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Milad Leyli-Abadi

Predictive Classification of Water Consumption Time Series Using Non-homogeneous Markov Models
2017 · Milad Leyli Abadi, Allou Same, et al. · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · 28
Denoising Autoencoder as an Effective Dimensionality Reduction and Clustering of Text Data
2017 · Milad Leyli-Abadi, Lazhar Labiod, et al. · Lecture notes in computer science · 24
Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time Series
2018 · Milad Leyli-Abadi, Allou Same, et al. · International Joint Conference on Neural Networks (IJCNN) · 8
LIPS - Learning Industrial Physical Simulation Benchmark Suite
2022 · Milad Leyli Abadi, Antoine Marot, et al. · neural information processing systems · 6
Online common change-point detection in a set of nonstationary categorical time series
2021 · Milad Leyli-Abadi, Allou Samé, et al. · Neurocomputing · 5
Riding Pattern Recognition for Powered Two-Wheelers Using a Long Short-Term Memory Network
2020 · Milad Leyli-abadi, Abderrahmane Boubezoul, et al. · IEEE International Conference on Intelligent Transportation Systems (ITSC) · 3
Mixture of Joint Nonhomogeneous Markov Chains to Cluster and Model Water Consumption Behavior Sequences
2019 · Milad Leyli-Abadi, Allou samé, et al. · ACM Transactions on Intelligent Systems and Technology · 2
A Machine Learning Framework for Turbofan Health Estimation via Inverse Problem Formulation
2026 · Milad Leyli-Abadi, Lucas Thil, et al. · Lecture notes in computer science · 1
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Change Point Detection in Periodic Panel Data Using a Mixture-Model-Based Approach
2019 · Allou Samé, Milad Leyli-Abadi · Lecture notes in computer science · 1
Health Indicator Degradation Dataset
2026 · LEYLI ABADI, Milad, RAZAKARIVONY, Sébastien · Zenodo (CERN European Organization for Nuclear Research)
Data Drift Detection and Assessment for AI-hybrid Models Applied on Electrical Energy Consumption
2025 · Faouzi Adjed, Milad Leyli-Abadi, et al. · Proceedings of the AAAI Symposium Series
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ML4CFD Competition: Results and Retrospective Analysis
2025 · Mouadh Yagoubi, David Danan, et al. · neural information processing systems
Carpet-bombing patch: attacking a deep network without usual requirements
2022 · Labarbarie, Pol, Chan-Hon-Tong, Adrien, et al. · arXiv (Cornell University)
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Road Patterns Identification and Risk Analysis Based on Machine Learning Framework: Powered Two-Wheelers Case
2020 · Milad Leyli-abadi, Abderrahmane Boubezoul, et al. · Lecture notes in computer science
Modélisation dynamique, classification et détection de changement dans les panels catégoriels issus d'un réseau d'eau intelligent
2019 · Milad Leyli Abadi · theses.fr (ABES)
Détection en ligne de multiples changements dans un panel de données catégorielles
2019 · Leyli-Abadi, Milad, Same, Allou, et al. · HAL
Mélange de chaînes de Markov non-homogènes pour la classification et la prévision des habitudes de consommation issues d'un réseau d'eau intelligent
2018 · Leyli-Abadi, Milad, Same, Allou, et al. · HAL
Works count: 17
Citation count: 78
H-index: 5
I10-index: 2
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