Short & long term forecasting of multimodal transport passenger flows with machine learning methods. - Florian Toqué; Mostepha Khouadjia; Etienne Côme; Martin Trépanier; Latifa Oukhellou (ITSC, 2017)

LSTM Encoder-Predictor for Short-Term Train Load Forecasting. - Kevin Pasini; Mostepha Khouadjia; Allou Samé; Fabrice Ganansia; Latifa Oukhellou (ECML/PKDD (3), 2019)

Passenger flow forecasting on transportation network: sensitivity analysis of the spatiotemporal features. - Johanna Baro; Mostepha Khouadjia (ICDM (Workshops), 2021)

A Multi-Criteria Multi-Modal Predictive Trip Planner: Application on Paris Metropolitan Network. - Pascal Benchimol; Ahmed Amrani; Mostepha Khouadjia (ISC2, 2021)

Scaling Time-Dependent Origin-Destination Matrix Using Growth Factor Model. - Fereshteh Asgari; Ahmed Amrani; Mostepha Khouadjia (ISCSIC, 2021)

Contextual anomaly detection on time series: a case study of metro ridership analysis. - Kevin Pasini; Mostepha Khouadjia; Allou Samé; Martin Trépanier; Latifa Oukhellou (Neural Comput. Appl., 2022)

Grid2Onto: An Application Ontology for Knowledge Capitalisation to Assist Power Grid Operators. - Emna Amdouni; Mostepha Khouadjia; Maroua Meddeb; Antoine Marot; Laure Crochepierre; Walid Achour (JOWO, 2023)

Explainable Action-Recognition Based Approach for Unsupervised Video Anomaly Detection. - Hui Yang; Mostepha Khouadjia; Nacéra Seghouani; Yue Ma 009; Serge Delmas (ISVC (1), 2024)

Improving Neural-based Classification with Logical Background Knowledge. - Arthur Ledaguenel; Céline Hudelot; Mostepha Khouadjia (CoRR, 2024)

Complexity of Probabilistic Reasoning for Neurosymbolic Classification Techniques. - Arthur Ledaguenel; Céline Hudelot; Mostepha Khouadjia (CoRR, 2024)

Neurosymbolic Conformal Classification. - Arthur Ledaguenel; Céline Hudelot; Mostepha Khouadjia (CoRR, 2024)

A Complexity Map of Probabilistic Reasoning for Neurosymbolic Classification Techniques. - Arthur Ledaguenel; Céline Hudelot; Mostepha Khouadjia (Math. Comput. Sci., 2025)