| Epidemic models for covid-19 during the first wave from February to May 2020: A methodological review M Garin, M Limnios, A Nicolaï, I Bargiotas, O Boulant, S Chick, A Dib, ... arXiv preprint arXiv:2109.01450, 2021 | 4 | 2021 |
| Bayesian feature discovery for predictive maintenance A Dib, C Truong, L Oudre, M Mougeot, N Vayatis, H Nonne 2021 29th European Signal Processing Conference (EUSIPCO), 1421-1425, 2021 | 3 | 2021 |
| A Bayesian Markov Model for Station-Level Origin-Destination Matrix Reconstruction V Amblard, A Dib, N Cherrier, G Barthe European Conference on Machine Learning (ECML PKDD), 2022 | 2 | 2022 |
| High dimensional pattern learning applied to symbolic time-series A Dib Université Paris-Saclay, 2021 | 1 | 2021 |
| Quantized Variational Inference A Dib Advances in Neural Information Processing Systems (NeurIPS 2020), 2020 | 1 | 2020 |
| Unified Occupancy on a Public Transport Network Through Combination of AFC and APC Data A Dib, N Cherrier, M Graive, B Rérolle, E Schmitt 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
| Context-Aware Automated Passenger Counting Data Denoising N Cherrier, B Rérolle, M Graive, A Dib, E Schmitt 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
| Epidemic Models for COVID-19 during the First Wave from February to May 2020: a Methodological Review (preprint) M Garin, M Limnios, A Nicolai, I Bargiotas, O Boulant, SE Chick, A Dib, ... | | 2021 |
| Modèles épidémiques développés pour étudier la transmission du COVID-19 durant la première vague de février à mai 2020: une revue méthodologique M Garin, M Limnios, A Nicolaï, T Evgeniou, I Bargiotas, O Boulant, S Chick, ... | | 2021 |
