Milad Leyli-Abadi

According to our database, Milad Leyli-Abadi authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design).

Mouadh Yagoubi, Milad Leyli-Abadi, David Danan, Jean-Patrick Brunet, Jocelyn Ahmed Mazari, Florent Bonnet, Asma Farjallah, Marc Schoenauer, Patrick Gallinari

CoRR, 2024

2022

Carpet-bombing patch: attacking a deep network without usual requirements.

Pol Labarbarie, Adrien Chan-Hon-Tong, Stéphane Herbin, Milad Leyli-Abadi

CoRR, 2022

LIPS - Learning Industrial Physical Simulation benchmark suite.

Milad Leyli-Abadi, Antoine Marot, Jérôme Picault, David Danan, Mouadh Yagoubi, Benjamin Donnot, Seif Attoui, Pavel Dimitrov, Asma Farjallah, Clement Etienam

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Benchmarking and deeper analysis of adversarial patch attack on object detectors.

Pol Labarbarie, Adrien Chan-Hon-Tong, Stéphane Herbin, Milad Leyli-Abadi

Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022) co-located with the Thirty-First International Joint Conference on Artificial Intelligence and the Twenty-Fifth European Conference on Artificial Intelligence (IJCAI-ECAI-2022), 2022

2021

Online common change-point detection in a set of nonstationary categorical time series.

Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Véronique Heim

Neurocomputing, 2021

Deep Neural Networks for Classification of Riding Patterns: with a focus on explainability.

Milad Leyli-Abadi, Abderrahmane Boubezoul

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

Riding Pattern Recognition for Powered Two-Wheelers Using a Long Short-Term Memory Network.

Milad Leyli-Abadi, Abderrahmane Boubezoul, Latifa Oukhellou

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Non-Supervised Trajectory Segmentation and Cross Analysis of Riders' Dynamic Behavior in a Simulated Riding Platform.

Milad Leyli-Abadi, Abderrahmane Boubezoul, Stéphane Espié

Proceedings of the IEEE International Smart Cities Conference, 2020

Road Patterns Identification and Risk Analysis Based on Machine Learning Framework: Powered Two-Wheelers Case.

Milad Leyli-Abadi, Abderrahmane Boubezoul, Stéphane Espié

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

2019

Modélisation dynamique, classification et détection de changement dans les panels catégoriels issus d'un réseau d'eau intelligent. (Dynamic modelling, clustering and change detection in categorical panel data issued from smart water grids).

Milad Leyli-Abadi

PhD thesis, 2019

Mixture of Joint Nonhomogeneous Markov Chains to Cluster and Model Water Consumption Behavior Sequences.

Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau

ACM Trans. Intell. Syst. Technol., 2019

Change Point Detection in Periodic Panel Data Using a Mixture-Model-Based Approach.

Allou Samé, Milad Leyli-Abadi

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

2018

Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time Series.

Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Denoising Autoencoder as an Effective Dimensionality Reduction and Clustering of Text Data.

Milad Leyli-Abadi, Lazhar Labiod, Mohamed Nadif

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Predictive Classification of Water Consumption Time Series Using Non-homogeneous Markov Models.

Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017