| Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients N Lassau, S Ammari, E Chouzenoux, H Gortais, P Herent, M Devilder, ... Nature communications 12 (1), 1-11, 2021 | 159 | 2021 |
| Detecting urban changes with recurrent neural networks from multitemporal Sentinel-2 data M Papadomanolaki, S Verma, M Vakalopoulou, S Gupta, K Karantzalos IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 139 | 2019 |
| Multi-label LSTM autoencoder for non-intrusive appliance load monitoring S Verma, S Singh, A Majumdar Electric Power Systems Research 199, 6, 2021 | 35 | 2021 |
| Diversity in fashion recommendation using semantic parsing S Verma, S Anand, C Arora, A Rai 2018 25th IEEE International Conference on Image Processing (ICIP), 500-504, 2018 | 30 | 2018 |
| Multi label restricted boltzmann machine for non-intrusive load monitoring S Verma, S Singh, A Majumdar ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 23 | 2019 |
| QFabric: Multi-Task Change Detection Dataset S Verma, A Panigrahi, S Gupta CVPR Earthvision, 10, 2021 | 21 | 2021 |
| Making third person techniques recognize first-person actions in egocentric videos S Verma, P Nagar, D Gupta, C Arora 2018 25th IEEE International Conference on Image Processing (ICIP), 2301-2305, 2018 | 13 | 2018 |
| 1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results B Kiefer, M Kristan, J Perš, L Žust, F Poiesi, F Andrade, A Bernardino, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 12 | 2023 |
| Sparsifying Networks via Subdifferential Inclusion S Verma, JC Pesquet ICML, 2021 | 11 | 2021 |
| Modeling electrical motor dynamics using encoder-decoder with recurrent skip connection S Verma, N Henwood, M Castella, F Malrait, JC Pesquet Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1387-1394, 2020 | 11 | 2020 |
| Tooling framework for instantiating natural language querying system M Jammi, J Sen, A Mittal, S Verma, V Pahuja, R Ananthanarayanan, ... Proceedings of the VLDB Endowment 11 (12), 2014-2017, 2018 | 11 | 2018 |
| GeoEngine: A Platform for Production-Ready Geospatial Research S Verma, S Gupta, H Shin, A Panigrahi, S Goswami, S Pardeshi, N Exe, ... Computer Vision and Pattern Recognition Demo Track, 2022 | 10 | 2022 |
| Neural Speed–Torque Estimator for Induction Motors in the Presence of Measurement Noise S Verma, N Henwood, M Castella, JC Pesquet IEEE Transactions on Industrial Electronics 70 (1), 167-177, 2022 | 9 | 2022 |
| Europa: Increasing Accessibility of Geospatial Datasets H Shin, N Exe, U Dutta, TR Joshi, S Verma, S Gupta International Geoscience and Remote Sensing Symposium, 2022 | 9 | 2022 |
| AI-based multi-modal integration of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients N Lassau, S Ammari, E Chouzenoux, H Gortais, P Herent, M Devilder, ... medRxiv, 2020.05. 14.20101972, 2020 | 9 | 2020 |
| Neural networks based speed-torque estimators for induction motors and performance metrics S Verma, N Henwood, M Castella, JC Pesquet IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics …, 2020 | 8 | 2020 |
| A Survey on Machine Learning Applied to Dynamic Physical Systems S Verma | 7 | 2021 |
| Collaborative filtering with label consistent restricted boltzmann machine S Verma, P Patel, A Majumdar 2017 Ninth International Conference on Advances in Pattern Recognition …, 2017 | 7 | 2017 |
| CertViT: Certified Robustness of Pre-Trained Vision Transformers K Gupta, S Verma arXiv preprint arXiv:2302.10287, 2023 | 3 | 2023 |
| Integration of clinical characteristics, lab tests and a deep learning CT scan analysis to predict severity of hospitalized COVID-19 patients N Lassau, S Ammari, E Chouzenoux, H Gortais, P Herent, M Devilder, ... MedRxiv, 2020 | 3 | 2020 |
Jean-Christophe PesquetDistinguished Professor at CentraleSupélec, Université Paris-SaclayVerified email at centralesupelec.fr
