 46(5), pp. 822-829.
  BibTeX:
@article{Forestier2013Multisitestudy,
  author = {Forestier, G. and Lalys, F. and Riffaud, R. and Collins, L. and Meixensberger, J. and Wassef, S. N. and Neumuth, T. and Goulet, B. and Jannin, P.},
  title = {Multi-site study of surgical practice in neurosurgery based on surgical process models},
  journal = {Journal of Biomedical Informatics },
  year = {2013},
  volume = {46},
  number = {5},
  pages = {822--829},
  url = {http://dx.doi.org/10.1016/j.jbi.2013.06.006}
}
[42] Forestier, G., Wemmert, C. and Puissant, A. (2013),
Coastal image interpretation using background knowledge and semantics,
Computers & Geosciences. Vol. 54, pp. 88-96.
  BibTeX:
@article{Forestier2013Coastalimageinterpretation,
  author = {G. Forestier and C. Wemmert and A. Puissant},
  title = {Coastal image interpretation using background knowledge and semantics},
  journal = {Computers & Geosciences},
  year = {2013},
  volume = {54},
  pages = {88--96},
  url = {http://dx.doi.org/10.1016/j.cageo.2012.11.023}
}
[43] Forestier, G., Inglada, J., Wemmert, C. and Gançarski, P. (2013),
Comparison of optical sensors discrimination ability using spectral libraries,
International Journal of Remote Sensing. Vol. 34(7), pp. 2327-2349.
  BibTeX:
@article{Forestier2013Comparisonopticalsensors,
  author = {G. Forestier and J. Inglada and C. Wemmert and P. Gançarski},
  title = {Comparison of optical sensors discrimination ability using spectral libraries},
  journal = {International Journal of Remote Sensing},
  year = {2013},
  volume = {34},
  number = {7},
  pages = {2327--2349},
  url = {http://dx.doi.org/10.1080/01431161.2012.744488}
}
[44] Glatard, T., Lartizien, C., Gibaud, B., Ferreira da Silva, R., Forestier, G., Cervenansky, F., Benoit-Cattin, H., Montagnat, J., Tabary, J. and Friboulet, D. (2013),
A Virtual Imaging Platform for multi-modality medical image simulation,
IEEE Transactions on Medical Imaging. Vol. 32(1), pp. 110-118.
  BibTeX:
@article{Glatard2013VirtualImagingPlatform,
  author = {Glatard, T. and Lartizien, C. and Gibaud, B. and Ferreira da Silva, R. and Forestier, G. and Cervenansky, F. and Benoit-Cattin, H. and Montagnat, J. and Tabary, J. and Friboulet, D.},
  title = {A Virtual Imaging Platform for multi-modality medical image simulation},
  journal = {IEEE Transactions on Medical Imaging},
  year = {2013},
  volume = {32},
  number = {1},
  pages = {110--118},
  url = {http://dx.doi.org/10.1109/TMI.2012.2220154}
}
[45] Forestier, G., Puissant, A., Wemmert, C. and Gançarski, P. (2012),
Knowledge-based region labeling for remote sensing image interpretation,
Computers, Environment and Urban Systems. Vol. 36(5), pp. 470-480.
  BibTeX:
@article{Forestier2012Knowledgebasedregion,
  author = {G. Forestier and A. Puissant and C. Wemmert and P. Gançarski},
  title = {Knowledge-based region labeling for remote sensing image interpretation},
  journal = {Computers, Environment and Urban Systems},
  year = {2012},
  volume = {36},
  number = {5},
  pages = {470--480},
  url = {http://dx.doi.org/10.1016/j.compenvurbsys.2012.01.003}
}
[46] Forestier, G., Lalys, F., Riffaud, L., Trelhu, B. and Jannin, P. (2012),
Classification of surgical processes using Dynamic Time Warping,
Journal of Biomedical Informatics. Vol. 45(2), pp. 255-264.
  BibTeX:
@article{Forestier2012Classificationsurgicalprocesses,
  author = {Forestier, G. and Lalys, F. and Riffaud, L. and Trelhu, B and Jannin, P.},
  title = {Classification of surgical processes using Dynamic Time Warping},
  journal = {Journal of Biomedical Informatics},
  year = {2012},
  volume = {45},
  number = {2},
  pages = {255--264},
  url = {http://dx.doi.org/10.1016/j.jbi.2011.11.002}
}
[47] Petitjean, F., Masseglia, F., Gancarski, P. and Forestier, G. (2011),
Discoverig Significant Evolution Patterns from Satellite Image Time Series,
International Journal of Neural Systems. Vol. 21(6), pp. 475-489.
  BibTeX:
@article{Petitjean2011DiscoverigSignificantEvolution,
  author = {Petitjean, F. and Masseglia, F. and Gancarski, P. and Forestier, G.},
  title = {Discoverig Significant Evolution Patterns from Satellite Image Time Series},
  journal = {International Journal of Neural Systems},
  year = {2011},
  volume = {21},
  number = {6},
  pages = {475--489},
  url = {http://dx.doi.org/10.1142/S0129065711003024}
}
[48] Derivaux, S., Forestier, G., Wemmert, C. and Lefèvre, S. (2010),
Supervised image segmentation using watershed transform, fuzzy classification and evolutionary computation,
Pattern Recognition Letters. Vol. 31(15), pp. 2364-2374. Elsevier.
  BibTeX:
@article{Derivaux2010Supervisedimagesegmentation,
  author = {Derivaux, S. and Forestier, G. and Wemmert, C. and Lefèvre, S.},
  title = {Supervised image segmentation using watershed transform, fuzzy classification and evolutionary computation},
  journal = {Pattern Recognition Letters},
  publisher = {Elsevier},
  year = {2010},
  volume = {31},
  number = {15},
  pages = {2364--2374},
  url = {http://dx.doi.org/10.1016/j.patrec.2010.07.007}
}
[49] Forestier, G., Gancarski, P. and Wemmert, C. (2010),
Collaborative clustering with background knowledge,
Data & Knowledge Engineering. Vol. 69(2), pp. 211-228. Elsevier.
  BibTeX:
@article{Forestier2010Collaborativeclusteringwith,
  author = {Forestier, G. and Gancarski, P. and Wemmert, C.},
  title = {Collaborative clustering with background knowledge},
  journal = {Data & Knowledge Engineering},
  publisher = {Elsevier},
  year = {2010},
  volume = {69},
  number = {2},
  pages = {211--228},
  url = {http://dx.doi.org/10.1016/j.datak.2009.10.004}
}
[50] Wemmert, C., Puissant, A., Forestier, G. and Gancarski, P. (2009),
Multiresolution Remote Sensing Image Clustering,
IEEE Geoscience and Remote Sensing Letters. Vol. 6(3), pp. 533-537.
  BibTeX:
@article{Wemmert2009MultiresolutionRemoteSensing,
  author = {Wemmert, C. and Puissant, A. and Forestier, G. and Gancarski, P.},
  title = {Multiresolution Remote Sensing Image Clustering},
  journal = {IEEE Geoscience and Remote Sensing Letters},
  year = {2009},
  volume = {6},
  number = {3},
  pages = {533--537},
  url = {http://dx.doi.org/10.1109/LGRS.2009.2020825}
}
[51] Forestier, G., Wemmert, C. and Gancarski, P. (2008),
Multi-source Images Analysis Using Collaborative Clustering,
EURASIP Journal on Advances in Signal Processing - Special issue on Machine Learning in Image Processing. Vol. 2008(1), pp. 374095. Hindawi.
  BibTeX:
@article{Forestier2008MultisourceImages,
  author = {Forestier, G. and Wemmert, C. and Gancarski, P.},
  title = {Multi-source Images Analysis Using Collaborative Clustering},
  journal = {EURASIP Journal on Advances in Signal Processing - Special issue on Machine Learning in Image Processing},
  publisher = {Hindawi},
  year = {2008},
  volume = {2008},
  number = {1},
  pages = {374095},
  url = {http://dx.doi.org/10.1155/2008/374095}
}

Communications to International Conferences

[1] Wenger, R., Bressant, C., Roettel, L., Forestier, G. and Puissant, A. (2024),
Improving Urban Tree Species Classification With High Resolution Satellite Imagery And Machine Learning,
In IEEE Geoscience and Remote Sensing Symposium (IGARSS). Athens, Greece
  BibTeX:
@inproceedings{Wenger2024ImprovingUrbanTree,
  author = {Wenger, R. and Bressant, C. and Roettel, L. and Forestier, G. and Puissant, A.},
  title = {Improving Urban Tree Species Classification With High Resolution Satellite Imagery And Machine Learning},
  booktitle = {IEEE Geoscience and Remote Sensing Symposium (IGARSS)},
  year = {2024}
}
[2] Ismail-Fawaz, A., Devanne, M., Berretti, S., Weber, J. and Forestier, G. (2023),
LITE: Light Inception with boosTing tEchniques for Time Series Classification,
In International Conference on Data Science and Advanced Analytics (DSAA).
  BibTeX:
@inproceedings{Ismail-Fawaz2023LITELightInception,
  author = {Ismail-Fawaz, A. and Devanne, M. and Berretti, S. and Weber, J. and Forestier, G.},
  title = {LITE: Light Inception with boosTing tEchniques for Time Series Classification},
  booktitle = {International Conference on Data Science and Advanced Analytics (DSAA)},
  year = {2023},
  url = {https://doi.org/10.1109/DSAA60987.2023.10302569}
}
[3] Heckenauer, R., Weber, J., Wemmert, C., Truntzer, C., Derangère, V., Ghiringhelli, F., Hassenforder, M., Muller, P.-A. and Forestier, G. (2023),
Comparison of deep learning architectures for colon cancer mutation detection,
In International Symposium on Computer-Based Medical Systems (CBMS). L'Aquila, Italy
  BibTeX:
@inproceedings{Heckenauer2023Comparisondeeplearning,
  author = {Heckenauer, R. and Weber, J. and Wemmert, C. and Truntzer, C. and Derangère, V. and Ghiringhelli, F. and Hassenforder, M. and Muller, P-A. and Forestier, G.},
  title = {Comparison of deep learning architectures for colon cancer mutation detection},
  booktitle = {International Symposium on Computer-Based Medical Systems (CBMS)},
  year = {2023},
  url = {https://doi.org/10.1109/CBMS58004.2023.00244}
}
[4] Ismail-Fawaz, A., Devanne, M., Weber, J. and Forestier, G. (2023),
Enhancing Time Series Classification with Self-Supervised Learning,
In International Conference on Agents and Artificial Intelligence (ICAART). Lisbon, Portugal
  BibTeX:
@inproceedings{Ismail-FawazEnhancingTimeSeries,
  author = {Ismail-Fawaz, A. and Devanne, M. and Weber, J. and Forestier, G.},
  title = {Enhancing Time Series Classification with Self-Supervised Learning},
  booktitle = {International Conference on Agents and Artificial Intelligence (ICAART)},
  year = {2023},
  url = {https://doi.org/10.5220/0011611300003393}
}
[5] Wenger, R., Puissant, A., Weber, J., Idoumghar, L. and Forestier, G. (2023),
Exploring inference of a land use and land cover model trained on MultiSenGE dataset,
In Joint Urban Remote Sensing Event (JURSE).
  BibTeX:
@inproceedings{Wenger2023Exploringinferenceland,
  author = {Wenger, R. and Puissant, A. and Weber, J. and Idoumghar, L. and Forestier, G.},
  title = {Exploring inference of a land use and land cover model trained on MultiSenGE dataset},
  booktitle = {Joint Urban Remote Sensing Event (JURSE)},
  year = {2023},
  url = {https://doi.org/10.1109/JURSE57346.2023.10144156}
}
[6] Ismail-Fawaz, A., Devanne, M., Weber, J. and Forestier, G. (2022),
Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters,
In IEEE International Conference on Big Data (BigData).
  BibTeX:
@inproceedings{Ismail-Fawaz2022DeepLearningTime,
  author = {Ismail-Fawaz, A. and Devanne, M. and Weber, J. and Forestier, G.},
  title = {Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters},
  booktitle = {IEEE International Conference on Big Data (BigData)},
  year = {2022},
  url = {https://doi.org/10.1109/BigData55660.2022.10020496}
}
[7] Lafabregue, B., Puissant, A., Weber, J. and Forestier, G. (2022),
Deep clustering methods study applied to satellite images time series,
In IEEE Geoscience and Remote Sensing Symposium (IGARSS). Kuala Lumpur, Malaysia
  BibTeX:
@inproceedings{Lafabregue2022Deepclusteringmethods,
  author = {Lafabregue, B. and Puissant, A. and Weber, J. and Forestier, G.},
  title = {Deep clustering methods study applied to satellite images time series},
  booktitle = {IEEE Geoscience and Remote Sensing Symposium (IGARSS)},
  year = {2022},
  url = {https://doi.org/10.1109/IGARSS46834.2022.9884322}
}
[8] Terefe, T., Bethelhem, S., Devanne, M., Weber, J., Woldegebreal, D., Pollin, S. and Forestier, G. (2022),
Deep Representation Learning for Cluster-Level Time Series Forecasting,
In International Conference on Time Series and Forecasting (ITISE). Gran Canaria, Spain
  BibTeX:
@inproceedings{Terefe2022DeepRepresentationLearning,
  author = {Terefe, T. and Bethelhem, S. and Devanne, M. and Weber, J. and Woldegebreal, D. and Pollin, S. and Forestier, G.},
  title = {Deep Representation Learning for Cluster-Level Time Series Forecasting},
  booktitle = {International Conference on Time Series and Forecasting (ITISE)},
  year = {2022},
  url = {https://doi.org/10.3390/engproc2022018022}
}
[9] Ay, E., Devanne, M., Weber, J. and Forestier, G. (2022),
A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification,
In IEEE International Joint Conference on Neural Networks (IJCNN). Padua, Italy
  BibTeX:
@inproceedings{Ay2022studyKnowledgeDistillation,
  author = {Ay, E. and Devanne, M. and Weber, J. and Forestier, G.},
  title = {A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification},
  booktitle = {IEEE International Joint Conference on Neural Networks (IJCNN)},
  year = {2022},
  url = {https://doi.org/10.1109/IJCNN55064.2022.9892915}
}
[10] Chamekh, A., Mahfoudh, M. and Forestier, G. (2022),
Sentiment Analysis Based on Deep Learning in E-Commerce,
In International Conference on Knowledge Science, Engineering and Management (KSEM). Singapore , pp. 498-507.
  BibTeX:
@inproceedings{Chamekh2022SentimentAnalysisBased,
  author = {Chamekh, A. and Mahfoudh, M. and Forestier, G.},
  title = {Sentiment Analysis Based on Deep Learning in E-Commerce},
  booktitle = {International Conference on Knowledge Science, Engineering and Management (KSEM)},
  year = {2022},
  pages = {498--507},
  url = {https://doi.org/10.1007/978-3-031-10986-7_40}
}
[11] Mejbri, H., Mahfoudh, M. and Forestier, G. (2022),
Deep learning-based sentiment analysis for predicting financial movements,
In International Conference on Knowledge Science, Engineering and Management (KSEM). Singapore , pp. 586-596.
  BibTeX:
@inproceedings{Mejbri2022Deeplearningbased,
  author = {Mejbri, H and Mahfoudh, M. and Forestier, G.},
  title = {Deep learning-based sentiment analysis for predicting financial movements},
  booktitle = {International Conference on Knowledge Science, Engineering and Management (KSEM)},
  year = {2022},
  pages = {586--596},
  url = {https://doi.org/10.1007/978-3-031-10986-7_47}
}
[12] Pialla, G., Ismail Fawaz, H., Maxime, D., Weber, J., Idoumghar, L., Muller, P.-A., Bergmeir, C., Schmidt, D., Webb, G. and Forestier, G. (2022),
Smooth Perturbations for Time Series Adversarial Attacks,
In Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). , pp. 485-496.
  BibTeX:
@inproceedings{Pialla2022SmoothPerturbationsTime,
  author = {Pialla, G. and Ismail Fawaz, H. and Maxime, D. and Weber, J. and Idoumghar, L. and Muller, P-A. and Bergmeir, C. and Schmidt, D. and Webb, G. and Forestier, G.},
  title = {Smooth Perturbations for Time Series Adversarial Attacks},
  booktitle = {Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)},
  year = {2022},
  pages = {485--496},
  url = {https://doi.org/10.1007/978-3-031-05933-9_38}
}
[13] Wenger, R., Puissant, A., Weber, J., Idoumghar, L. and Forestier, G. (2022),
Multisenge : A Multimodal And Multitemporal Benchmark Dataset For Land Use/land Cover Remote Sensing Applications,
In The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS).
  BibTeX:
@inproceedings{Wenger2022MultisengeMultimodal,
  author = {Wenger, R. and Puissant, A. and Weber, J. and Idoumghar, L. and Forestier, G.},
  title = {Multisenge : A Multimodal And Multitemporal Benchmark Dataset For Land Use/land Cover Remote Sensing Applications},
  booktitle = {The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS)},
  year = {2022},
  url = {https://doi.org/10.5194/isprs-annals-V-3-2022-635-2022}
}
[14] Rmouque, I., Devanne, M., Weber, J., Forestier, G. and Wemmert, C. (2022),
Ensemble clustering for histopathological images segmentation using convolutional autoencoders,
In International Conference on Computer Vision Theory and Applications (VISAPP). , pp. 933-940.
  BibTeX:
@inproceedings{Rmouque2022Ensembleclusteringhistopathological,
  author = {Rmouque, I and Devanne, M. and Weber, J. and Forestier, G. and Wemmert, C.},
  title = {Ensemble clustering for histopathological images segmentation using convolutional autoencoders},
  booktitle = {International Conference on Computer Vision Theory and Applications (VISAPP)},
  year = {2022},
  pages = {933-940},
  url = {https://doi.org/10.5220/0010835300003124}
}
[15] Lafabregue, B., Weber, J., Gançarski, P. and Forestier, G. (2021),
Grad Centroid Activation Mapping for Convolutional Neural Networks,
In IEEE International Conference on Tools with Artificial Intelligence (ICTAI).
  BibTeX:
@inproceedings{Lafabregue2021GradCentroidActivation,
  author = {Lafabregue, B. and Weber, J. and Gançarski, P. and Forestier, G.},
  title = {Grad Centroid Activation Mapping for Convolutional Neural Networks},
  booktitle = {IEEE International Conference on Tools with Artificial Intelligence (ICTAI)},
  year = {2021},
  url = {https://doi.org/10.1109/ICTAI52525.2021.00033}
}
[16] Bendali-Braham, M., Weber, J., Forestier, G., Idoumghar, L. and Muller, P.-A. (2021),
Ensemble classification of video-recorded crowd movements,
In International Symposium on Image and Signal Processing and Analysis (ISPA).
  BibTeX:
@inproceedings{Bendali-Braham2021Ensembleclassificationvideo,
  author = {Bendali-Braham, M. and Weber, J. and Forestier, G. and Idoumghar, L. and Muller, P-A.},
  title = {Ensemble classification of video-recorded crowd movements},
  booktitle = {International Symposium on Image and Signal Processing and Analysis (ISPA)},
  year = {2021},
  url = {https://doi.org/10.1109/ISPA52656.2021.9552129}
}
[17] Terefe, T., Devanne, M., Weber, J., Hailemariam, D. and Forestier, G. (2020),
Time Series Averaging Using Multi-Tasking Autoencoder,
In IEEE International Conference on Tools with Artificial Intelligence (ICTAI).
  BibTeX:
@inproceedings{Terefe2020TimeSeriesAveraging,
  author = {Terefe, T. and Devanne, M. and Weber, J. and Hailemariam, D. and Forestier, G.},
  title = {Time Series Averaging Using Multi-Tasking Autoencoder},
  booktitle = {IEEE International Conference on Tools with Artificial Intelligence (ICTAI)},
  year = {2020},
  url = {https://doi.org/10.1109/ICTAI50040.2020.00163}
}
[18] Poterek, Q., Herrault, P.-A., Forestier, G. and Schwartz, D. (2020),
Revealing Long-term Physiological Trajectories of grasslands from Legacy B&W Aerial Photographs,
In The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS). Nice, France Vol. V-3-2020, pp. 549-557.
  BibTeX:
@inproceedings{Poterek2020RevealingLongterm,
  author = {Poterek, Q. and Herrault, P-A. and Forestier, G. and Schwartz, D.},
  title = {Revealing Long-term Physiological Trajectories of grasslands from Legacy B&W Aerial Photographs},
  booktitle = {The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS)},
  year = {2020},
  volume = {V-3-2020},
  pages = {549--557},
  url = {https://doi.org/10.5194/isprs-annals-V-3-2020-549-2020}
}
[19] Bernard, N., Weber, J., Forestier, G., Hassenforder, M. and Latard, B. (2020),
Knowledge-Based Categorization of Scientific Articles for Similarity Predictions,
In International Conference on Theory and Practice of Digital Libraries (TPDL). Lyon, France
  BibTeX:
@inproceedings{Bernard2020KnowledgeBasedCategorization,
  author = {Bernard, N. and Weber, J. and Forestier, G. and Hassenforder, M. and Latard, B.},
  title = {Knowledge-Based Categorization of Scientific Articles for Similarity Predictions},
  booktitle = {International Conference on Theory and Practice of Digital Libraries (TPDL)},
  year = {2020},
  url = {https://doi.org/10.1007/978-3-030-54956-5_11}
}
[20] Heckenauer, R., Weber, J., Wemmert, C., Feuerhake, F., Hassenforder, M., Muller, P.-A. and Forestier, G. (2020),
Real-time detection of glomeruli in renal pathology,
In International Symposium on Computer-Based Medical Systems (CBMS). , pp. 350-355.
  BibTeX:
@inproceedings{Heckenauer2020Realtimedetection,
  author = {Heckenauer, R. and Weber, J. and Wemmert, C. and Feuerhake, F. and Hassenforder, M. and Muller, P-A. and Forestier, G.},
  title = {Real-time detection of glomeruli in renal pathology},
  booktitle = {International Symposium on Computer-Based Medical Systems (CBMS)},
  year = {2020},
  pages = {350-355},
  url = {https://doi.org/10.1109/CBMS49503.2020.00072}
}
[21] Rakhshani, H., Ismail Fawaz, H., Idoumghar, L., Forestier, G., Lepagnot, J., Weber, J., Brevilliers, B. and Muller, P.-A. (2020),
Neural Architecture Search for Time Series Classification,
In IEEE International Joint Conference on Neural Networks (IJCNN). Glasgow, UK , pp. 1-8.
  BibTeX:
@inproceedings{Rakhshani2020NeuralArchitectureSearch,
  author = {Rakhshani, H. and Ismail Fawaz, H. and Idoumghar, L. and Forestier, G. and Lepagnot, J. and Weber, J. and Brevilliers, B. and Muller, P-A.},
  title = {Neural Architecture Search for Time Series Classification},
  booktitle = {IEEE International Joint Conference on Neural Networks (IJCNN)},
  year = {2020},
  pages = {1-8},
  url = {https://doi.org/10.1109/IJCNN48605.2020.9206721}
}
[22] Rakhshani, H., Latard B. Brevilliers, M., Weber, J., Lepagnot, J., Forestier, G., Hassenforder, M. and Idoumghar, L. (2020),
Automated Machine Learning for Information Retrieval in Scientific Articles,
In IEEE Congress on Evolutionary Computation (CEC). Glasgow, UK , pp. 1-7.
  BibTeX:
@inproceedings{Rakhshani2020AutomatedMachineLearning,
  author = {Rakhshani, H. and Latard, B. Brevilliers, M. and Weber, J. and Lepagnot, J. and Forestier, G. and Hassenforder, M. and Idoumghar, L.},
  title = {Automated Machine Learning for Information Retrieval in Scientific Articles},
  booktitle = {IEEE Congress on Evolutionary Computation (CEC)},
  year = {2020},
  pages = {1-7},
  url = {https://doi.org/10.1109/CEC48606.2020.9185893}
}
[23] Bendali-Braham, M., Weber, J., Forestier, G., Idoumghar, L. and Muller, P.-A. (2019),
Transfer learning for the classification of video-recorded crowd movements,
In International Symposium on Image and Signal Processing and Analysis (ISPA). Dubrovnik, Croatia , pp. 271-276.
  BibTeX:
@inproceedings{Bendali-Braham2019Transferlearningclassification,
  author = {Bendali-Braham, M. and Weber, J. and Forestier, G. and Idoumghar, L. and Muller, P-A.},
  title = {Transfer learning for the classification of video-recorded crowd movements},
  booktitle = {International Symposium on Image and Signal Processing and Analysis (ISPA)},
  year = {2019},
  pages = {271--276},
  url = {https://doi.org/10.1109/ISPA.2019.8868704}
}
[24] Ismail Fawaz, H., Forestier, G., Weber, J., Petitjean, F., Idoumghar, L. and Muller, P.-A. (2019),
Automatic alignment of surgical videos using kinematic data,
In International Conference on Artificial Intelligence in Medicine (AIME). Poznan, Poland Vol. 11526, pp. 104-113.
  BibTeX:
@inproceedings{IsmailFawaz2019Automaticalignmentsurgical,
  author = {Ismail Fawaz, H. and Forestier, G. and Weber, J. and Petitjean, F. and Idoumghar, L and Muller, P-A.},
  title = {Automatic alignment of surgical videos using kinematic data},
  booktitle = {International Conference on Artificial Intelligence in Medicine (AIME)},
  year = {2019},
  volume = {11526},
  pages = {104--113},
  url = {https://doi.org/10.1007/978-3-030-21642-9_14}
}
[25] Ismail Fawaz, H., Forestier, G., Weber, J., Idoumghar, L. and Muller, P.-A. (2019),
Deep Neural Network Ensembles for Time Series Classification,
In IEEE International Joint Conference on Neural Networks (IJCNN). Budapest, Hungary
  BibTeX:
@inproceedings{IsmailFawaz2019DeepNeuralNetwork,
  author = {Ismail Fawaz, H. and Forestier, G. and Weber, J. and Idoumghar, L and Muller, P-A.},
  title = {Deep Neural Network Ensembles for Time Series Classification},
  booktitle = {IEEE International Joint Conference on Neural Networks (IJCNN)},
  year = {2019},
  url = {https://doi.org/10.1109/IJCNN.2019.8852316}
}
[26] Ismail Fawaz, H., Forestier, G., Weber, J., Idoumghar, L. and Muller, P.-A. (2019),
Adversarial Attacks on Deep Neural Networks for Time Series Classification,
In IEEE International Joint Conference on Neural Networks (IJCNN). Budapest, Hungary
  BibTeX:
@inproceedings{IsmailFawaz2019AdversarialAttacksDeep,
  author = {Ismail Fawaz, H. and Forestier, G. and Weber, J. and Idoumghar, L and Muller, P-A.},
  title = {Adversarial Attacks on Deep Neural Networks for Time Series Classification},
  booktitle = {IEEE International Joint Conference on Neural Networks (IJCNN)},
  year = {2019},
  url = {https://doi.org/10.1109/IJCNN.2019.8851936}
}
[27] Lampert, T., Merveille, O., Schmitz, J., Forestier, G., Feuerhake, F. and Wemmert, C. (2019),
Strategies For Training Stain Invariant CNNs,
In IEEE International Symposium on Biomedical Imaging (ISBI). Venice, Italy , pp. 905-909.
  BibTeX:
@inproceedings{Lampert2019StrategiesTrainingStain,
  author = {Lampert, T. and Merveille, O. and Schmitz, J. and Forestier, G. and Feuerhake, F. and Wemmert, C.},
  title = {Strategies For Training Stain Invariant CNNs},
  booktitle = {IEEE International Symposium on Biomedical Imaging (ISBI)},
  year = {2019},
  pages = {905--909},
  url = {https://doi.org/10.1109/ISBI.2019.8759266}
}
[28] Ismail Fawaz, H., Forestier, G., Weber, J., Idoumghar, L. and Muller, P.-A. (2018),
Transfer learning for time series classification,
In IEEE International Conference on Big Data (Big Data). Seattle, Washington , pp. 1367-1376.
  BibTeX:
@inproceedings{IsmailFawaz2018Transferlearningtime,
  author = {Ismail Fawaz, H. and Forestier, G. and Weber, J. and Idoumghar, L and Muller, P-A.},
  title = {Transfer learning for time series classification},
  booktitle = {IEEE International Conference on Big Data (Big Data)},
  year = {2018},
  pages = {1367--1376},
  url = {https://doi.org/10.1109/BigData.2018.8621990}
}
[29] Ismail Fawaz, H., Forestier, G., Weber, J., Idoumghar, L. and Muller, P.-A. (2018),
Evaluating Surgical Skills from Kinematic Data Using Convolutional Neural Networks,
In Medical Image Computing and Computer Assisted Intervention (MICCAI). Grenada, Spain Vol. 11073, pp. 214-221.
  BibTeX:
@inproceedings{IsmailFawaz2018Evaluatingsurgicalskills,
  author = {Ismail Fawaz, H. and Forestier, G. and Weber, J. and Idoumghar, L and Muller, P-A.},
  title = {Evaluating Surgical Skills from Kinematic Data Using Convolutional Neural Networks},
  booktitle = {Medical Image Computing and Computer Assisted Intervention (MICCAI)},
  year = {2018},
  volume = {11073},
  pages = {214--221},
  url = {https://doi.org/10.1007/978-3-030-00937-3_25}
}
[30] Forestier, G., Riffaud, L., Petitjean, F., Henaux, P.-L. and Jannin, P. (2018),
Surgical skills: Can learning curves be computed from recordings of surgical activities?,
In International Conference on Information Processing in Computer-Assisted Interventions (IPCAI). Berlin, Germany
  BibTeX:
@inproceedings{Forestier2018SurgicalskillsCan,
  author = {Forestier, G. and Riffaud, L. and Petitjean, F. and Henaux, P-L. and Jannin, P.},
  title = {Surgical skills: Can learning curves be computed from recordings of surgical activities?},
  booktitle = {International Conference on Information Processing in Computer-Assisted Interventions (IPCAI)},
  year = {2018},
  url = {https://doi.org/10.1007/s11548-018-1713-y}
}
[31] Tan, C., Herrmann, M., Forestier, G. and Webb G. Petitjean, F. (2018),
Efficient search of the best warping window for Dynamic Time Warping,
In SIAM International Conference on Data Mining (SDM). San Diego, California , pp. 225-233.
  BibTeX:
@inproceedings{Tan2018Efficientsearchbest,
  author = {Tan, C. and Herrmann, M. and Forestier, G. and Webb, G. Petitjean, F.},
  title = {Efficient search of the best warping window for Dynamic Time Warping},
  booktitle = {SIAM International Conference on Data Mining (SDM)},
  year = {2018},
  pages = {225--233},
  url = {https://doi.org/10.1137/1.9781611975321.26}
}
[32] Forestier, G., Petitjean, F., Webb, G., Dau, H.-A. and Keogh, E. (2017),
Generating synthetic time series to augment sparse datasets,
In IEEE International Conference on Data Mining (ICDM). New Orleans, Louisiana , pp. 865-870.
  BibTeX:
@inproceedings{Forestier2017Generatingsynthetictime,
  author = {Forestier, G. and Petitjean, F. and Webb, G. and Dau, H-A. and Keogh, E.},
  title = {Generating synthetic time series to augment sparse datasets},
  booktitle = {IEEE International Conference on Data Mining (ICDM)},
  year = {2017},
  pages = {865--870},
  url = {https://doi.org/10.1109/ICDM.2017.106}
}
[33] Temerinac-Ott, M., Forestier, G., Schmitz, J., Hermsen, M., Brasen, J., Feuerhake, F. and Wemmert, C. (2017),
Detection of glomeruli in renal pathology by mutual comparison of multiple staining modalities,
In International Symposium on Image and Signal Processing and Analysis (ISPA). Ljubljana, Slovenia , pp. 19-24.
  BibTeX:
@inproceedings{Temerinac-Ott2017Detectionglomeruliin,
  author = {Temerinac-Ott, M. and Forestier, G. and Schmitz, J. and Hermsen, M. and Brasen, J.H. and Feuerhake, F. and Wemmert, C.},
  title = {Detection of glomeruli in renal pathology by mutual comparison of multiple staining modalities},
  booktitle = {International Symposium on Image and Signal Processing and Analysis (ISPA)},
  year = {2017},
  pages = {19--24},
  url = {https://doi.org/10.1109/ISPA.2017.8073562}
}
[34] Latard, B., Weber, J., Forestier, G. and Hassenforder, M. (2017),
Towards a Semantic Search Engine for Scientific Articles,
In International Conference on Theory and Practice of Digital Libraries (TPDL). Athens, Greece Vol. 10450, pp. 608-611. Springer.
  BibTeX:
@inproceedings{Latard2017TowardsSemanticSearch,
  author = {Latard, B. and Weber, J. and Forestier, G. and Hassenforder, M.},
  title = {Towards a Semantic Search Engine for Scientific Articles},
  booktitle = {International Conference on Theory and Practice of Digital Libraries (TPDL)},
  publisher = {Springer},
  year = {2017},
  volume = {10450},
  pages = {608--611},
  url = {https://doi.org/10.1007/978-3-319-67008-9_54}
}
[35] Latard, B., Weber, J., Forestier, G. and Hassenforder, M. (2017),
Using Semantic Relations between Keywords to Categorize Articles from Scientific Literature,
In IEEE International Conference on Tools with Artificial Intelligence (ICTAI). Boston, Massachusetts , pp. 260-264.
  BibTeX:
@inproceedings{Latard2017UsingSemanticRelations,
  author = {Latard, B. and Weber, J. and Forestier, G. and Hassenforder, M.},
  title = {Using Semantic Relations between Keywords to Categorize Articles from Scientific Literature},
  booktitle = {IEEE International Conference on Tools with Artificial Intelligence (ICTAI)},
  year = {2017},
  pages = {260--264},
  url = {https://doi.org/10.1109/ICTAI.2017.00049}
}
[36] Forestier, G., Petitjean, F., Senin, P., Despinoy, F. and Jannin, P. (2017),
Discovering Discriminative and Interpretable Patterns for Surgical Motion Analysis,
In International Conference on Artificial Intelligence in Medicine (AIME). Vienna, Austria Vol. 10259, pp. 136-145. Springer.
  BibTeX:
@inproceedings{Forestier2017DiscoveringDiscriminativeand,
  author = {Forestier, G. and Petitjean, F. and Senin, P. and Despinoy, F. and Jannin, P.},
  title = {Discovering Discriminative and Interpretable Patterns for Surgical Motion Analysis},
  booktitle = {International Conference on Artificial Intelligence in Medicine (AIME)},
  publisher = {Springer},
  year = {2017},
  volume = {10259},
  pages = {136--145},
  url = {http://dx.doi.org/10.1007/978-3-319-59758-4_15}
}
[37] Dau, H.-A., Furtado Silva, D., Petitjean, F., Forestier, G., Bagnall, A. and Keogh, E. (2017),
Judicious Setting of Dynamic Time Warping's Warping Window Width allows more Accurate Classification of Time Series,
In IEEE International Conference on Big Data (Big Data). Boston, Massachusetts , pp. 917-922.
  BibTeX:
@inproceedings{Dau2017JudiciousSettingDynamic,
  author = {Dau, H-A. and Furtado Silva, D. and Petitjean, F. and Forestier, G. and Bagnall, A. and Keogh, E.},
  title = {Judicious Setting of Dynamic Time Warping's Warping Window Width allows more Accurate Classification of Time Series},
  booktitle = {IEEE International Conference on Big Data (Big Data)},
  year = {2017},
  pages = {917--922},
  url = {https://doi.org/10.1109/BigData.2017.8258009}
}
[38] Luu, V., Forestier, G., Ripken, M., Fondement, F. and Muller, P.-A. (2016),
Web usage prediction and recommendation using web session clustering,
In International Conference on Digital Information Management (ICDIM). Porto, Portugal , pp. 107-113.
  BibTeX:
@inproceedings{Luu2016Webusageprediction,
  author = {Luu, VT. and Forestier, G. and Ripken, M. and Fondement, F. and Muller, P-A.},
  title = {Web usage prediction and recommendation using web session clustering},
  booktitle = {International Conference on Digital Information Management (ICDIM)},
  year = {2016},
  pages = {107--113},
  url = {https://doi.org/10.1109/ICDIM.2016.7829779}
}
[39] Mahfoudh, M., Forestier, G. and Hassenforder, M. (2016),
A Benchmark for Ontologies Merging Assessment,
In International Conference on Knowledge Science, Engineering and Management (KSEM). Passau, Germany Vol. 9983, pp. 555-566.
  BibTeX:
@inproceedings{Mahfoudh2016BenchmarkOntologiesMerging,
  author = {Mahfoudh, M. and Forestier, G. and Hassenforder, M.},
  title = {A Benchmark for Ontologies Merging Assessment},
  booktitle = {International Conference on Knowledge Science, Engineering and Management (KSEM)},
  year = {2016},
  volume = {9983},
  pages = {555--566},
  url = {http://dx.doi.org/10.1007/978-3-319-47650-6_44}
}
[40] Luu, V., Ripken, M., Forestier, G., Fondement, F. and Muller, P.-A. (2016),
Using Glocal Event Alignment for Comparing Sequences of Significantly Different Lengths,
In Machine Learning and Data Mining in Pattern Recognition (MLDM). New York, USA Vol. 9729, pp. 58-72. Springer.
  BibTeX:
@inproceedings{Luu2016UsingGlocalEvent,
  author = {Luu, VT. and Ripken, M. and Forestier, G. and Fondement, F. and Muller, P-A.},
  title = {Using Glocal Event Alignment for Comparing Sequences of Significantly Different Lengths},
  booktitle = {Machine Learning and Data Mining in Pattern Recognition (MLDM)},
  publisher = {Springer},
  year = {2016},
  volume = {9729},
  pages = {58--72},
  url = {https://doi.org/10.1007/978-3-319-41920-6_5}
}
[41] Apou, G., Feuerhake, F., Forestier, G., Naegel, B. and Wemmert, C. (2015),
Synthesizing Whole Slide Images,
In International Symposium on Image and Signal Processing and Analysis (ISPA). Zagreb, Croatia , pp. 154-159.
  BibTeX:
@inproceedings{Apou2015SynthesizingWholeSlide,
  author = {Apou, G. and Feuerhake, F. and Forestier, G. and Naegel, B. and Wemmert, C.},
  title = {Synthesizing Whole Slide Images},
  booktitle = {International Symposium on Image and Signal Processing and Analysis (ISPA)},
  year = {2015},
  pages = {154--159},
  url = {http://dx.doi.org/10.1109/ISPA.2015.7306050}
}
[42] Forestier, G., Riffaud, L. and Jannin, P. (2015),
Automatic phase prediction from low-level surgical activities,
In International Conference on Information Processing in Computer-Assisted Interventions (IPCAI). Barcelona, Spain
  BibTeX:
@inproceedings{Forestier2015Automaticphaseprediction,
  author = {Forestier, G. and Riffaud, L. and Jannin, P.},
  title = {Automatic phase prediction from low-level surgical activities},
  booktitle = {International Conference on Information Processing in Computer-Assisted Interventions (IPCAI)},
  year = {2015},
  url = {http://dx.doi.org/10.1007/s11548-015-1195-0}
}
[43] Forestier, G., Petitjean, F., Riffaud, L. and Jannin, P. (2015),
Optimal Sub-Sequence Matching for the Automatic Prediction of Surgical Tasks,
In International Conference on Artificial Intelligence in Medicine (AIME). Pavia, Italy Vol. 9105, pp. 123-132. Springer.
  BibTeX:
@inproceedings{Forestier2015Optimalsubsequence,
  author = {Forestier, G. and Petitjean, F. and Riffaud, L. and Jannin, P.},
  title = {Optimal Sub-Sequence Matching for the Automatic Prediction of Surgical Tasks},
  booktitle = {International Conference on Artificial Intelligence in Medicine (AIME)},
  publisher = {Springer},
  year = {2015},
  volume = {9105},
  pages = {123--132},
  url = {http://dx.doi.org/10.1007/978-3-319-19551-3_15}
}
[44] Petitjean, F., Forestier, G., Webb, G., Nicholson, A., Chen, Y. and Keogh, E. (2014),
Dynamic Time Warping Averaging of Time Series allows Faster and more Accurate Classification,
In IEEE International Conference on Data Mining (ICDM). Shenzhen, China , pp. 470-479.
  BibTeX:
@inproceedings{Petitjean2014DynamicTimeWarping,
  author = {Petitjean, F. and Forestier, G. and Webb, G. and Nicholson, A. and Chen, Y. and Keogh, E.},
  title = {Dynamic Time Warping Averaging of Time Series allows Faster and more Accurate Classification},
  booktitle = {IEEE International Conference on Data Mining (ICDM)},
  year = {2014},
  pages = {470--479},
  url = {http://dx.doi.org/10.1109/ICDM.2014.27}
}
[45] Mahfoudh, M., Thiry, L., Forestier, G. and Hassenforder, M. (2014),
Algebraic Graph Transformations for Merging Ontologies,
In International Conference on Model and Data Engineering (MEDI). Larnaca, Cyprus , pp. 154-168.
  BibTeX:
@inproceedings{Mahfoudh2014AlgebraicGraphTransformations,
  author = {Mahfoudh, M. and Thiry, L. and Forestier, G. and Hassenforder, M.},
  title = {Algebraic Graph Transformations for Merging Ontologies},
  booktitle = {International Conference on Model and Data Engineering (MEDI)},
  year = {2014},
  pages = {154--168},
  url = {https://doi.org/10.1007/978-3-319-11587-0_16}
}
[46] Apou, G., Naegel, B., Forestier, G., Feuerhake, F. and Wemmert, C. (2014),
Fast Segmentation for Texture-based Cartography of whole Slide Images,
In International Conference on Computer Vision Theory and Applications (VISAPP). Lisbon, Portugal , pp. 309-319.
  BibTeX:
@inproceedings{Apou2014Fastsegmentationtexture,
  author = {Apou, G. and Naegel, B. and Forestier, G. and Feuerhake, F. and Wemmert, C.},
  title = {Fast Segmentation for Texture-based Cartography of whole Slide Images},
  booktitle = {International Conference on Computer Vision Theory and Applications (VISAPP)},
  year = {2014},
  pages = {309--319},
  url = {https://doi.org/10.5220/0004687403090319}
}
[47] Belarte, B., Wemmert, C., Forestier, G., Grizonnet, M. and Weber, C. (2013),
Learning fuzzy rules to characterize objects of interest from remote sensing images,
In IEEE Geoscience and Remote Sensing Symposium (IGARSS). Melbourne, Australia , pp. 2986-2989.
  BibTeX:
@inproceedings{Belarte2013LearningFuzzyRules,
  author = {Belarte, B. and Wemmert, C. and Forestier, G. and Grizonnet, M. and Weber, C.},
  title = {Learning fuzzy rules to characterize objects of interest from remote sensing images},
  booktitle = {IEEE Geoscience and Remote Sensing Symposium (IGARSS)},
  year = {2013},
  pages = {2986--2989},
  url = {https://doi.org/10.1109/IGARSS.2013.6723453}
}
[48] Fondement, F., Muller, P.-A., Thiry, L., Wittmann, B. and Forestier, G. (2013),
Big Metamodels are Evil,
In ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS). Miami, Florida , pp. 138-153.
  BibTeX:
@inproceedings{Fondement2013BigMetamodelsare,
  author = {Fondement, F. and Muller, P-A. and Thiry, L. and Wittmann, B. and Forestier, G.},
  title = {Big Metamodels are Evil},
  booktitle = {ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS)},
  year = {2013},
  pages = {138--153},
  url = {https://doi.org/10.1007/978-3-642-41533-3_9}
}
[49] Mahfoudh, M., Forestier, G., Thiry, L. and Hassenforder, M. (2013),
Consistent Ontologies Evolution Using Graph Grammars,
In International Conference on Knowledge Science, Engineering and Management (KSEM). Dalian, China Vol. 8041, pp. 64-75.
  BibTeX:
@inproceedings{Mahfoudh2013Consistentontologiesevolution,
  author = {Mahfoudh, M. and Forestier, G. and Thiry, L. and Hassenforder, M.},
  title = {Consistent Ontologies Evolution Using Graph Grammars},
  booktitle = {International Conference on Knowledge Science, Engineering and Management (KSEM)},
  year = {2013},
  volume = {8041},
  pages = {64--75},
  url = {https://doi.org/10.1007/978-3-642-39787-5_6}
}
[50] Wemmert, C., Kruger, J., Forestier, G., Sternberger, L., Feuerhake, F. and Gancarski, P. (2013),
Stain unmixing in brightfield multiplexed immunohistochemistry,
In IEEE International Conference on Image Processing (ICIP). Melbourne, Australia Vol. 13, pp. 1125-1129.
  BibTeX:
@inproceedings{Wemmert2013Stainunmixingin,
  author = {Wemmert, C. and Kruger, J. and Forestier, G. and Sternberger, L. and Feuerhake, F. and Gancarski, P.},
  title = {Stain unmixing in brightfield multiplexed immunohistochemistry},
  booktitle = {IEEE International Conference on Image Processing (ICIP)},
  year = {2013},
  volume = {13},
  pages = {1125--1129},
  url = {https://doi.org/10.1109/ICIP.2013.6738232}
}
[51] Gibaud, B., Forestier, G., Benoit-Cattin, H., Cervenansky, F., Clarysse, P., Friboulet, D., Gaignard, A., Hugonnard, P., Lartizien, C., Liebgott, H., Montagnat, J., Tabary, J. and Glatard, T. (2012),
OntoVIP : an ontology for the annotation of object models used for medical image simulation,
In IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology (HISB). San Diego, California , pp. 110-110.
  BibTeX:
@inproceedings{Gibaud2012OntoVIPontology,
  author = {Gibaud, B. and Forestier, G. and Benoit-Cattin, H. and Cervenansky, F. and Clarysse, P. and Friboulet, D. and Gaignard, A. and Hugonnard, P. and Lartizien, C. and Liebgott, H. and Montagnat, J. and Tabary, J. and Glatard, T.},
  title = {OntoVIP : an ontology for the annotation of object models used for medical image simulation},
  booktitle = {IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology (HISB)},
  year = {2012},
  pages = {110--110},
  url = {https://doi.org/10.1109/HISB.2012.35}
}
[52] Glatard, T., Marion, A., Benoit-Cattin, H., Camarasu-Pop, S., Clarysse, P., Ferreira, R., Forestier, G., Gibaud, B., Lartizien, C., Liebgott, H., Moulin, K. and Friboulet, D. (2012),
Multi-modality image simulation with the Virtual Imaging Platform: illustration on cardiac echography and MRI,
In IEEE International Symposium on Biomedical Imaging (ISBI). Barcelona, Spain , pp. 98-101.
  BibTeX:
@inproceedings{Glatard2012Multimodalityimage,
  author = {Glatard, T. and Marion, A. and Benoit-Cattin, H. and Camarasu-Pop, S. and Clarysse, P. and Ferreira, R. and Forestier, G. and Gibaud, B. and Lartizien, C. and Liebgott, H. and Moulin, K. and Friboulet, D.},
  title = {Multi-modality image simulation with the Virtual Imaging Platform: illustration on cardiac echography and MRI},
  booktitle = {IEEE International Symposium on Biomedical Imaging (ISBI)},
  year = {2012},
  pages = {98--101},
  url = {https://doi.org/10.1109/ISBI.2012.6235493}
}
[53] Forestier, G., Marion, A., Benoit-Cattin, H., Clarysse, P., Friboulet, D., Glatard, T., Hugonnard, P., Lartizien, C., Liebgott, H., Tabary, J. and Gibaud, B. (2011),
Sharing object models for multi-modality medical image simulation: a semantic approach,
In International Symposium on Computer-Based Medical Systems (CBMS). Bristol, UK , pp. 1-6.
  BibTeX:
@inproceedings{Forestier2011Sharingobjectmodels,
  author = {Forestier, G. and Marion, A. and Benoit-Cattin, H. and Clarysse, P. and Friboulet, D. and Glatard, T. and Hugonnard, P. and Lartizien, C. and Liebgott, H. and Tabary, J. and Gibaud, B.},
  title = {Sharing object models for multi-modality medical image simulation: a semantic approach},
  booktitle = {International Symposium on Computer-Based Medical Systems (CBMS)},
  year = {2011},
  pages = {1-6},
  url = {https://doi.org/10.1109/CBMS.2011.5999167}
}
[54] Marion, A., Forestier, G., Benoit-Cattin, H., Camarasu-Pop, S., Clarysse, P., Silva, R., Gibaud, B., Glatard, T., Hugonnard, P., Lartizien, C., Liebgott, Tabary, J., Valette, S. and Friboulet, D. (2011),
Multi-modality medical image simulation of biological models with the Virtual Imaging Platform (VIP),
In International Symposium on Computer-Based Medical Systems (CBMS). Bristol, UK , pp. 1-6.
  BibTeX:
@inproceedings{Marion2011Multimodalitymedical,
  author = {Marion, A. and Forestier, G. and Benoit-Cattin, H and Camarasu-Pop, S. and Clarysse, P. and Silva, R. and Gibaud, B and Glatard, T. and Hugonnard, P. and Lartizien, C. and Liebgott and Tabary, J. and Valette, S. and Friboulet, D.},
  title = {Multi-modality medical image simulation of biological models with the Virtual Imaging Platform (VIP)},
  booktitle = {International Symposium on Computer-Based Medical Systems (CBMS)},
  year = {2011},
  pages = {1--6},
  url = {https://doi.org/10.1109/CBMS.2011.5999141}
}
[55] Forestier, G., Wemmert, C. and Gancarski, P. (2010),
Background Knowledge Integration in Clustering Using Purity Indexes,
In International Conference on Knowledge Science, Engineering and Management (KSEM). Belfast, UK Vol. 6291, pp. 28-38. Springer.
  BibTeX:
@inproceedings{Forestier2010Backgroundknowledgeintegration,
  author = {Forestier, G. and Wemmert, C. and Gancarski, P.},
  title = {Background Knowledge Integration in Clustering Using Purity Indexes},
  booktitle = {International Conference on Knowledge Science, Engineering and Management (KSEM)},
  publisher = {Springer},
  year = {2010},
  volume = {6291},
  pages = {28--38},
  url = {https://doi.org/10.1007/978-3-642-15280-1_6}
}
[56] Forestier, G., Wemmert, C. and Gancarski, P. (2010),
Towards conflict resolution in collaborative clustering,
In IEEE International Conference on Intelligent Systems (IS). London, UK , pp. 361-366.
  BibTeX:
@inproceedings{Forestier2010Towardsconflictresolution,
  author = {Forestier, G. and Wemmert, C. and Gancarski, P.},
  title = {Towards conflict resolution in collaborative clustering},
  booktitle = {IEEE International Conference on Intelligent Systems (IS)},
  year = {2010},
  pages = {361--366},
  url = {https://doi.org/10.1109/IS.2010.5548343}
}
[57] Petitjean, F., Gancarski, P., Masselgia, F. and Forestier, G. (2010),
Analysing Satellite Image Time Series by Means of Pattern Mining,
In International Conference on Intelligent Data Engineering and Automated Learning (IDEAL). Paisley, UK Vol. 6283, pp. 45-52. Springer.
  BibTeX:
@inproceedings{Petitjean2010AnalysingSatelliteImage,
  author = {Petitjean, F. and Gancarski, P. and Masselgia, F. and Forestier, G.},
  title = {Analysing Satellite Image Time Series by Means of Pattern Mining},
  booktitle = {International Conference on Intelligent Data Engineering and Automated Learning (IDEAL)},
  publisher = {Springer},
  year = {2010},
  volume = {6283},
  pages = {45--52},
  url = {https://doi.org/10.1007/978-3-642-15381-5_6}
}
[58] Forestier, G., Inglada, J., Wemmert, C. and Gancarski, P. (2009),
Mining spectral libraries to study sensors' discrimination ability,
In SPIE Europe Remote Sensing. Berlin, Germany Vol. 7478, pp. 9p.
  BibTeX:
@inproceedings{Forestier2009Miningspectrallibraries,
  author = {Forestier, G. and Inglada, J. and Wemmert, C. and Gancarski, P.},
  title = {Mining spectral libraries to study sensors' discrimination ability},
  booktitle = {SPIE Europe Remote Sensing},
  year = {2009},
  volume = {7478},
  pages = {9p},
  url = {https://doi.org/10.1117/12.830392}
}
[59] Forestier, G., Wemmert, C. and Gancarski, P. (2008),
On Combining Unsupervised Classification and Ontology Knowledge,
In IEEE Geoscience and Remote Sensing Symposium (IGARSS). Boston, Massachusetts Vol. 4, pp. 395-398.
  BibTeX:
@inproceedings{Forestier2008CombiningUnsupervisedClassification,
  author = {Forestier, G. and Wemmert, C. and Gancarski, P.},
  title = {On Combining Unsupervised Classification and Ontology Knowledge},
  booktitle = {IEEE Geoscience and Remote Sensing Symposium (IGARSS)},
  year = {2008},
  volume = {4},
  pages = {395--398},
  url = {https://doi.org/10.1109/IGARSS.2008.4779741}
}
[60] Durand, N., Derivaux, S., Forestier, G., Wemmert, C., Gancarski, P., Boussaid, O. and Puissant, A. (2007),
Ontology-based Object Recognition for Remote Sensing Image Interpretation,
In IEEE International Conference on Tools with Artificial Intelligence (ICTAI). Patras, Greece Vol. 1, pp. 472-479.
  BibTeX:
@inproceedings{Durand2007OntologybasedObject,
  author = {Durand, N. and Derivaux, S. and Forestier, G. and Wemmert, C. and Gancarski, P. and Boussaid, O. and Puissant, A.},
  title = {Ontology-based Object Recognition for Remote Sensing Image Interpretation},
  booktitle = {IEEE International Conference on Tools with Artificial Intelligence (ICTAI)},
  year = {2007},
  volume = {1},
  pages = {472--479},
  url = {https://doi.org/10.1109/ICTAI.2007.111}
}

Communications to International Workshops

[1] Ismail-Fawaz, A., Devanne, M., Berretti, S., Weber, J. and Forestier, G. (2024),
Finding foundation models for time series classification with a pretext task,
In PAKDD Workshop on Temporal Analytics.
  BibTeX:
@inproceedings{Ismail-Fawaz2024Findingfoundationmodels,
  author = {Ismail-Fawaz, A. and Devanne, M. and Berretti, S. and Weber, J. and Forestier, G.},
  title = {Finding foundation models for time series classification with a pretext task},
  booktitle = {PAKDD Workshop on Temporal Analytics},
  year = {2024},
  url = {https://github.com/MSD-IRIMAS/DomainFoundationModelsTSC}
}
[2] Hibert, C., Rimpot, J., Retailleau, L., Saurel, J.-M., Malet, J.-P., Forestier, G., Weber, J., Stangeland, T.S., Turquet, A. and Pelleau, P. (2024),
Self-supervised learning for the exploration of continuous seismic records at the Fani Maoré submarine volcano (Mayotte),
In EGU General Assembly.
  BibTeX:
@inproceedings{Hibert2024Selfsupervisedlearning,
  author = {Hibert, C. and Rimpot, J. and Retailleau, L. and Saurel, J.-M. and Malet, J.-P. and Forestier, G. and Weber, J. and Stangeland, T. S. and Turquet, A. and Pelleau, P.},
  title = {Self-supervised learning for the exploration of continuous seismic records at the Fani Maoré submarine volcano (Mayotte)},
  booktitle = {EGU General Assembly},
  year = {2024},
  url = {https://doi.org/10.5194/egusphere-egu24-15278}
}
[3] Rimpot, J., Hibert, C., Malet, J.-P., Forestier, G. and Weber, J. (2024),
Self-Supervised Learning Strategies for Clustering Continuous Seismic Data,
In EGU General Assembly.
  BibTeX:
@inproceedings{Rimpot2024SelfSupervisedLearning,
  author = {Rimpot, J. and Hibert, C. and Malet, J.-P. and Forestier, G. and Weber, J.},
  title = {Self-Supervised Learning Strategies for Clustering Continuous Seismic Data},
  booktitle = {EGU General Assembly},
  year = {2024},
  url = {https://doi.org/10.5194/egusphere-egu24-15571}
}
[4] Ismayilzada, E., Devanne, M., Weber, J. and Forestier, G. (2023),
Time Series Extrinsic Regression for Physical Rehabilitation Assessment,
In Upper Rhine Artificial Intelligence Symposium (URAI). Mulhouse, France
  BibTeX:
@inproceedings{Ismayilzada2023TimeSeriesExtrinsic,
  author = {Ismayilzada, E. and Devanne, M. and Weber, J. and Forestier, G.},
  title = {Time Series Extrinsic Regression for Physical Rehabilitation Assessment},
  booktitle = {Upper Rhine Artificial Intelligence Symposium (URAI)},
  year = {2023}
}
[5] Ismail-Fawaz, A., Devanne, M., Berretti, S., Weber, J. and Forestier, G. (2023),
Reducing Complexity of Deep Learning for Time Series Classification Using New Hand-Crafted Convolution Filters,
In Upper Rhine Artificial Intelligence Symposium (URAI). Mulhouse, France
  BibTeX:
@inproceedings{Ismail-Fawaz2023ReducingComplexityDeep,
  author = {Ismail-Fawaz, A. and Devanne, M. and Berretti, S. and Weber, J. and Forestier, G.},
  title = {Reducing Complexity of Deep Learning for Time Series Classification Using New Hand-Crafted Convolution Filters},
  booktitle = {Upper Rhine Artificial Intelligence Symposium (URAI)},
  year = {2023}
}
[6] Abdullayev, J., Devanne, M., Weber, J. and Forestier, G. (2023),
Knowledge Distillation for Robotics Time Series Classification,
In Upper Rhine Artificial Intelligence Symposium (URAI).
  BibTeX:
@inproceedings{Abdullayev2023KnowledgeDistillationRobotics,
  author = {Abdullayev, J. and Devanne, M. and Weber, J. and Forestier, G.},
  title = {Knowledge Distillation for Robotics Time Series Classification},
  booktitle = {Upper Rhine Artificial Intelligence Symposium (URAI)},
  year = {2023}
}
[7] Ismail-Fawaz, A., Ismail Fawaz, H., Petitjean, F., Devanne, M., Weber, J., Berretti, S., Webb, G. and Forestier, G. (2023),
ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging,
In ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data. Torino, Italy
  BibTeX:
@inproceedings{Ismail-Fawaz2023ShapeDBAGeneratingEffective,
  author = {Ismail-Fawaz, A. and Ismail Fawaz, H. and Petitjean, F. and Devanne, M. and Weber, J. and Berretti, S. and Webb, G. and Forestier, G.},
  title = {ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging},
  booktitle = {ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data},
  year = {2023},
  url = {https://doi.org/10.1007/978-3-031-49896-1_9}
}
[8] Rimpot, J., Hibert, C., Malet, J.-P., Forestier, G. and Weber, J. (2023),
Towards a generic clustering approach for building seismic catalogues from dense sensor networks,
In EGU General Assembly.
  BibTeX:
@inproceedings{Rimpot2023Towardsgenericclustering,
  author = {Rimpot, J. and Hibert, C. and Malet, J-P. and Forestier, G. and Weber, J.},
  title = {Towards a generic clustering approach for building seismic catalogues from dense sensor networks},
  booktitle = {EGU General Assembly},
  year = {2023},
  url = {https://doi.org/10.5194/egusphere-egu23-7136}
}
[9] Pialla, G., Devanne, M., Weber, J., Idoumghar, L. and Forestier, G. (2022),
Data Augmentation for Time Series Classification with Deep Learning models,
In ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data. Grenoble, France
  BibTeX:
@inproceedings{Pialla2022DataAugmentationTime,
  author = {Pialla, G. and Devanne, M. and Weber, J. and Idoumghar, L. and Forestier, G.},
  title = {Data Augmentation for Time Series Classification with Deep Learning models},
  booktitle = {ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data},
  year = {2022},
  url = {https://doi.org/10.1007/978-3-031-24378-3_8}
}
[10] Lafabregue, B., Gançarski, P., Weber, J. and Forestier, G. (2022),
Incremental constrained clustering with application to remote sensing images time series,
In ICDM Workshop on Incremental Classification and Clustering, Concept Drift, Novelty Detection, Active Learning in Big/Fast data Context (IncrLearn). Orlando, USA
  BibTeX:
@inproceedings{Lafabregue2022Incrementalconstrainedclustering,
  author = {Lafabregue, B. and Gançarski, P and Weber, J. and Forestier, G.},
  title = {Incremental constrained clustering with application to remote sensing images time series},
  booktitle = {ICDM Workshop on Incremental Classification and Clustering, Concept Drift, Novelty Detection, Active Learning in Big/Fast data Context (IncrLearn)},
  year = {2022},
  url = {https://doi.org/10.1109/ICDMW58026.2022.00110}
}
[11] Heckenhauer, R., Weber, J., Wemmert, C., Hassenforder, M., Muller, P.-A. and Forestier, G. (2022),
Breast cancer classification methods for augmented reality microscopes,
In Upper Rhine Artificial Intelligence Symposium (URAI). Furtwagen, Germany
  BibTeX:
@inproceedings{Heckenhauer2022Breastcancerclassification,
  author = {Heckenhauer, R. and Weber, J. and Wemmert, C. and Hassenforder, M. and Muller, P-A and Forestier, G.},
  title = {Breast cancer classification methods for augmented reality microscopes},
  booktitle = {Upper Rhine Artificial Intelligence Symposium (URAI)},
  year = {2022}
}
[12] Lafabregue, B., Weber, J., Gançarski, P. and Forestier, G. (2019),
Deep constrained clustering applied to remote sensing time series,
In ECML/PKDD Workshop on Machine Learning for Earth Observation Data. Würzburg, Germany
  BibTeX:
@inproceedings{Lafabregue2019Deepconstrainedclustering,
  author = {Lafabregue, B. and Weber, J. and Gançarski, P. and Forestier, G.},
  title = {Deep constrained clustering applied to remote sensing time series},
  booktitle = {ECML/PKDD Workshop on Machine Learning for Earth Observation Data},
  year = {2019}
}
[13] Schaadt, N.S., Grote, A., Forestier, G., Wemmert, C. and Feuerhake, F. (2018),
Role of Task Complexity and Training in Crowdsourced Image Annotation,
In MICCAI Workshop on Computational Pathology. Granada, Spain Vol. 11039, pp. 44-51.
  BibTeX:
@inproceedings{Schaadt2018RoleTaskComplexity,
  author = {Schaadt, N. S. and Grote, A. and Forestier, G. and Wemmert, C. and Feuerhake, F.},
  title = {Role of Task Complexity and Training in Crowdsourced Image Annotation},
  booktitle = {MICCAI Workshop on Computational Pathology},
  year = {2018},
  volume = {11039},
  pages = {44--51},
  url = {https://doi.org/10.1007/978-3-030-00949-6_6}
}
[14] Ismail Fawaz, H., Forestier, G., Weber, J., Idoumghar, L. and Muller, P.-A. (2018),
Data augmentation using synthetic data for time series classification with deep residual networks,
In ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data. Dublin, Ireland
  BibTeX:
@inproceedings{IsmailFawaz2018Dataaugmentationusing,
  author = {Ismail Fawaz, Hassan and Forestier, Germain and Weber, Jonathan and Idoumghar, Lhassane and Muller, Pierre-Alain},
  title = {Data augmentation using synthetic data for time series classification with deep residual networks},
  booktitle = {ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data},
  year = {2018}
}
[15] Luu, V., Forestier, G., Fondement, F. and Muller, P. (2015),
Web site audience segmentation using hybrid alignment techniques,
In PAKDD Workshop on Pattern Mining and Application of Big Data. Ho Chi Minh City, Vietnam Vol. 9441, pp. 29-40. Springer.
  BibTeX:
@inproceedings{Luu2015Websiteaudience,
  author = {Luu, VT. and Forestier, G. and Fondement, F. and Muller, PA.},
  title = {Web site audience segmentation using hybrid alignment techniques},
  booktitle = {PAKDD Workshop on Pattern Mining and Application of Big Data},
  publisher = {Springer},
  year = {2015},
  volume = {9441},
  pages = {29--40},
  url = {http://dx.doi.org/10.1007/978-3-319-25660-3_3}
}
[16] Cao, Z., Wang, S., Forestier, G., Puissant, A. and Eick, C.F. (2013),
Analyzing the Composition of Cities Using Spatial Clustering,
In ACM SIGKDD International Workshop on Urban Computing (UrbComp). Chicago, Illinois
  BibTeX:
@inproceedings{Cao2013AnalyzingCompositionCities,
  author = {Cao, Z. and Wang, S. and Forestier, G. and Puissant, A. and Eick, C. F.},
  title = {Analyzing the Composition of Cities Using Spatial Clustering},
  booktitle = {ACM SIGKDD International Workshop on Urban Computing (UrbComp)},
  year = {2013},
  url = {https://doi.org/10.1145/2505821.2505827}
}
[17] Forestier, G., Lalys, F., Riffaud, L., Trelhu, B. and Jannin, P. (2011),
Assessment of surgical skills using Surgical Processes and Dynamic Time Warping,
In MICCAI Workshop on Modelling and Monitoring of Computer-Assisted Intervention. Toronto, Canada
  BibTeX:
@inproceedings{Forestier2011Assessmentsurgicalskills,
  author = {Forestier, G. and Lalys, F. and Riffaud, L. and Trelhu, B. and Jannin, P.},
  title = {Assessment of surgical skills using Surgical Processes and Dynamic Time Warping},
  booktitle = {MICCAI Workshop on Modelling and Monitoring of Computer-Assisted Intervention},
  year = {2011}
}
[18] Forestier, G., Wemmert, C., Gancarski, P. and Inglada, J. (2009),
Mining Multiple Satellite Sensor Data Using Collaborative Clustering,
In ICDM Workshop on Mining Multiple Information Sources. Miami, Florida , pp. 501-506.
  BibTeX:
@inproceedings{Forestier2009MiningMultipleSatellite,
  author = {Forestier, G. and Wemmert, C. and Gancarski, P. and Inglada, J.},
  title = {Mining Multiple Satellite Sensor Data Using Collaborative Clustering},
  booktitle = {ICDM Workshop on Mining Multiple Information Sources},
  year = {2009},
  pages = {501--506},
  url = {https://doi.org/10.1109/ICDMW.2009.42}
}
[19] Forestier, G., Derivaux, S., Wemmert, C. and Gancarski, P. (2008),
An Evolutionary Approach for Ontology Driven Image Interpretation,
In European Workshop on Evolutionary Computation in Image Analysis and Signal Processing. Napoli, Italy Vol. 4974, pp. 295-304. Springer.
  BibTeX:
@inproceedings{Forestier2008EvolutionaryApproachOntology,
  author = {Forestier, G. and Derivaux, S. and Wemmert, C. and Gancarski, P.},
  title = {An Evolutionary Approach for Ontology Driven Image Interpretation},
  booktitle = {European Workshop on Evolutionary Computation in Image Analysis and Signal Processing},
  publisher = {Springer},
  year = {2008},
  volume = {4974},
  pages = {295--304},
  url = {https://doi.org/10.1007/978-3-540-78761-7_30}
}
[20] Forestier, G., Wemmert, C. and Gancarski, P. (2008),
Semi-supervised collaborative clustering with partial background knowledge,
In ICDM Workshop on Mining Complex Data. Pisa, Italy , pp. 211-217.
  BibTeX:
@inproceedings{Forestier2008Semisupervisedcollaborative,
  author = {Forestier, G. and Wemmert, C. and Gancarski, P.},
  title = {Semi-supervised collaborative clustering with partial background knowledge},
  booktitle = {ICDM Workshop on Mining Complex Data},
  year = {2008},
  pages = {211--217},
  url = {https://doi.org/10.1109/ICDMW.2008.116}
}

Book Chapters

[1] Wemmert, C., Weber, J., Feuerhake, F. and Forestier, G. (2021),
Deep learning for histopathological image analysis,
In Deep Learning for Biomedical Data Analysis. , pp. 153-169.
  BibTeX:
@inproceedings{Wemmert2021Deeplearninghistopathological,
  author = {Wemmert, C. and Weber, J. and Feuerhake, F. and Forestier, G.},
  editor = {Elloumi M.},
  title = {Deep learning for histopathological image analysis},
  booktitle = {Deep Learning for Biomedical Data Analysis},
  year = {2021},
  pages = {153--169},
  url = {https://doi.org/10.1007/978-3-030-71676-9_7}
}
[2] Gancarski, P., Dao, T.-B.-H., Crémilleux, B., Forestier, G. and Lampert, T. (2020),
Constrained Clustering: Current and New Trends,
In A Guided Tour of AI Research. , pp. 447-484. Springer.
  BibTeX:
@inproceedings{Ganccarski2020ConstrainedClusteringCurrent,
  author = {Gancarski, P. and Dao, T-B-H. and Crémilleux, B. and Forestier, G. and Lampert, T.},
  title = {Constrained Clustering: Current and New Trends},
  booktitle = {A Guided Tour of AI Research},
  publisher = {Springer},
  year = {2020},
  pages = {447--484},
  url = {https://doi.org/10.1007/978-3-030-06167-8_14}
}
[3] Apou, G., Feuerhake, F., Forestier, G., Naegel, B. and Wemmert, C. (2015),
Efficient Region-based Classification for Whole Slide Images,
In Communications in Computer and Information Science. Vol. 550, pp. 239-256. Springer.
  BibTeX:
@inproceedings{Apou2015EfficientRegionbased,
  author = {Apou, G. and Feuerhake, F. and Forestier, G. and Naegel, B. and Wemmert, C.},
  title = {Efficient Region-based Classification for Whole Slide Images},
  booktitle = {Communications in Computer and Information Science},
  publisher = {Springer},
  year = {2015},
  volume = {550},
  pages = {239--256},
  url = {http://dx.doi.org/10.1007/978-3-319-25117-2_15}
}
[4] Wemmert, C., Forestier, G. and Derivaux, S. (2009),
Improving Supervised learning with Multiple Clusterings,
In Studies in Computational Intelligence. Vol. 245, pp. 135-148. Springer.
  BibTeX:
@inproceedings{Wemmert2009ImprovingSupervisedlearning,
  author = {Wemmert, C. and Forestier, G. and Derivaux, S.},
  title = {Improving Supervised learning with Multiple Clusterings},
  booktitle = {Studies in Computational Intelligence},
  publisher = {Springer},
  year = {2009},
  volume = {245},
  pages = {135--148}
}
[5] Forestier, G., Wemmert, C. and Gancarski, P. (2008),
Collaborative Multi-Strategical Clustering for Object-Oriented Image Analysis,
In Studies in Computational Intelligence. Vol. 126, pp. 71-88. Springer.
  BibTeX:
@inproceedings{Forestier2008CollaborativeMultiStrategical,
  author = {Forestier, G. and Wemmert, C. and Gancarski, P.},
  title = {Collaborative Multi-Strategical Clustering for Object-Oriented Image Analysis},
  booktitle = {Studies in Computational Intelligence},
  publisher = {Springer},
  year = {2008},
  volume = {126},
  pages = {71--88}
}

Research Articles in National Journals

[1] Kern, D. and Forestier, G. (2022),
Du projet DémoUHA (PIA4, AMI DémoES) à la stratégie numérique: réflexions critiques et pistes pour une transformation numérique responsable,
Distances et médiations des savoirs. Distance and Mediation of Knowledge. Vol. 38(38)
  BibTeX:
@article{Kern2022DuprojetDemoUHA,
  author = {Kern, D. and Forestier, G.},
  title = {Du projet DémoUHA (PIA4, AMI DémoES) à la stratégie numérique: réflexions critiques et pistes pour une transformation numérique responsable},
  journal = {Distances et médiations des savoirs. Distance and Mediation of Knowledge},
  year = {2022},
  volume = {38},
  number = {38},
  url = {https://doi.org/10.4000/dms.7990}
}
[2] Wemmert, C., Weber, J. and Forestier, G. (2020),
Intelligence artificielle et analyse d'images histologiques : Opportunités et challenges,
Revue française d'histotechnologie. Vol. 32(1), pp. 213-238.
  BibTeX:
@article{Wemmert2020Intelligenceartificielleet,
  author = {Wemmert, C. and Weber, J. and Forestier, G.},
  title = {Intelligence artificielle et analyse d'images histologiques : Opportunités et challenges},
  journal = {Revue française d'histotechnologie},
  year = {2020},
  volume = {32},
  number = {1},
  pages = {213--238},
  url = {https://doi.org/10.25830/afh.rfh.2020.32.213.238}
}
[3] Pelaccia, T., Forestier, G. and Wemmert, C. (2019),
Une intelligence artificielle raisonne-t-elle de la même façon que les cliniciens pour poser des diagnostics ?,
La Revue de Médecine Interne. Vol. 40, pp. A16-A19.
  BibTeX:
@article{Pelaccia2019Uneintelligenceartificielle,
  author = {Pelaccia, T. and Forestier, G. and Wemmert, C.},
  title = {Une intelligence artificielle raisonne-t-elle de la même façon que les cliniciens pour poser des diagnostics ?},
  journal = {La Revue de Médecine Interne},
  year = {2019},
  volume = {40},
  pages = {A16--A19},
  url = {https://doi.org/10.1016/j.revmed.2019.03.324}
}
[4] Mahfoudh, M., Forestier, G., Thiry, L. and Hassenforder, M. (2016),
Comment fusionner des ontologies avec la réécriture de graphes ?,
Technique et Science Informatiques. Vol. 35(1), pp. 31-53.
  BibTeX:
@article{Mahfoudh2016Commentfusionnerdes,
  author = {Mahfoudh, M. and Forestier, G. and Thiry, L. and Hassenforder, M.},
  title = {Comment fusionner des ontologies avec la réécriture de graphes ?},
  journal = {Technique et Science Informatiques},
  year = {2016},
  volume = {35},
  number = {1},
  pages = {31-53},
  url = {http://dx.doi.org/10.3166/tsi.35.31-53}
}
[5] Belarte, B., Wemmert, C., Forestier, G., Weber, C. and Grizonnet, M. (2014),
Apprentissage de règles floues pour caractériser des objets d'intérêt dans une image de télédétection,
Revue des Nouvelles Technologies de l'Information. (RNTI-E-27), pp. 23-42. Numéro spécial "Fouille de données complexes".
  BibTeX:
@article{Belarte2014Apprentissagederegles,
  author = {Belarte, B. and Wemmert, C. and Forestier, G. and Weber, C. and Grizonnet, M.},
  title = {Apprentissage de règles floues pour caractériser des objets d'intérêt dans une image de télédétection},
  journal = {Revue des Nouvelles Technologies de l'Information},
  publisher = {Numéro spécial "Fouille de données complexes"},
  year = {2014},
  number = {RNTI-E-27},
  pages = {23--42}
}
[6] Wemmert, C. and Forestier, G. (2011),
SLEMC : Apprentissage semi-supervisé enrichi par de multiples clusterings,
Revue des Nouvelles Technologies de l'Information. (RNTI-E-21), pp. 147-169. Numéro spécial "Fouille de données complexes : données multiples".
  BibTeX:
@article{Wemmert2011SLEMCApprentissage,
  author = {Wemmert, C. and Forestier, G.},
  title = {SLEMC : Apprentissage semi-supervisé enrichi par de multiples clusterings},
  journal = {Revue des Nouvelles Technologies de l'Information},
  publisher = {Numéro spécial "Fouille de données complexes : données multiples"},
  year = {2011},
  number = {RNTI-E-21},
  pages = {147--169}
}

Communications to National Conferences and Workshops (in French)

[1] Ismail-Fawaz, A., Devanne, M., Berretti, S., Weber, J. and Forestier, G. (2024),
LITE: Light Inception avec des Techniques de Boosting pour la Classification de Séries Temporelles,
In Journées Francophones Extraction et Gestion des Connaissances (EGC). Dijon, France
  BibTeX:
@inproceedings{Ismail-Fawaz2024LITELightInception,
  author = {Ismail-Fawaz, A. and Devanne, M. and Berretti, S. and Weber, J. and Forestier, G.},
  title = {LITE: Light Inception avec des Techniques de Boosting pour la Classification de Séries Temporelles},
  booktitle = {Journées Francophones Extraction et Gestion des Connaissances (EGC)},
  year = {2024}
}
[2] Ismail-Fawaz, A., Devanne, M., Weber, J. and Forestier, G. (2023),
Apprentissage en Profondeur pour la Classification des Séries Temporelles à l'aide de Nouveaux Filtres de Convolution Créés Manuellement,
In ORASIS. Carqueiranne, France
  BibTeX:
@inproceedings{Ismail-Fawaz2023ApprentissageenProfondeur,
  author = {Ismail-Fawaz, A. and Devanne, M. and Weber, J. and Forestier, G.},
  title = {Apprentissage en Profondeur pour la Classification des Séries Temporelles à l'aide de Nouveaux Filtres de Convolution Créés Manuellement},
  booktitle = {ORASIS},
  year = {2023}
}
[3] Heckenauer, R., Weber, J., Wemmert, C., Hassenforder, M., Muller, P.-A. and Forestier, G. (2022),
Méthodes de classification du cancer du sein pour les microscopes à réalité augmentée,
In Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP). Vannes, France
  BibTeX:
@inproceedings{Heckenauer2022Methodesdeclassification,
  author = {Heckenauer, R. and Weber, J. and Wemmert, C. and Hassenforder, M. and Muller,P-A. and Forestier, G.},
  title = {Méthodes de classification du cancer du sein pour les microscopes à réalité augmentée},
  booktitle = {Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP)},
  year = {2022}
}
[4] Pialla, G., Maxime, D., Weber, J., Idoumghar, L. and Forestier, G. (2022),
Génération d'attaques adverses lissées pour des classsifeurs de séries temporelles,
In Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP). Vannes, France
  BibTeX:
@inproceedings{Pialla2022Generationdattaquesadverses,
  author = {Pialla, G. and Maxime, D. and Weber, J. and Idoumghar, L. and Forestier, G.},
  title = {Génération d'attaques adverses lissées pour des classsifeurs de séries temporelles},
  booktitle = {Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP)},
  year = {2022}
}
[5] Heckenauer, R., Weber, J., Wemmert, C., Feuerhake, F., Hassenforder, M., Muller, P.-A. and Forestier, G. (2021),
Détection en temps réel des glomérules en pathologie rénale,
In ORASIS.
  BibTeX:
@inproceedings{Heckenauer2021Detectionentemps,
  author = {Heckenauer, R. and Weber, J. and Wemmert, C. and Feuerhake, F. and Hassenforder, M. and Muller, P-A. and Forestier, G.},
  title = {Détection en temps réel des glomérules en pathologie rénale},
  booktitle = {ORASIS},
  year = {2021}
}
[6] Rmouque, I., Weber, J., Devanne, M., Forestier, G. and Wemmert, C. (2021),
Segmentation non-supervisée d'images histopathologiques à l'aide d'auto-encodeurs et d'ensemble clustering,
In Apprentissage Profond: Théorie et Applications, Journées Francophones Extraction et Gestion des Connaissances (EGC). Montpellier, France
  BibTeX:
@inproceedings{Rmouque2021Segmentationnonsupervisee,
  author = {Rmouque, I. and Weber, J. and Devanne, M. and Forestier, G. and Wemmert, C.},
  title = {Segmentation non-supervisée d'images histopathologiques à l'aide d'auto-encodeurs et d'ensemble clustering},
  booktitle = {Apprentissage Profond: Théorie et Applications, Journées Francophones Extraction et Gestion des Connaissances (EGC)},
  year = {2021}
}
[7] Terefe, T., Devanne, M., Weber, J., Hailemariam, D. and Forestier, G. (2021),
Auto-encodeur multi-taches pour le calcul de moyennes de séries temporelles,
In Apprentissage Profond: Théorie et Applications, Journées Francophones Extraction et Gestion des Connaissances (EGC). Montpellier, France
  BibTeX:
@inproceedings{Terefe2021Autoencodeurmulti,
  author = {Terefe, T. and Devanne, M. and Weber, J. and Hailemariam, D. and Forestier, G.},
  title = {Auto-encodeur multi-taches pour le calcul de moyennes de séries temporelles},
  booktitle = {Apprentissage Profond: Théorie et Applications, Journées Francophones Extraction et Gestion des Connaissances (EGC)},
  year = {2021}
}
[8] Bendali-Braham, M., Weber, J., Forestier, G., Idoumghar, L. and Muller, P.-A. (2020),
Apprentissage par transfert pour la classification de séquences vidéo de mouvements de foule,
In Apprentissage Profond: Théorie et Applications, Journées Francophones Extraction et Gestion des Connaissances (EGC). Bruxelles, Belgique
  BibTeX:
@inproceedings{Bendali-Braham2020Apprentissagepartransfert,
  author = {Bendali-Braham, M. and Weber, J. and Forestier, G. and Idoumghar, L. and Muller, P-A.},
  title = {Apprentissage par transfert pour la classification de séquences vidéo de mouvements de foule},
  booktitle = {Apprentissage Profond: Théorie et Applications, Journées Francophones Extraction et Gestion des Connaissances (EGC)},
  year = {2020}
}
[9] Lafabregue, B., Weber, J., Gançarski, P. and Forestier, G. (2020),
Clustering contraint par apprentissage profond appliqué aux séries temporelles d'images satellites,
In Apprentissage Profond: Théorie et Applications, Journées Francophones Extraction et Gestion des Connaissances (EGC). Bruxelles, Belgique
  BibTeX:
@inproceedings{Lafabregue2020Clusteringcontraintpar,
  author = {Lafabregue, B. and Weber, J. and Gançarski, P. and Forestier, G.},
  title = {Clustering contraint par apprentissage profond appliqué aux séries temporelles d'images satellites},
  booktitle = {Apprentissage Profond: Théorie et Applications, Journées Francophones Extraction et Gestion des Connaissances (EGC)},
  year = {2020}
}
[10] Ismail Fawaz, H., Forestier, G., Weber, J., Idoumghar, L. and Muller, P.-A. (2019),
Augmentation de données pour la classification de séries temporelles par réseaux de neurones profonds résiduels,
In Journées Francophones Extraction et Gestion des Connaissances (EGC). Metz, France
  BibTeX:
@inproceedings{IsmailFawaz2019Augmentationdedonnees,
  author = {Ismail Fawaz, H. and Forestier, G. and Weber, J. and Idoumghar, L and Muller, P-A.},
  title = {Augmentation de données pour la classification de séries temporelles par réseaux de neurones profonds résiduels},
  booktitle = {Journées Francophones Extraction et Gestion des Connaissances (EGC)},
  year = {2019}
}
[11] Latard, B., Weber, J., Forestier, G. and Hassenforder, M. (2018),
Catégorisation d'articles scientifiques basée sur les relations sémantiques des mots-clés,
In Journées Francophones Extraction et Gestion des Connaissances (EGC). Paris, France
  BibTeX:
@inproceedings{Latard2018Categorisationdarticlesscientifiques,
  author = {Latard, B. and Weber, J. and Forestier, G. and Hassenforder, M.},
  title = {Catégorisation d'articles scientifiques basée sur les relations sémantiques des mots-clés},
  booktitle = {Journées Francophones Extraction et Gestion des Connaissances (EGC)},
  year = {2018}
}
[12] Mahfoudh, M., Thiry, L., Forestier, G. and Hassenforder, M. (2015),
Une nouvelle formalisation des changements ontologiques composés et complexes,
In Journées Francophones Extraction et Gestion des Connaissances (EGC). Luxembourg, Luxembourg , pp. 263-274.
  BibTeX:
@inproceedings{Mahfoudh2015Unenouvelleformalisation,
  author = {Mahfoudh, M. and Thiry, L. and Forestier, G. and Hassenforder, M.},
  title = {Une nouvelle formalisation des changements ontologiques composés et complexes},
  booktitle = {Journées Francophones Extraction et Gestion des Connaissances (EGC)},
  year = {2015},
  pages = {263--274}
}
[13] Mahfoudh, M., Forestier, G., Thiry, L. and Hassenforder, M. (2014),
Approche formelle de fusion d'ontologies à l'aide des grammaires de graphes typés,
In Journées Francophones Extraction et Gestion des Connaissances (EGC). Rennes, France , pp. 565-568.
  BibTeX:
@inproceedings{Mahfoudh2014Approcheformellede,
  author = {Mahfoudh, M. and Forestier, G. and Thiry, L. and Hassenforder, M.},
  title = {Approche formelle de fusion d'ontologies à l'aide des grammaires de graphes typés},
  booktitle = {Journées Francophones Extraction et Gestion des Connaissances (EGC)},
  year = {2014},
  pages = {565-568}
}
[14] Mahfoudh, M., Forestier, G., Thiry, L. and Hassenforder, M. (2014),
Comment fusionner des ontologies avec la réécriture de graphes ?,
In Journées Francophones sur les Ontologies (JFO). Hammamet, Tunisie
  BibTeX:
@inproceedings{Mahfoudh2014Commentfusionnerdes,
  author = {Mahfoudh, M. and Forestier, G. and Thiry, L. and Hassenforder, M.},
  title = {Comment fusionner des ontologies avec la réécriture de graphes ?},
  booktitle = {Journées Francophones sur les Ontologies (JFO)},
  year = {2014}
}
[15] Mahfoudh, M., Thiry, L., Forestier, G. and Hassenforder, M. (2013),
Adaptation consistante d'ontologies à l'aide des grammaires de graphes,
In Journées Francophones d'Ingénierie des Connaissances (IC).
  BibTeX:
@inproceedings{Mahfoudh2013Adaptationconsistantedontologies,
  author = {Mahfoudh, M. and Thiry, L. and Forestier, G. and Hassenforder, M.},
  title = {Adaptation consistante d'ontologies à l'aide des grammaires de graphes},
  booktitle = {Journées Francophones d'Ingénierie des Connaissances (IC)},
  year = {2013}
}
[16] Forestier, G., Lalys, F., Riffaud, L., Trelhu, B. and Jannin, P. (2012),
Clustering de séquences d'activités pour l'étude de procédures neurochirurgicales,
In Journées Francophones Extraction et Gestion des Connaissances (EGC). Bordeaux, France , pp. 489-494.
  BibTeX:
@inproceedings{Forestier2012Clusteringdesequences,
  author = {Forestier, G. and Lalys, F. and Riffaud, L. and Trelhu, B. and Jannin, P. },
  title = {Clustering de séquences d'activités pour l'étude de procédures neurochirurgicales},
  booktitle = {Journées Francophones Extraction et Gestion des Connaissances (EGC)},
  year = {2012},
  pages = {489--494}
}
[17] Forestier, G. (2011),
Clustering collaboratif : le challenge de regrouper conjointement,
In Rencontres de la Société Francophone de Classification (SFC). Orléans, France , pp. 157-160.
  BibTeX:
@inproceedings{Forestier2011Clusteringcollaboratif,
  author = {Forestier, G.},
  title = {Clustering collaboratif : le challenge de regrouper conjointement},
  booktitle = {Rencontres de la Société Francophone de Classification (SFC)},
  year = {2011},
  pages = {157--160}
}
[18] Forestier, G., Wemmert, C. and Gancarski, P. (2010),
Comparaison de critères de pureté pour l'intégration de connaissances en clustering semi-supervisé,
In Journées Francophones Extraction et Gestion des Connaissances (EGC). Hammamet, Tunisie , pp. 127-132.
  BibTeX:
@inproceedings{Forestier2010Comparaisondecriteres,
  author = {Forestier, G. and Wemmert, C. and Gancarski, P.},
  title = {Comparaison de critères de pureté pour l'intégration de connaissances en clustering semi-supervisé},
  booktitle = {Journées Francophones Extraction et Gestion des Connaissances (EGC)},
  year = {2010},
  pages = {127--132}
}
[19] Forestier, G., Wemmert, C. and Gancarski, P. (2010),
Etude de données multisources par simulation de capteurs et clustering collaboratif,
In Atelier Fouille de données complexes, Journées Francophones Extraction et Gestion des Connaissances (EGC). Hammamet, Tunisie , pp. A143-A152.
  BibTeX:
@inproceedings{Forestier2010Etudededonnees,
  author = {Forestier, G. and Wemmert, C. and Gancarski, P.},
  title = {Etude de données multisources par simulation de capteurs et clustering collaboratif},
  booktitle = {Atelier Fouille de données complexes, Journées Francophones Extraction et Gestion des Connaissances (EGC)},
  year = {2010},
  pages = {A143--A152}
}
[20] Derivaux, S., Forestier, G., Wemmert, C. and Lefevre, S. (2008),
Extraction de détecteurs d'objets urbains à partir d'une ontologie,
In Atelier Extraction de Connaissance à partir d'Images, Journées Francophones Extraction et Gestion des Connaissances (EGC). Sophia Antipolis, France , pp. 71-81.
  BibTeX:
@inproceedings{Derivaux2008Extractiondedetecteurs,
  author = {Derivaux, S. and Forestier, G. and Wemmert, C. and Lefevre, S.},
  title = {Extraction de détecteurs d'objets urbains à partir d'une ontologie},
  booktitle = {Atelier Extraction de Connaissance à partir d'Images, Journées Francophones Extraction et Gestion des Connaissances (EGC)},
  year = {2008},
  pages = {71--81}
}
[21] Forestier, G., Derivaux, S., Wemmert, C. and Gancarski, P. (2008),
Interprétation d'images basée sur une approche évolutive guidée par une ontologie,
In Journées Francophones Extraction et Gestion des Connaissances (EGC). Sophia Antipolis, France Vol. 2, pp. 469-474.
  BibTeX:
@inproceedings{Forestier2008Interpretationdimagesbasee,
  author = {Forestier, G. and Derivaux, S. and Wemmert, C. and Gancarski, P.},
  title = {Interprétation d'images basée sur une approche évolutive guidée par une ontologie},
  booktitle = {Journées Francophones Extraction et Gestion des Connaissances (EGC)},
  year = {2008},
  volume = {2},
  pages = {469--474}
}

Other communications

[1] Forestier, G. (2024),
Deep learning for time series classification,
In Journées Francophones Extraction et Gestion des Connaissances (EGC). Dijon, France, January, 2024.
  BibTeX:
@inproceedings{Forestier2024Deeplearningtime,
  author = {Forestier, G.},
  title = {Deep learning for time series classification},
  booktitle = {Journées Francophones Extraction et Gestion des Connaissances (EGC)},
  year = {2024},
  url = {https://iutdijon.u-bourgogne.fr/egc2024/conferenciers-invites/}
}
[2] Forestier, G. (2023),
Deep learning for time series classification,
In DUKE Seminar LS2N. Nantes, France
  BibTeX:
@inproceedings{,
  author = {Forestier, G.},
  title = {Deep learning for time series classification},
  booktitle = {DUKE Seminar LS2N},
  year = {2023}
}
[3] Forestier, G. (2019),
Deep Learning for Time Series Classification, and Applications in Surgical Data Science,
In Dagstuhl Seminar 19282 on Data Series Management. Dagstuhl, Germany, June, 2019.
  BibTeX:
@inproceedings{Forestier2019Deeplearningtime,
  author = {Forestier, G.},
  title = {Deep Learning for Time Series Classification, and Applications in Surgical Data Science},
  booktitle = {Dagstuhl Seminar 19282 on Data Series Management},
  year = {2019},
  url = {https://drops.dagstuhl.de/opus/volltexte/2019/11634/}
}
[4] Forestier, G. (2019),
Deep learning for time series classification,
In Laboratoire d'Informatique Paris Descartes (LIPADE). Paris, France, January, 2019.
  BibTeX:
@inproceedings{Forestier2018Deeplearningtimeb,
  author = {Forestier, G.},
  title = {Deep learning for time series classification},
  booktitle = {Laboratoire d'Informatique Paris Descartes (LIPADE)},
  year = {2019}
}
[5] Forestier, G. (2018),
Deep learning for time series classification,
In ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, Invited Talk. Dublin, Ireland, September, 2018.
  BibTeX:
@inproceedings{Forestier2018Deeplearningtime,
  author = {Forestier, G.},
  title = {Deep learning for time series classification},
  booktitle = {ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, Invited Talk},
  year = {2018}
}
[6] Forestier, G. (2018),
Deep learning for time series classification,
In Monash University. Melbourne, Australia, November, 2018.
  BibTeX:
@inproceedings{Forestier2018Deeplearningtimea,
  author = {Forestier, G.},
  title = {Deep learning for time series classification},
  booktitle = {Monash University},
  year = {2018}
}
[7] Forestier, G. (2016),
Analysis and classification of temporal data,
In Monash University. Melbourne, Australia, November, 2016.
  BibTeX:
@inproceedings{Forestier2016Analysisandclassification,
  author = {Forestier, G.},
  title = {Analysis and classification of temporal data},
  booktitle = {Monash University},
  year = {2016}
}
[8] Forestier, G. (2015),
Automatic analysis of Whole Slide Images in digital pathology,
In Stanford University, School of Medicine, Invited seminar speaker. Stanford, CA, July, 2015.
  BibTeX:
@inproceedings{Forestier2015AutomaticanalysisWhole,
  author = {Forestier, G.},
  title = {Automatic analysis of Whole Slide Images in digital pathology},
  booktitle = {Stanford University, School of Medicine, Invited seminar speaker},
  year = {2015}
}
[9] Eick, C., Forestier, G., Cao, Z., Wang, S. and Goyal, S. (2012),
A Methodology for Finding Uniform Regions in Spatial Data and its Application to Characterizing the Composition of Cities,
In International Conference on Space, Time, and CyberGIS. Illinois, USA
  BibTeX:
@inproceedings{Eick2012MethodologyFindingUniform,
  author = {Eick, C. and Forestier, G. and Cao, Z. and Wang, S. and Goyal, S.},
  title = {A Methodology for Finding Uniform Regions in Spatial Data and its Application to Characterizing the Composition of Cities},
  booktitle = {International Conference on Space, Time, and CyberGIS},
  year = {2012}
}
[10] Favre, C., Wemmert, C. and Forestier, G. (2012),
Que peut apporter l'OLAP à la fouille d'images de télédétection ?.,
In Journée Fouille et Visualisation de Données Massives. Tours, France
  BibTeX:
@inproceedings{Favre2012Quepeutapporter,
  author = {Favre, C. and Wemmert, C. and Forestier, G.},
  title = {Que peut apporter l'OLAP à la fouille d'images de télédétection ?.},
  booktitle = {Journée Fouille et Visualisation de Données Massives},
  year = {2012}
}
[11] Gibaud, B. and Forestier, G. (2012),
Sharing models for multi-modality medical image simulation in VIP,
In Virtual Imaging Platform - Launching Workshop. Lyon, France, December, 2012.
  BibTeX:
@inproceedings{Gibaud2012Sharingmodelsmulti,
  author = {Gibaud, B. and Forestier, G.},
  title = {Sharing models for multi-modality medical image simulation in VIP},
  booktitle = {Virtual Imaging Platform - Launching Workshop},
  year = {2012}
}
[12] Forestier, G. (2011),
Analyse de séquences d'activités pour l'étude de procédures neurochirurgicales,
In Journée GT-EGC Fouille de Donnés Complexes et de Grands Graphes. Paris, France
  BibTeX:
@inproceedings{Forestier2011Analysedesequences,
  author = {Forestier, G.},
  title = {Analyse de séquences d'activités pour l'étude de procédures neurochirurgicales},
  booktitle = {Journée GT-EGC Fouille de Donnés Complexes et de Grands Graphes},
  year = {2011}
}
[13] Gibaud, B. and Forestier, G. (2011),
Ontologies for the expression of model semantics for image simulation,
In Industry Workshop: Foundations for Biomedical Data and Model Interoperability. Cambridge, UK, March, 2011.
  BibTeX:
@inproceedings{Gibaud2011Ontologiesexpressionmodel,
  author = {Gibaud, B. and Forestier, G.},
  title = {Ontologies for the expression of model semantics for image simulation},
  booktitle = {Industry Workshop: Foundations for Biomedical Data and Model Interoperability},
  year = {2011}
}
[14] Gibaud, B. and Forestier, G. (2011),
Ontologies pour l'expression de la sémantique des modèles pour la simulation des images,,
In Journée GDR CNRS-Inserm STIC-Santé, Partage de modèles d'objets anatomiques et physiologiques pour la simulation d'images médicales cliniques. Paris, France, January, 2011.
  BibTeX:
@inproceedings{Gibaud2011Ontologiespourlexpression,
  author = {Gibaud, B. and Forestier, G.},
  title = {Ontologies pour l'expression de la sémantique des modèles pour la simulation des images,},
  booktitle = {Journée GDR CNRS-Inserm STIC-Santé, Partage de modèles d'objets anatomiques et physiologiques pour la simulation d'images médicales cliniques},
  year = {2011}
}
[15] Forestier, G. (2010),
Comparison of different conflict resolution strategies in collaborative clustering,
In Journée GT-EGC Fouille de Donnés Complexes sur le thème Complexité lié aux donnés multiples. Paris, France, June, 2010.
  BibTeX:
@inproceedings{Forestier2010Comparisondifferentconflict,
  author = {Forestier, G.},
  title = {Comparison of different conflict resolution strategies in collaborative clustering},
  booktitle = {Journée GT-EGC Fouille de Donnés Complexes sur le thème Complexité lié aux donnés multiples},
  year = {2010}
}
[16] Petitjean, F., Gancarski, G., Masseglia, F. and Forestier, G. (2010),
Analysing Satellite Image Time Series by means of Pattern Mining,
In Journées GDR I3/SIGMA-CASSINI Informations Géographiques et Observation de la Terre. Montpellier, France, November, 2010.
  BibTeX:
@inproceedings{Petitjean2010AnalysingSatelliteImage,
  author = {Petitjean, F. and Gancarski, G. and Masseglia, F. and Forestier, G.},
  title = {Analysing Satellite Image Time Series by means of Pattern Mining},
  booktitle = {Journées GDR I3/SIGMA-CASSINI Informations Géographiques et Observation de la Terre},
  year = {2010}
}
[17] Forestier, G. (2009),
Apports de la simulation de capteurs pour l'analyse et le clustering collaboratif de librairies spectrales,
In Journées GDR I3/SIGMA-CASSINI Informations Géographiques et Observation de la Terre. Toulouse, France, November, 2009.
  BibTeX:
@inproceedings{Forestier2009Apportsdela,
  author = {Forestier, G.},
  title = {Apports de la simulation de capteurs pour l'analyse et le clustering collaboratif de librairies spectrales},
  booktitle = {Journées GDR I3/SIGMA-CASSINI Informations Géographiques et Observation de la Terre},
  year = {2009}
}
[18] Forestier, G. (2009),
Classification collaborative de donnés multisources pour l'analyse d'images de télédétection,
In Journée GT-EGC Fouille de Donnés Complexes sur le thème Complexité lié aux donnés multiples. Paris, France, June, 2009.
  BibTeX:
@inproceedings{Forestier2009Classificationcollaborativede,
  author = {Forestier, G.},
  title = {Classification collaborative de donnés multisources pour l'analyse d'images de télédétection},
  booktitle = {Journée GT-EGC Fouille de Donnés Complexes sur le thème Complexité lié aux donnés multiples},
  year = {2009}
}
[19] Forestier, G. (2009),
Collaborative clustering : introduction, knowledge integration and applications,
In University of Houston (UH) Department of Computer Science, Invited seminar speaker. Houston, Texas, December, 2009.
  BibTeX:
@inproceedings{Forestier2009Collaborativeclustering,
  author = {Forestier, G.},
  title = {Collaborative clustering : introduction, knowledge integration and applications},
  booktitle = {University of Houston (UH) Department of Computer Science, Invited seminar speaker},
  year = {2009}
}
[20] Puissant, A. and Forestier, G. (2007),
Use of knowledge in a classification process to extract urban objects,
In Journées GDR I3/SIGMA-CASSINI Informations Géographiques et Observation de la Terre. Strasbourg, France, November, 2007.
  BibTeX:
@inproceedings{Puissant2007Useknowledgein,
  author = {Puissant, A. and Forestier, G.},
  title = {Use of knowledge in a classification process to extract urban objects},
  booktitle = {Journées GDR I3/SIGMA-CASSINI Informations Géographiques et Observation de la Terre},
  year = {2007}
}