| Predictive classification of water consumption time series using non-homogeneous markov models ML Abadi, A Samé, L Oukhellou, N Cheifetz, P Mandel, C Féliers, ... 2017 IEEE International Conference on Data Science and Advanced Analytics …, 2017 | 27 | 2017 |
| Denoising autoencoder as an effective dimensionality reduction and clustering of text data M Leyli-Abadi, L Labiod, M Nadif Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017 | 22 | 2017 |
| LIPS-Learning Industrial Physical Simulation benchmark suite M LEYLI ABADI, A Marot, J Picault, D Danan, M Yagoubi, B Donnot, ... Advances in Neural Information Processing Systems 35, 28095-28109, 2022 | 12 | 2022 |
| Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time Series M Leyli-Abadi, A Samé, L Oukhellou, N Cheifetz, P Mandel, C Féliers, ... 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 5 | 2018 |
| Online Common Change-point Detection in a Set of Nonstationary Categorical Time Series M Leyli-Abadi, A Samé, L Oukhellou, N Cheifetz, P Mandel, C Féliers, ... Neurocomputing, 2021 | 4 | 2021 |
| Benchmarking and deeper analysis of adversarial patch attack on object detectors P Labarbarie, A Chan-Hon-Tong, S Herbin, M Leyli-Abadi Workshop Artificial Intelligence Safety-AI Safety (IJCAI-ECAI conference), 2022 | 3 | 2022 |
| NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design M Yagoubi, D Danan, M Leyli-Abadi, JP Brunet, JA Mazari, F Bonnet, ... arXiv preprint arXiv:2407.01641, 2024 | 2 | 2024 |
| Riding Pattern Recognition for Powered Two-Wheelers Using a Long Short-Term Memory Network M Leyli-Abadi, A Boubezoul, L Oukhellou IEEE International Conference on Intelligent Transportation Systems (ITSC), 2020 | 2 | 2020 |
| ML4PhySim: Machine Learning for Physical Simulations Challenge (The airfoil design) M Yagoubi, M Leyli-Abadi, D Danan, JP Brunet, JA Mazari, F Bonnet, ... arXiv preprint arXiv:2403.01623, 2024 | 1 | 2024 |
| Non-Supervised Trajectory Segmentation and Cross Analysis of Riders’ Dynamic Behavior in a Simulated Riding Platform M Leyli-abadi, A Boubezoul, S Espié 2020 IEEE International Smart Cities Conference (ISC2), 1-8, 2020 | 1 | 2020 |
| Mixture of Joint Nonhomogeneous Markov Chains to Cluster and Model Water Consumption Behavior Sequences M Leyli-Abadi, A Samé, L Oukhellou, N Cheifetz, P Mandel, C Féliers, ... ACM Transactions on Intelligent Systems and Technology (TIST) 10 (6), 2019 | 1 | 2019 |
| Optimal transport based adversarial patch to leverage large scale attack transferability P Labarbarie, A Chan-Hon-Tong, S Herbin, M Leyli-Abadi The International Conference on Learning Representations (ICLR 2024), 2024 | | 2024 |
| Evaluation methodology for disentangled uncertainty quantification on regression models K Pasini, C Arlotti, M Leyli-abadi, M Nabhan, J Baro European Symposium on Artificial Neural Networks, 2024 proceedings, 2024 | | 2024 |
| Carpet-bombing patch: attacking a deep network without usual requirements P Labarbarie, A Chan-Hon-Tong, S Herbin, M Leyli-Abadi arXiv preprint arXiv:2212.05827, 2022 | | 2022 |
| Predictive analysis of fatigue crack growth on railroad tracks using machine learning techniques M Leyli-Abadi, OV Van The Fifth International Conference on Railway Technology: Research …, 2022 | | 2022 |
| Road Patterns Identification and Risk Analysis Based on Machine Learning Framework: Powered Two-Wheelers Case M Leyli-Abadi, A Boubezoul, S Espié International Conference on Intelligent Data Engineering and Automated …, 2020 | | 2020 |
| Modélisation dynamique, classification et détection de changement dans les panels catégoriels issus d'un réseau d'eau intelligent.(Dynamic modelling, clustering and change … M Leyli-Abadi University of Paris-Est, France, 2019 | | 2019 |
| Change Point Detection in Periodic Panel Data Using a Mixture-Model-Based Approach A Samé, M Leyli-Abadi Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2019 …, 2019 | | 2019 |
| Mélange de chaînes de Markov non-homogènes pour la classification et la prévision des habitudes de consommation issues d'un réseau d'eau intelligent M Leyli-Abadi, A Same, L Oukhellou XXVèmes Rencontres de la Société Francophone de Classification, 4p, 2018 | | 2018 |
| LIPS-Learning Industrial Physical Simulation benchmark suite–Appendix M Leyli-Abadi, D Danan, M Yagoubi, S Attoui, A Marot, J Picault, B Donnot, ... | | |
Latifa OukhellouDirectrice de Recherche. Gustave Eiffel UniversityVerified email at univ-eiffel.fr
