| LSTM encoder-predictor for short-term train load forecasting K Pasini, M Khouadjia, A Same, F Ganansia, L Oukhellou Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 32 | 2020 |
| Contextual anomaly detection on time series: a case study of metro ridership analysis K Pasini, M Khouadjia, A Samé, M Trépanier, L Oukhellou Neural Computing and Applications 34 (2), 1483-1507, 2022 | 13 | 2022 |
| Enhance Journey Planner with Predictive Travel Information for Smart City Routing Services A Amrani, K Pasini, M Khouadjia 2020 Forum on Integrated and Sustainable Transportation Systems (FISTS), 304-308, 2020 | 11 | 2020 |
| Forecasting passenger load in a transit network using data driven models K Pasini, M Khouadjia, F Ganansia, L Oukhellou WCRR 2019, 12th World Congress on Railway Research, -, 2019 | 8 | 2019 |
| Robust gas demand forecasting with conformal prediction M Mendil, L Mossina, M Nabhan, K Pasini Conformal and Probabilistic Prediction with Applications, 169-187, 2022 | 4 | 2022 |
| Predictive multimodal trip planner: A new generation of urban routing services A Amrani, K Pasini, M Khouadjia TRANSITDATA2019 5th International Workshop and Symposium, 2019 | 3 | 2019 |
| Forecast and anomaly detection on time series with dynamic context: Application to the mining of transit ridership data K Pasini Université gustave eiffel, 2021 | 2 | 2021 |
| Representation Learning of public transport data. Application to event detection K Pasini, A Same, M Khouadjia, F Ganansia, L Oukhellou 5th International Workshop and Symposium TransitData 2019, -, 2019 | 1 | 2019 |
| Modèle LSTM encodeur-prédicteur pour la prévision court-terme de l'affluence dans les transports collectifs K Pasini, M Khouadjia, A Same, F Ganansia, P Aknin, L Oukhellou CAP 2019, Conférence sur l'Apprentissage Automatique, -, 2019 | 1 | 2019 |
| Rule-Based Monitoring K Pasini, F Kaakai, PM Raffi, T Royet, G Bernard Workshop HyCHA (Hybridation Connaissances, Humain et Apprentissage Statistique), 2024 | | 2024 |
| Experimental methodology to evaluate the effectiveness of uncertainty disentanglement on regression models K Pasini, C Arlotti, M Leyli-abadi, M Nabhan, J Baro | | 2023 |
