Deep learning for time series classification: a review H Ismail Fawaz, G Forestier, J Weber, L Idoumghar, PA Muller Data mining and knowledge discovery 33 (4), 917-963, 2019 | 3112 | 2019 |
Inceptiontime: Finding alexnet for time series classification H Ismail Fawaz, B Lucas, G Forestier, C Pelletier, DF Schmidt, J Weber, ... Data Mining and Knowledge Discovery 34 (6), 1936-1962, 2020 | 1100 | 2020 |
Weaving executability into object-oriented meta-languages PA Muller, F Fleurey, JM Jézéquel International Conference on Model Driven Engineering Languages and Systems …, 2005 | 691 | 2005 |
Modélisation objet avec UML PA Muller, N Gaertner Eyrolles 514, 235, 2000 | 517 | 2000 |
Transfer learning for time series classification HI Fawaz, G Forestier, J Weber, L Idoumghar, PA Muller 2018 IEEE international conference on big data (Big Data), 1367-1376, 2018 | 332 | 2018 |
Adversarial attacks on deep neural networks for time series classification HI Fawaz, G Forestier, J Weber, L Idoumghar, PA Muller 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 243 | 2019 |
Data augmentation using synthetic data for time series classification with deep residual networks HI Fawaz, G Forestier, J Weber, L Idoumghar, PA Muller arXiv preprint arXiv:1808.02455, 2018 | 198 | 2018 |
Instant Uml PA Muller Wrox Press Ltd., 1997 | 185* | 1997 |
Evaluating surgical skills from kinematic data using convolutional neural networks H Ismail Fawaz, G Forestier, J Weber, L Idoumghar, PA Muller Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 128 | 2018 |
Qualifying input test data for model transformations F Fleurey, B Baudry, PA Muller, YL Traon Software & Systems Modeling 8, 185-203, 2009 | 113 | 2009 |
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks H Ismail Fawaz, G Forestier, J Weber, L Idoumghar, PA Muller International journal of computer assisted radiology and surgery 14, 1611-1617, 2019 | 110 | 2019 |
On executable meta-languages applied to model transformations PA Muller, F Fleurey, D Vojtisek, Z Drey, D Pollet, F Fondement, P Studer, ... Model transformations in practice workshop, 2005 | 107 | 2005 |
Platform independent Web application modeling and development with Netsilon PA Muller, P Studer, F Fondement, J Bézivin Software & Systems Modeling 4, 424-442, 2005 | 99 | 2005 |
MDA components: Challenges and Opportunities J Bézivin, S Gérard, PA Muller, L Rioux Workshop on Metamodelling for MDA, 23-41, 2003 | 98 | 2003 |
Modeling modeling modeling PA Muller, F Fondement, B Baudry, B Combemale Software & Systems Modeling 11, 347-359, 2012 | 88 | 2012 |
Model-driven analysis and synthesis of concrete syntax PA Muller, F Fleurey, F Fondement, M Hassenforder, R Schneckenburger, ... Model Driven Engineering Languages and Systems: 9th International Conference …, 2006 | 87 | 2006 |
Modelado de Objetos con UML PA Muller Gestión 2000, 1997 | 59 | 1997 |
Surgical motion analysis using discriminative interpretable patterns G Forestier, F Petitjean, P Senin, F Despinoy, A Huaulmé, HI Fawaz, ... Artificial intelligence in medicine 91, 3-11, 2018 | 57 | 2018 |
Exploiting model driven technology: a tale of two startups T Clark, PA Muller Software & Systems Modeling 11, 481-493, 2012 | 49 | 2012 |
Towards dependable model transformations: Qualifying input test data F Fleurey, B Baudry, PA Muller, Y Le Traon Software and Systems Modeling, 2007 | 42 | 2007 |