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Germain Forestier
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- affiliation: Université de Haute Alsace, France
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2020 – today
- 2024
- [j45]Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, Geoffrey I. Webb, Germain Forestier, Mahsa Salehi:
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey. ACM Comput. Surv. 56(9): 217:1-217:45 (2024) - [j44]Tsegamlak Terefe Debella, Maxime Devanne, Jonathan Weber, Dereje Hailemariam Woldegebreal, Germain Forestier:
Correction: Estimating time series averages from latent space of multi-tasking neural networks. Knowl. Inf. Syst. 66(2): 1521 (2024) - [c77]Germain Forestier:
Apprentissage profond pour la classification de séries temporelles. EGC 2024: 3-4 - [c76]Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier:
LITE: Light Inception avec des Techniques de Boosting pour la Classification de Séries Temporelles. EGC 2024: 377-384 - [c75]Romain Wenger, Clément Bressant, Lucie Roettele, Germain Forestier, Anne Puissant:
Improving Urban Tree Species Classification with High Resolution Satellite Imagery and Machine Learning. IGARSS 2024: 4679-4682 - [c74]Anthony J. Bagnall, Matthew Middlehurst, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume, David Guijo-Rubio, Chang Wei Tan, Angus Dempster, Geoffrey I. Webb:
A Hands-on Introduction to Time Series Classification and Regression. KDD 2024: 6410-6411 - [c73]Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier:
Finding Foundation Models for Time Series Classification with a PreText Task. PAKDD (Workshops) 2024: 123-135 - [i23]Claudia Ehrig, Catherine Cleophas, Germain Forestier:
The impact of data set similarity and diversity on transfer learning success in time series forecasting. CoRR abs/2404.06198 (2024) - [i22]Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier:
Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of Metrics. CoRR abs/2405.07680 (2024) - [i21]Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier:
Look Into the LITE in Deep Learning for Time Series Classification. CoRR abs/2409.02869 (2024) - 2023
- [j43]Tsegamlak Terefe, Maxime Devanne, Jonathan Weber, Dereje Hailemariam, Germain Forestier:
Estimating time series averages from latent space of multi-tasking neural networks. Knowl. Inf. Syst. 65(11): 4967-5004 (2023) - [j42]Romain Wenger, Anne Puissant, Jonathan Weber, Lhassane Idoumghar, Germain Forestier:
Multimodal and Multitemporal Land Use/Land Cover Semantic Segmentation on Sentinel-1 and Sentinel-2 Imagery: An Application on a MultiSenGE Dataset. Remote. Sens. 15(1): 151 (2023) - [c72]Ali Ismail-Fawaz, Hassan Ismail Fawaz, François Petitjean, Maxime Devanne, Jonathan Weber, Stefano Berretti, Geoffrey I. Webb, Germain Forestier:
ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging. AALTD@ECML/PKDD 2023: 127-142 - [c71]Robin Heckenauer, Jonathan Weber, Cédric Wemmert, Caroline Truntzer, Valentin Derangère, François Ghiringhelli, Michel Hassenforder, Pierre-Alain Muller, Germain Forestier:
Comparison of deep learning architectures for colon cancer mutation detection. CBMS 2023: 360-365 - [c70]Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier:
LITE: Light Inception with boosTing tEchniques for Time Series Classification. DSAA 2023: 1-10 - [c69]Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, Germain Forestier:
Enhancing Time Series Classification with Self-Supervised Learning. ICAART (3) 2023: 40-47 - [c68]Romain Wenger, Anne Puissant, Jonathan Weber, Lhassane Idoumghar, Germain Forestier:
Exploring inference of a land use and land cover model trained on MultiSenGE dataset. JURSE 2023: 1-4 - [i20]Seyed Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, Geoffrey I. Webb, Germain Forestier, Mahsa Salehi:
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey. CoRR abs/2302.02515 (2023) - [i19]Ali Ismail-Fawaz, Angus Dempster, Chang Wei Tan, Matthieu Herrmann, Lynn Miller, Daniel F. Schmidt, Stefano Berretti, Jonathan Weber, Maxime Devanne, Germain Forestier, Geoffrey I. Webb:
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set. CoRR abs/2305.11921 (2023) - [i18]Ali Ismail-Fawaz, Hassan Ismail Fawaz, François Petitjean, Maxime Devanne, Jonathan Weber, Stefano Berretti, Geoffrey I. Webb, Germain Forestier:
ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging. CoRR abs/2309.16353 (2023) - [i17]Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier:
Finding Foundation Models for Time Series Classification with a PreText Task. CoRR abs/2311.14534 (2023) - 2022
- [j41]Amina Ben Hamida, Maxime Devanne, Jonathan Weber, Caroline Truntzer, Valentin Derangère, François Ghiringhelli, Germain Forestier, Cédric Wemmert:
Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation. Artif. Intell. Medicine 133: 102407 (2022) - [j40]Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier:
End-to-end deep representation learning for time series clustering: a comparative study. Data Min. Knowl. Discov. 36(1): 29-81 (2022) - [j39]Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, Keno März, Toby Collins, Anand Malpani, Johannes Fallert, Hubertus Feussner, Stamatia Giannarou, Pietro Mascagni, Hirenkumar Nakawala, Adrian Park, Carla M. Pugh, Danail Stoyanov, S. Swaroop Vedula, Kevin Cleary, Gabor Fichtinger, Germain Forestier, Bernard Gibaud, Teodor P. Grantcharov, Makoto Hashizume, Doreen Heckmann-Nötzel, Hannes Götz Kenngott, Ron Kikinis, Lars Mündermann, Nassir Navab, Sinan Onogur, Tobias Roß, Raphael Sznitman, Russell H. Taylor, Minu Dietlinde Tizabi, Martin Wagner, Gregory D. Hager, Thomas Neumuth, Nicolas Padoy, Justin Collins, Ines Gockel, Jan Goedeke, Daniel A. Hashimoto, Luc Joyeux, Kyle Lam, Daniel Richard Leff, Amin Madani, Hani J. Marcus, Ozanan R. Meireles, Alexander Seitel, Dogu Teber, Frank Ückert, Beat P. Müller-Stich, Pierre Jannin, Stefanie Speidel:
Surgical data science - from concepts toward clinical translation. Medical Image Anal. 76: 102306 (2022) - [c67]Gautier Pialla, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Germain Forestier:
Data Augmentation for Time Series Classification with Deep Learning Models. AALTD@ECML/PKDD 2022: 117-132 - [c66]Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, Germain Forestier:
Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters. IEEE Big Data 2022: 972-981 - [c65]Baptiste Lafabregue, Pierre Gançarski, Jonathan Weber, Germain Forestier:
Incremental constrained clustering with application to remote sensing images time series. ICDM (Workshops) 2022: 814-823 - [c64]Baptiste Lafabregue, Anne Puissant, Jonathan Weber, Germain Forestier:
Deep Clustering Methods Study Applied to Satellite Images Time Series. IGARSS 2022: 195-198 - [c63]Emel Ay, Maxime Devanne, Jonathan Weber, Germain Forestier:
A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification. IJCNN 2022: 1-8 - [c62]Ameni Chamekh, Mariem Mahfoudh, Germain Forestier:
Sentiment Analysis Based on Deep Learning in E-Commerce. KSEM (2) 2022: 498-507 - [c61]Hadhami Mejbri, Mariem Mahfoudh, Germain Forestier:
Deep Learning-Based Sentiment Analysis for Predicting Financial Movements. KSEM (2) 2022: 586-596 - [c60]Gautier Pialla, Hassan Ismail Fawaz, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Christoph Bergmeir, Daniel F. Schmidt, Geoffrey I. Webb, Germain Forestier:
Smooth Perturbations for Time Series Adversarial Attacks. PAKDD (1) 2022: 485-496 - [c59]Ilias Rmouque, Maxime Devanne, Jonathan Weber, Germain Forestier, Cédric Wemmert:
Ensemble Clustering for Histopathological Images Segmentation using Convolutional Autoencoders. VISIGRAPP (4: VISAPP) 2022: 933-940 - 2021
- [j38]Amina Ben Hamida, Maxime Devanne, Jonathan Weber, Caroline Truntzer, Valentin Derangère, François Ghiringhelli, Germain Forestier, Cédric Wemmert:
Deep learning for colon cancer histopathological images analysis. Comput. Biol. Medicine 136: 104730 (2021) - [j37]Odyssée Merveille, Thomas Andrew Lampert, Jessica Schmitz, Germain Forestier, Friedrich Feuerhake, Cédric Wemmert:
An automatic framework for fusing information from differently stained consecutive digital whole slide images: A case study in renal histology. Comput. Methods Programs Biomed. 208: 106157 (2021) - [c58]Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier:
Grad Centroid Activation Mapping for Convolutional Neural Networks. ICTAI 2021: 184-191 - [c57]Mounir Bendali-Braham, Jonathan Weber, Germain Forestier, Lhassane Idoumghar, Pierre-Alain Muller:
Ensemble classification of video-recorded crowd movements. ISPA 2021: 152-158 - 2020
- [j36]Vinh-Trung Luu, Germain Forestier, Jonathan Weber, Paul Bourgeois, Fahima Djelil, Pierre-Alain Muller:
A review of alignment based similarity measures for web usage mining. Artif. Intell. Rev. 53(3): 1529-1551 (2020) - [j35]Hassan Ismail Fawaz, Benjamin Lucas, Germain Forestier, Charlotte Pelletier, Daniel F. Schmidt, Jonathan Weber, Geoffrey I. Webb, Lhassane Idoumghar, Pierre-Alain Muller, François Petitjean:
InceptionTime: Finding AlexNet for time series classification. Data Min. Knowl. Discov. 34(6): 1936-1962 (2020) - [j34]Nadine S. Schaadt, Ralf Schönmeyer, Germain Forestier, Nicolas Brieu, Peter Braubach, Katharina Nekolla, Michael Meyer-Hermann, Friedrich Feuerhake:
Graph-based description of tertiary lymphoid organs at single-cell level. PLoS Comput. Biol. 16(2) (2020) - [c56]Robin Heckenauer, Jonathan Weber, Cédric Wemmert, Friedrich Feuerhake, Michel Hassenforder, Pierre-Alain Muller, Germain Forestier:
Real-Time Detection of Glomeruli in Renal Pathology. CBMS 2020: 350-355 - [c55]Hojjat Rakhshani, Bastien Latard, Mathieu Brévilliers, Jonathan Weber, Julien Lepagnot, Germain Forestier, Michel Hassenforder, Lhassane Idoumghar:
Automated Machine Learning for Information Retrieval in Scientific Articles. CEC 2020: 1-7 - [c54]Nolwenn Bernard, Jonathan Weber, Germain Forestier, Michel Hassenforder, Bastien Latard:
Knowledge-Based Categorization of Scientific Articles for Similarity Predictions. TPDL 2020: 147-160 - [c53]Tsegamlak Terefe, Maxime Devanne, Jonathan Weber, Dereje Hailemariam, Germain Forestier:
Time Series Averaging Using Multi-Tasking Autoencoder. ICTAI 2020: 1065-1072 - [c52]Hojjat Rakhshani, Hassan Ismail Fawaz, Lhassane Idoumghar, Germain Forestier, Julien Lepagnot, Jonathan Weber, Mathieu Brévilliers, Pierre-Alain Muller:
Neural Architecture Search for Time Series Classification. IJCNN 2020: 1-8 - [p4]Pierre Gançarski, Thi-Bich-Hanh Dao, Bruno Crémilleux, Germain Forestier, Thomas Andrew Lampert:
Constrained Clustering: Current and New Trends. A Guided Tour of Artificial Intelligence Research (2) (II) 2020: 447-484 - [i16]Odyssée Merveille, Thomas Andrew Lampert, Jessica Schmitz, Germain Forestier, Friedrich Feuerhake, Cédric Wemmert:
An automatic framework to study the tissue micro-environment of renal glomeruli in differently stained consecutive digital whole slide images. CoRR abs/2008.13050 (2020) - [i15]Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, Keno März, Toby Collins, Anand Malpani, Johannes Fallert, Hubertus Feussner, Stamatia Giannarou, Pietro Mascagni, Hirenkumar Nakawala, Adrian Park, Carla M. Pugh, Danail Stoyanov, S. Swaroop Vedula, Beat Peter Müller-Stich, Kevin Cleary, Gabor Fichtinger, Germain Forestier, Bernard Gibaud, Teodor P. Grantcharov, Makoto Hashizume, Hannes Kenngott, Ron Kikinis, Lars Mündermann, Nassir Navab, Sinan Onogur, Raphael Sznitman, Russell H. Taylor, Minu Dietlinde Tizabi, Martin Wagner, Gregory D. Hager, Thomas Neumuth, Nicolas Padoy, Pierre Jannin, Stefanie Speidel:
Surgical Data Science - from Concepts to Clinical Translation. CoRR abs/2011.02284 (2020)
2010 – 2019
- 2019
- [j33]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks. Int. J. Comput. Assist. Radiol. Surg. 14(9): 1611-1617 (2019) - [j32]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Deep learning for time series classification: a review. Data Min. Knowl. Discov. 33(4): 917-963 (2019) - [j31]Anne Grote, Nadine S. Schaadt, Germain Forestier, Cédric Wemmert, Friedrich Feuerhake:
Crowdsourcing of Histological Image Labeling and Object Delineation by Medical Students. IEEE Trans. Medical Imaging 38(5): 1284-1294 (2019) - [c51]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, François Petitjean, Lhassane Idoumghar, Pierre-Alain Muller:
Automatic Alignment of Surgical Videos Using Kinematic Data. AIME 2019: 104-113 - [c50]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Augmentation de données pour la classification de séries temporelles par réseaux de neurones profonds résiduels. EGC 2019: 375-376 - [c49]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Deep Neural Network Ensembles for Time Series Classification. IJCNN 2019: 1-6 - [c48]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Adversarial Attacks on Deep Neural Networks for Time Series Classification. IJCNN 2019: 1-8 - [c47]Mounir Bendali-Braham, Jonathan Weber, Germain Forestier, Lhassane Idoumghar, Pierre-Alain Muller:
Transfer learning for the classification of video-recorded crowd movements. ISPA 2019: 271-276 - [c46]Thomas Andrew Lampert, Odyssée Merveille, Jessica Schmitz, Germain Forestier, Friedrich Feuerhake, Cédric Wemmert:
Strategies for Training Stain Invariant CNNS. ISBI 2019: 905-909 - [c45]Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier:
Deep Constrained Clustering applied to Satellite Image Time Series. MACLEAN@PKDD/ECML 2019 - [i14]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Deep Neural Network Ensembles for Time Series Classification. CoRR abs/1903.06602 (2019) - [i13]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Adversarial Attacks on Deep Neural Networks for Time Series Classification. CoRR abs/1903.07054 (2019) - [i12]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, François Petitjean, Lhassane Idoumghar, Pierre-Alain Muller:
Automatic alignment of surgical videos using kinematic data. CoRR abs/1904.07302 (2019) - [i11]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks. CoRR abs/1908.07319 (2019) - [i10]Hassan Ismail Fawaz, Benjamin Lucas, Germain Forestier, Charlotte Pelletier, Daniel F. Schmidt, Jonathan Weber, Geoffrey I. Webb, Lhassane Idoumghar, Pierre-Alain Muller, François Petitjean:
InceptionTime: Finding AlexNet for Time Series Classification. CoRR abs/1909.04939 (2019) - 2018
- [j30]Germain Forestier, François Petitjean, Pavel Senin, Fabien Despinoy, Arnaud Huaulmé, Hassan Ismail Fawaz, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Pierre Jannin:
Surgical motion analysis using discriminative interpretable patterns. Artif. Intell. Medicine 91: 3-11 (2018) - [j29]Fabien Despinoy, Nabil Zemiti, Germain Forestier, L. Alonso Sanchez, Pierre Jannin, Philippe Poignet:
Evaluation of contactless human-machine interface for robotic surgical training. Int. J. Comput. Assist. Radiol. Surg. 13(1): 13-24 (2018) - [j28]Germain Forestier, Laurent Riffaud, François Petitjean, Pierre-Louis Hénaux, Pierre Jannin:
Surgical skills: Can learning curves be computed from recordings of surgical activities? Int. J. Comput. Assist. Radiol. Surg. 13(5): 629-636 (2018) - [j27]Bernard Gibaud, Germain Forestier, Carolin Feldmann, Giancarlo Ferrigno, Paulo J. S. Gonçalves, Tamás Haidegger, Chantal Julliard, Darko Katic, Hannes Kenngott, Lena Maier-Hein, Keno März, Elena De Momi, Dénes Ákos Nagy, Hirenkumar Nakawala, Juliane Neumann, Thomas Neumuth, Javier Rojas Balderrama, Stefanie Speidel, Martin Wagner, Pierre Jannin:
Toward a standard ontology of surgical process models. Int. J. Comput. Assist. Radiol. Surg. 13(9): 1397-1408 (2018) - [j26]Arnaud Huaulmé, Kanako Harada, Germain Forestier, Mamoru Mitsuishi, Pierre Jannin:
Sequential surgical signatures in micro-suturing task. Int. J. Comput. Assist. Radiol. Surg. 13(9): 1419-1428 (2018) - [j25]Hoang Anh Dau, Diego Furtado Silva, François Petitjean, Germain Forestier, Anthony J. Bagnall, Abdullah Mueen, Eamonn J. Keogh:
Optimizing dynamic time warping's window width for time series data mining applications. Data Min. Knowl. Discov. 32(4): 1074-1120 (2018) - [j24]Thomas Andrew Lampert, Thi-Bich-Hanh Dao, Baptiste Lafabregue, Nicolas Serrette, Germain Forestier, Bruno Crémilleux, Christel Vrain, Pierre Gançarski:
Constrained distance based clustering for time-series: a comparative and experimental study. Data Min. Knowl. Discov. 32(6): 1663-1707 (2018) - [c44]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Transfer learning for time series classification. IEEE BigData 2018: 1367-1376 - [c43]Bastien Latard, Jonathan Weber, Germain Forestier, Michel Hassenforder:
Catégorisation d'articles scientifiques basée sur les relations sémantiques des mots-clés. EGC 2018: 371-372 - [c42]Nadine S. Schaadt, Anne Grote, Germain Forestier, Cédric Wemmert, Friedrich Feuerhake:
Role of Task Complexity and Training in Crowdsourced Image Annotation. COMPAY/OMIA@MICCAI 2018: 44-51 - [c41]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Evaluating Surgical Skills from Kinematic Data Using Convolutional Neural Networks. MICCAI (4) 2018: 214-221 - [c40]Chang Wei Tan, Matthieu Herrmann, Germain Forestier, Geoffrey I. Webb, François Petitjean:
Efficient search of the best warping window for Dynamic Time Warping. SDM 2018: 225-233 - [i9]Nayyar Abbas Zaidi, Geoffrey I. Webb, François Petitjean, Germain Forestier:
On the Inter-relationships among Drift rate, Forgetting rate, Bias/variance profile and Error. CoRR abs/1801.09354 (2018) - [i8]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Evaluating surgical skills from kinematic data using convolutional neural networks. CoRR abs/1806.02750 (2018) - [i7]Lena Maier-Hein, Matthias Eisenmann, Carolin Feldmann, Hubertus Feussner, Germain Forestier, Stamatia Giannarou, Bernard Gibaud, Gregory D. Hager, Makoto Hashizume, Darko Katic, Hannes Kenngott, Ron Kikinis, Michael Kranzfelder, Anand Malpani, Keno März, Beat P. Müller-Stich, Nassir Navab, Thomas Neumuth, Nicolas Padoy, Adrian Park, Carla M. Pugh, Nicolai Schoch, Danail Stoyanov, Russell H. Taylor, Martin Wagner, S. Swaroop Vedula, Pierre Jannin, Stefanie Speidel:
Surgical Data Science: A Consensus Perspective. CoRR abs/1806.03184 (2018) - [i6]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Data augmentation using synthetic data for time series classification with deep residual networks. CoRR abs/1808.02455 (2018) - [i5]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Deep learning for time series classification: a review. CoRR abs/1809.04356 (2018) - [i4]Thomas Andrew Lampert, Odyssée Merveille, Jessica Schmitz, Germain Forestier, Friedrich Feuerhake, Cédric Wemmert:
Strategies for Training Stain Invariant CNNs. CoRR abs/1810.10338 (2018) - [i3]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Transfer learning for time series classification. CoRR abs/1811.01533 (2018) - 2017
- [j23]Germain Forestier, François Petitjean, Laurent Riffaud, Pierre Jannin:
Automatic matching of surgeries to predict surgeons' next actions. Artif. Intell. Medicine 81: 3-11 (2017) - [j22]Germain Forestier, François Petitjean, Pavel Senin, Laurent Riffaud, Pierre-Louis Hénaux, Pierre Jannin:
Finding discriminative and interpretable patterns in sequences of surgical activities. Artif. Intell. Medicine 82: 11-19 (2017) - [j21]Arnaud Huaulmé, Sandrine Voros, Laurent Riffaud, Germain Forestier, Alexandre Moreau-Gaudry, Pierre Jannin:
Distinguishing surgical behavior by sequential pattern discovery. J. Biomed. Informatics 67: 34-41 (2017) - [c39]Germain Forestier, François Petitjean, Pavel Senin, Fabien Despinoy, Pierre Jannin:
Discovering Discriminative and Interpretable Patterns for Surgical Motion Analysis. AIME 2017: 136-145 - [c38]Hoang Anh Dau, Diego Furtado Silva, François Petitjean, Germain Forestier, Anthony J. Bagnall, Eamonn J. Keogh:
Judicious setting of Dynamic Time Warping's window width allows more accurate classification of time series. IEEE BigData 2017: 917-922 - [c37]Bastien Latard, Jonathan Weber, Germain Forestier, Michel Hassenforder:
Towards a Semantic Search Engine for Scientific Articles. TPDL 2017: 608-611 - [c36]Germain Forestier, François Petitjean, Hoang Anh Dau, Geoffrey I. Webb, Eamonn J. Keogh:
Generating Synthetic Time Series to Augment Sparse Datasets. ICDM 2017: 865-870 - [c35]Bastien Latard, Jonathan Weber, Germain Forestier, Michel Hassenforder:
Using Semantic Relations between Keywords to Categorize Articles from Scientific Literature. ICTAI 2017: 260-264 - [c34]Maja Temerinac-Ott, Germain Forestier, Jessica Schmitz, Meyke Hermsen, J. H. Braseni, Friedrich Feuerhake, Cédric Wemmert:
Detection of glomeruli in renal pathology by mutual comparison of multiple staining modalities. ISPA 2017: 19-24 - [i2]Lena Maier-Hein, S. Swaroop Vedula, Stefanie Speidel, Nassir Navab, Ron Kikinis, Adrian Park, Matthias Eisenmann, Hubertus Feussner, Germain Forestier, Stamatia Giannarou, Makoto Hashizume, Darko Katic, Hannes Kenngott, Michael Kranzfelder, Anand Malpani, Keno März, Thomas Neumuth, Nicolas Padoy, Carla M. Pugh, Nicolai Schoch, Danail Stoyanov, Russell H. Taylor, Martin Wagner, Gregory D. Hager, Pierre Jannin:
Surgical Data Science: Enabling Next-Generation Surgery. CoRR abs/1701.06482 (2017) - [i1]Bastien Latard, Jonathan Weber, Germain Forestier, Michel Hassenforder:
Towards a Semantic Search Engine for Scientific Articles. CoRR abs/1709.09836 (2017) - 2016
- [j20]Grégory Apou, Nadine S. Schaadt, Benoît Naegel, Germain Forestier, Ralf Schönmeyer, Friedrich Feuerhake, Cédric Wemmert, Anne Grote:
Detection of lobular structures in normal breast tissue. Comput. Biol. Medicine 74: 91-102 (2016) - [j19]Germain Forestier, Cédric Wemmert:
Semi-supervised learning using multiple clusterings with limited labeled data. Inf. Sci. 361-362: 48-65 (2016) - [j18]François Petitjean, Germain Forestier, Geoffrey I. Webb, Ann E. Nicholson, Yanping Chen, Eamonn J. Keogh:
Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm. Knowl. Inf. Syst. 47(1): 1-26 (2016) - [j17]Fabien Despinoy, David Bouget, Germain Forestier, Cédric Penet, Nabil Zemiti, Philippe Poignet, Pierre Jannin:
Unsupervised Trajectory Segmentation for Surgical Gesture Recognition in Robotic Training. IEEE Trans. Biomed. Eng. 63(6): 1280-1291 (2016) - [j16]Mariem Mahfoudh, Germain Forestier, Laurent Thiry, Michel Hassenforder:
Comment fusionner des ontologies avec la réécriture de graphes ? Tech. Sci. Informatiques 35(1): 31-53 (2016) - [c33]Vinh-Trung Luu, Germain Forestier, Mathis Ripken, Frédéric Fondement, Pierre-Alain Muller:
Web usage prediction and recommendation using web session clustering. ICDIM 2016: 107-113 - [c32]Mariem Mahfoudh, Germain Forestier, Michel Hassenforder:
A Benchmark for Ontologies Merging Assessment. KSEM 2016: 555-566 - [c31]Vinh-Trung Luu, Mathis Ripken, Germain Forestier, Frédéric Fondement, Pierre-Alain Muller:
Using Glocal Event Alignment for Comparing Sequences of Significantly Different Lengths. MLDM 2016: 58-72 - [e2]Cyril de Runz, Germain Forestier, Cécile Favre, Camille Kurtz:
Fouille de Données Complexes. RNTI E-31, Éditions RNTI 2016, ISBN 979-10-96289-01-1 [contents] - 2015
- [j15]Germain Forestier, Laurent Riffaud, Pierre Jannin:
Automatic phase prediction from low-level surgical activities. Int. J. Comput. Assist. Radiol. Surg. 10(6): 833-841 (2015) - [j14]Mariem Mahfoudh, Germain Forestier, Laurent Thiry, Michel Hassenforder:
Algebraic graph transformations for formalizing ontology changes and evolving ontologies. Knowl. Based Syst. 73: 212-226 (2015) - [c30]Germain Forestier, François Petitjean, Laurent Riffaud, Pierre Jannin:
Optimal Sub-Sequence Matching for the Automatic Prediction of Surgical Tasks. AIME 2015: 123-132