| Operator-valued Kernels for Learning from Functional Response Data H Kadri, E DUFLOS, philippe preux, stephane canu, A Rakotomamonjy, ... JMLR, 2015 | 60 | 2015 |
| Maximum entropy semi-supervised inverse reinforcement learning J Audiffren, M Valko, A Lazaric, M Ghavamzadeh International Joint Conference on Artificial Intelligence, 2015 | 22 | 2015 |
| Preprocessing the Nintendo Wii board signal to derive more accurate descriptors of statokinesigrams J Audiffren, E Contal Sensors 16 (8), 1208, 2016 | 21 | 2016 |
| A non linear scoring approach for evaluating balance: classification of elderly as fallers and non-fallers J Audiffren, I Bargiotas, N Vayatis, PP Vidal, D Ricard PLoS one 11 (12), e0167456, 2016 | 17 | 2016 |
| Stability of multi-task kernel regression algorithms J Audiffren, H Kadri ACML, 2013 | 13 | 2013 |
| On the importance of local dynamics in statokinesigram: A multivariate approach for postural control evaluation in elderly I Bargiotas, J Audiffren, N Vayatis, PP Vidal, S Buffat, AP Yelnik, D Ricard PloS one 13 (2), e0192868, 2018 | 12 | 2018 |
| Cornering Stationary and Restless Mixing Bandits with Remix-UCB J Audiffren, L Ralaivola NIPS, 2015 | 12 | 2015 |
| Online learning with multiple operator-valued kernels J Audiffren, H Kadri arXiv preprint arXiv:1311.0222, 2013 | 7 | 2013 |
| Muller’s ratchet clicks in finite time J Audiffren, E Pardoux Stochastic Processes and their Applications 123 (6), 2370-2397, 2013 | 5 | 2013 |
| Online Learning with Operator-valued Kernels J Audiffren, H Kadri ESANN, 2015 | 4 | 2015 |
| Fusing Vector Space Models for Domain-Specific Applications L Rettig, J Audiffren, P Cudré-Mauroux 2019 IEEE 31st International Conference on Tools with Artificial …, 2019 | 3 | 2019 |
| NurseNet: monitoring elderly levels of activity with a piezoelectric floor L Minvielle, J Audiffren Sensors 19 (18), 3851, 2019 | 2 | 2019 |
| Model-space regularization and fully interpretable algorithms for postural control quantification A Nicolaï, J Audiffren 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC …, 2018 | 2 | 2018 |
| Bandits dueling on partially ordered sets J Audiffren, L Ralaivola Neural Information Processing Systems, NIPS 2017, 2017 | 2 | 2017 |
| Évaluation de l’équilibre et prédiction des risques de chutes en utilisant une Wii board balance J Audiffren, R Barrois-Müller, C Provost, É Chiarovano, L Oudre, ... Neurophysiologie Clinique/Clinical Neurophysiology 45 (4-5), 403, 2015 | 2 | 2015 |
| An opinion paper on the maintenance of robustness: Towards a multimodal and intergenerational approach using digital twins PP Vidal, A Vienne‐Jumeau, A Moreau, C Vidal, D Wang, J Audiffren, ... Aging Medicine 3 (3), 188-194, 2020 | 1 | 2020 |
| Apprenticeship learning for a predictive state representation of anesthesia P Humbert, C Dubost, J Audiffren, L Oudre IEEE Transactions on Biomedical Engineering 67 (7), 2052-2063, 2019 | 1 | 2019 |
| APCNN: Tackling class imbalance in relation extraction through aggregated piecewise convolutional neural networks A Smirnova, J Audiffren, P Cudré-Mauroux 2019 6th Swiss Conference on Data Science (SDS), 63-68, 2019 | 1 | 2019 |
| m-Power regularized least squares regression J Audiffren, H Kadri 2017 International Joint Conference on Neural Networks (IJCNN), 1080-1086, 2017 | 1 | 2017 |
| m-Power regularized least squares regression J Audiffren, H Kadri 2017 International Joint Conference on Neural Networks (IJCNN), 1080-1086, 2017 | 1 | 2017 |
Hachem KadriLIS - QARMA, Aix-Marseille UniversityVerified email at lis-lab.fr
