Milad Leyli-Abadi
Orcid: 0000-0001-8006-5522
According to our database1,
Milad Leyli-Abadi
authored at least 17 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design.
CoRR, 2024
ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design).
CoRR, 2024
Optimal transport based adversarial patch to leverage large scale attack transferability.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
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.
Neurocomputing, 2021
Deep Neural Networks for Classification of Riding Patterns: with a focus on explainability.
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.
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.
Proceedings of the IEEE International Smart Cities Conference, 2020
Road Patterns Identification and Risk Analysis Based on Machine Learning Framework: Powered Two-Wheelers Case.
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).
PhD thesis, 2019
Mixture of Joint Nonhomogeneous Markov Chains to Cluster and Model Water Consumption Behavior Sequences.
ACM Trans. Intell. Syst. Technol., 2019
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.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Denoising Autoencoder as an Effective Dimensionality Reduction and Clustering of Text Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017
Predictive Classification of Water Consumption Time Series Using Non-homogeneous Markov Models.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017