| 2025 | SMC | A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures. | Milad Leyli-Abadi, Ricardo J. Bessa, Jan Viebahn, Daniel Boos, Clark Borst, Alberto Castagna, Ricardo Chavarriaga, Mohamed Hassouna, Bruno Lemetayer, Giulia Leto, Antoine Marot, Maroua Meddeb, Manuel Meyer, Viola Schiaffonati, Manuel Schneider, Toni Waefler, Mouadh Yagoubi |
| 2024 | ESANN | Evaluation methodology for disentangled uncertainty quantification on regression models. | Kevin Pasini, Clment Arlotti, Milad Leyli-Abadi, Marc Nabhan, Johanna Baro |
| 2024 | ICLR | Optimal transport based adversarial patch to leverage large scale attack transferability. | Pol Labarbarie, Adrien Chan-Hon-Tong, Stphane Herbin, Milad Leyli-Abadi |
| 2022 | IJCAI | Benchmarking and deeper analysis of adversarial patch attack on object detectors. | Pol Labarbarie, Adrien Chan-Hon-Tong, Stphane Herbin, Milad Leyli-Abadi |
| 2021 | ESANN | Deep Neural Networks for Classification of Riding Patterns: with a focus on explainability. | Milad Leyli-Abadi, Abderrahmane Boubezoul |
| 2020 | IDEAL | Road Patterns Identification and Risk Analysis Based on Machine Learning Framework: Powered Two-Wheelers Case. | Milad Leyli-Abadi, Abderrahmane Boubezoul, Stphane Espi |
| 2019 | PAKDD | Change Point Detection in Periodic Panel Data Using a Mixture-Model-Based Approach. | Allou Sam, Milad Leyli-Abadi |
| 2018 | IJCNN | Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time Series. | Milad Leyli-Abadi, Allou Sam, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cdric Fliers, Olivier Chesneau |
| 2017 | DSAA | Predictive Classification of Water Consumption Time Series Using Non-homogeneous Markov Models. | Milad Leyli-Abadi, Allou Sam, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cdric Fliers, Olivier Chesneau |
| 2017 | PAKDD | Denoising Autoencoder as an Effective Dimensionality Reduction and Clustering of Text Data. | Milad Leyli-Abadi, Lazhar Labiod, Mohamed Nadif |