| 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 | 1457 | 2020 |
| 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 | 982 | 2019 |
| 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 | 404 | 2018 |
| 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 | 207 | 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 | 197 | 2019 |
| 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 | 146 | 2018 |
| 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 | 128 | 2019 |
| Deep neural network ensembles for time series classification HI Fawaz, G Forestier, J Weber, L Idoumghar, PA Muller 2019 International Joint Conference on Neural Networks (IJCNN), 1-6, 2019 | 102 | 2019 |
| Recent trends in crowd analysis: A review M Bendali-Braham, J Weber, G Forestier, L Idoumghar, PA Muller Machine Learning with Applications 4, 100023, 2021 | 95 | 2021 |
| Hybrid differential evolution algorithm employed for the optimum design of a high-speed PMSM used for EV propulsion D Fodorean, L Idoumghar, M Brévilliers, P Minciunescu, C Irimia IEEE Transactions on Industrial Electronics 64 (12), 9824-9833, 2017 | 92 | 2017 |
| On the optimal placement of cameras for surveillance and the underlying set cover problem J Kritter, M Brévilliers, J Lepagnot, L Idoumghar Applied Soft Computing 74, 133-153, 2019 | 82 | 2019 |
| 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 | 68 | 2018 |
| Hybrid PSO‐SA type algorithms for multimodal function optimization and reducing energy consumption in embedded systems L Idoumghar, M Melkemi, R Schott, MI Aouad Applied Computational Intelligence and Soft Computing 2011 (1), 138078, 2011 | 63 | 2011 |
| New hybrid genetic algorithms for the frequency assignment problem M Alabau, L Idoumghar, R Schott IEEE Transactions on Broadcasting 48 (1), 27-34, 2002 | 61 | 2002 |
| GPU parallelization strategies for metaheuristics: a survey M Essaid, L Idoumghar, J Lepagnot, M Brévilliers International Journal of Parallel, Emergent and Distributed Systems 34 (5 …, 2019 | 60 | 2019 |
| Hybrid ICA–PSO algorithm for continuous optimization L Idoumghar, N Chérin, P Siarry, R Roche, A Miraoui Applied Mathematics and Computation 219 (24), 11149-11170, 2013 | 57 | 2013 |
| Motorization for an electric scooter by using permanent-magnet machines optimized based on a hybrid metaheuristic algorithm D Fodorean, L Idoumghar, L Szabó IEEE Transactions on Vehicular Technology 62 (1), 39-49, 2012 | 46 | 2012 |
| Coordinated consensus for smart grid economic environmental power dispatch with dynamic communication network M Hamdi, M Chaoui, L Idoumghar, A Kachouri IET Generation, Transmission & Distribution 12 (11), 2603-2613, 2018 | 45 | 2018 |
| A novel harmony search algorithm and its application to data clustering K Talaei, A Rahati, L Idoumghar Applied Soft Computing 92, 106273, 2020 | 43 | 2020 |
| Data augmentation using synthetic data for time series classification with deep residual networks H Ismail Fawaz, G Forestier, J Weber, L Idoumghar, PA Muller ArXiv e-prints, arXiv: 1808.02455, 2018 | 38 | 2018 |
Jonathan WeberFull Professor of Computer Science, Université de Haute-AlsaceVerified email at uha.fr
