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Mostepha Khouadjia
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2020 – today
- 2024
- [i3]Arthur Ledaguenel, Céline Hudelot, Mostepha Khouadjia:
Improving Neural-based Classification with Logical Background Knowledge. CoRR abs/2402.13019 (2024) - [i2]Arthur Ledaguenel, Céline Hudelot, Mostepha Khouadjia:
Complexity of Probabilistic Reasoning for Neurosymbolic Classification Techniques. CoRR abs/2404.08404 (2024) - [i1]Arthur Ledaguenel, Céline Hudelot, Mostepha Khouadjia:
Neurosymbolic Conformal Classification. CoRR abs/2409.13585 (2024) - 2023
- [c6]Emna Amdouni, Mostepha Khouadjia, Maroua Meddeb, Antoine Marot, Laure Crochepierre, Walid Achour:
Grid2Onto: An Application Ontology for Knowledge Capitalisation to Assist Power Grid Operators. JOWO 2023 - 2022
- [j1]Kevin Pasini, Mostepha Khouadjia, Allou Samé, Martin Trépanier, Latifa Oukhellou:
Contextual anomaly detection on time series: a case study of metro ridership analysis. Neural Comput. Appl. 34(2): 1483-1507 (2022) - 2021
- [c5]Johanna Baro, Mostepha Khouadjia:
Passenger flow forecasting on transportation network: sensitivity analysis of the spatiotemporal features. ICDM (Workshops) 2021: 734-741 - [c4]Pascal Benchimol, Ahmed Amrani, Mostepha Khouadjia:
A Multi-Criteria Multi-Modal Predictive Trip Planner: Application on Paris Metropolitan Network. ISC2 2021: 1-4 - [c3]Fereshteh Asgari, Ahmed Amrani, Mostepha Khouadjia:
Scaling Time-Dependent Origin-Destination Matrix Using Growth Factor Model. ISCSIC 2021: 51-57
2010 – 2019
- 2019
- [c2]Kevin Pasini, Mostepha Khouadjia, Allou Samé, Fabrice Ganansia, Latifa Oukhellou:
LSTM Encoder-Predictor for Short-Term Train Load Forecasting. ECML/PKDD (3) 2019: 535-551 - 2017
- [c1]Florian Toqué, Mostepha Khouadjia, Etienne Côme, Martin Trépanier, Latifa Oukhellou:
Short & long term forecasting of multimodal transport passenger flows with machine learning methods. ITSC 2017: 560-566
Coauthor Index
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last updated on 2024-10-16 20:33 CEST by the dblp team
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