Milad Leyli abadi

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IRT SystemX

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Publications

Recovery trajectories and predictors of symptom resolution in post-COVID-19 condition: a population-based cohort study

Jean-Patrick Brunet , Sonja van Ockenburg , Milad Leyli-Abadi , Gerton Lunter , Judith G.M. Rosmalen

The Lancet Regional Health - Europe, 2026, 69, pp.101802. ⟨10.1016/j.lanepe.2026.101802⟩

Article dans une revue hal-05724892v1

Human-AI Interaction in Safety-Critical Network Infrastructures

Marco Mussi , Alberto Maria Metelli , Marcello Restelli , Gianvito Losapio , Ricardo Bessa et al.

iScience, 2025, pp.113400. ⟨10.1016/j.isci.2025.113400⟩

Article dans une revue hal-05229529v1

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

Milad Leyli-Abadi , Allou Same , Latifa Oukhellou , Nicolas Cheifetz , Pierre Mandel et al.

Neurocomputing, 2021, 439, pp 176-196. ⟨10.1016/j.neucom.2021.01.066⟩

Article dans une revue istex hal-03596123v1

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

Milad Leyli-Abadi , Allou Same , Latifa Oukhellou , Nicolas Cheifetz , Pierre Mandel et al.

ACM Transactions on Intelligent Systems and Technology, 2019, 1 (1), 22p. ⟨10.1145/3347452⟩

Article dans une revue hal-02278251v1

CLARTE - Channel-adaptive Lightweight Aggregation for Retrieval and Temporal Explainability

Martin Royer , Maxence Gagnant , Martin Gonzalez , Milad Leyli-Abadi

International Workshop on Advanced Analytics and Learning on Temporal Data, ECML - PKDD 2026, Sep 2026, Napoli, Italy

Communication dans un congrès hal-05660208v1

A Machine Learning Framework for Turbofan Health Estimation via Inverse Problem Formulation

Milad Leyli-Abadi , Lucas Thil , Sebastien Razakarivony , Guillaume Doquet , Jesse Read

ECML PKDD 2026, Sep 2026, Naples, Italy. ⟨10.48550/arXiv.2604.08460⟩

Communication dans un congrès hal-05639639v1

NeurIPS 2024 ML4CFD Competition: Results and Retrospective Analysis

Mouadh Yagoubi , David Danan , Milad Leyli-Abadi , Ahmed Mazari , Jean-Patrick Brunet et al.

Neural Information Processing Systems 2025, Dec 2025, San Diego (US), United States. ⟨10.48550/arXiv.2506.08516⟩

Communication dans un congrès hal-05190901v1

Training as an affordable and powerful lever to stimulate the evolution dynamics of a newly designed technology platform at the frontier between academia and industry

Agathe Gilain , Patrice Aknin , Claudiu Balan , Pascal Le Masson , Milad Leyli-Abadi et al.

25th International Conference on Engineering Design (ICED), Aug 2025, Dallas, United States. ⟨10.1017/pds.2025.10337⟩

Communication dans un congrès hal-04965448v1

Study Design and Demystification of Physics Informed Neural Networks for Power Flow Simulation

Milad Leyli-Abadi , Antoine Marot , Jérôme Picault

Workshop Machine Learning for Sustainable Power Systems (ML4SPS), ECML-PKDD, Sep 2025, Porto, Portugal

Communication dans un congrès hal-05190842v1

Statistical and Predictive Analysis to Identify Risk Factors and Effects of Post COVID-19 Syndrome

Milad Leyli-Abadi , Sonja van Ockenburg , Axel Tahmasebimoradi , Jean-Patrick Brunet

IARIA Pandemics Analytics 2025, Oct 2025, Barcelona (ES), Spain

Communication dans un congrès hal-05229417v1

Data Drift Detection and Assessment for AI-hybrid Models Applied on Electrical Energy Consumption

Faouzi Adjed , Milad Leyli-Abadi , Elies Gherbi , Martin Gonzalez

Workshop AI Trustworthiness and Risk Assessment for Challenged Contexts (ATRACC) - AAAI Fall Symposium, Nov 2025, Arlington, United States

Communication dans un congrès hal-05359551v1

Evaluation methodology for disentangled uncertainty quantification on regression models

Kévin Pasini , Marc Nabhan , Clément Arlotti , M Leyli-Abadi , Johanna Baro

32th European Symposium on Artificial Neural Networks (ESANN), Oct 2024, Bruges, Belgium

Communication dans un congrès hal-04667732v1

Optimal transport based adversarial patch to leverage large scale attack transferability

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

The International Conference on Learning Representations (ICLR 2024), May 2024, Vienne, Austria

Communication dans un congrès hal-04467796v1

Benchmarking and deeper analysis of adversarial patch attack on object detectors

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

Workshop Artificial Intelligence Safety - AI Safety (IJCAI-ECAI conference), Jul 2022, Vienne, Austria

Communication dans un congrès hal-03806714v1

LIPS - Learning Industrial Physical Simulation benchmark suite

Milad Leyli-Abadi , David Danan , Mouadh Yagoubi , Seif-Eddine Attoui , Antoine Marot et al.

NeurIPS - Data & Benchmark Track, Nov 2022, New Orleans, United States

Communication dans un congrès hal-03780816v1

Predictive analysis of fatigue crack growth on railroad tracks using machine learning techniques

Milad Leyli-Abadi , Olivier Vo Van

The Fifth International Conference on Railway Technology: Research, Development and Maintenance (Railways 2022), Aug 2022, Montpellier, France

Communication dans un congrès hal-03812030v1

Riding pattern recognition for powered two-wheelers using a long short-term memory network

Milad Leyli-Abadi , Abderrahmane Boubezoul , Latifa Oukhellou

IEEE ITSC 2020, 23rd International conference on intelligent transportation systems, Sep 2020, Rhodes, France. 7p, ⟨10.1109/ITSC45102.2020.9294579⟩

Communication dans un congrès hal-03922913v1

Détection en ligne de multiples changements dans un panel de données catégorielles

Milad Leyli-Abadi , Allou Same , Latifa Oukhellou

SFC 2019, XXVIèmes rencontres de la société francophone de classification, Sep 2019, Nancy, France. 4p

Communication dans un congrès hal-02364858v1

Mélange de chaînes de Markov non-homogènes pour la classification et la prévision des habitudes de consommation issues d'un réseau d'eau intelligent

Milad Leyli-Abadi , Allou Same , Latifa Oukhellou

XXVèmes Rencontres de la Société Francophone de Classification, Sep 2018, Paris, France. 4p

Communication dans un congrès hal-01901079v1

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

Milad Leyli-Abadi , Allou Same , Latifa Oukhellou , Nicolas Cheifetz , Pierre Mandel et al.

IEEE IJCNN'18, IEEE International Joint Conference on Neural Networks, Jul 2018, Rio de Janeiro, France. 8p

Communication dans un congrès hal-01891349v1

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

Milad Leyli-Abadi , Allou Same , Latifa Oukhellou , Nicolas Cheifetz , Pierre Mandel et al.

IEEE DSAA 2017, International Conference on Data Science and Advanced Analytics, Oct 2017, Tokyo, Japan. 8p

Communication dans un congrès hal-01581073v1

Change detection in smart grids using dynamic mixtures of t-distributions

Allou Same , Milad Leyli-Abadi , Latifa Oukhellou

In: Advances in Condition Monitoring and Structural Health Monitoring, Springer, pp.53-68, 2021, Lectures notes in Mechanical Engineering, 978-981-15-9199-0. ⟨10.1007/978-981-15-9199-0_6⟩

Chapitre d'ouvrage hal-03602456v1

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

Allou Samé , Milad Leyli-Abadi

Trends and Applications in Knowledge Discovery and Data Mining, 11607, Springer International Publishing, pp.139-150, 2019, Lecture Notes in Computer Science, 978-3-030-26141-2. ⟨10.1007/978-3-030-26142-9_13⟩

Chapitre d'ouvrage hal-04497067v1

A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures

Milad Leyli-Abadi , Ricardo Bessa , Jan Viebahn , Daniel Boos , Clark Borst et al.

2025

Pré-publication, Document de travail (preprint/prepublication) hal-05069164v1

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

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

2023

Pré-publication, Document de travail hal-04264001v1

Modélisation dynamique, classification et détection de changement dans les panels catégoriels issus d'un réseau d'eau intelligent

Milad Leyli Abadi

Ingénierie assistée par ordinateur. Université Paris-Est, 2019. Français. ⟨NNT : 2019PESC2003⟩

Thèse tel-02520488v2

Chargement...

Milad Leyli abadi

Publications

Publications

Recovery trajectories and predictors of symptom resolution in post-COVID-19 condition: a population-based cohort study

Human-AI Interaction in Safety-Critical Network Infrastructures

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

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

CLARTE - Channel-adaptive Lightweight Aggregation for Retrieval and Temporal Explainability

A Machine Learning Framework for Turbofan Health Estimation via Inverse Problem Formulation

NeurIPS 2024 ML4CFD Competition: Results and Retrospective Analysis

Training as an affordable and powerful lever to stimulate the evolution dynamics of a newly designed technology platform at the frontier between academia and industry

Study Design and Demystification of Physics Informed Neural Networks for Power Flow Simulation

Statistical and Predictive Analysis to Identify Risk Factors and Effects of Post COVID-19 Syndrome

Data Drift Detection and Assessment for AI-hybrid Models Applied on Electrical Energy Consumption

Evaluation methodology for disentangled uncertainty quantification on regression models

Optimal transport based adversarial patch to leverage large scale attack transferability

Benchmarking and deeper analysis of adversarial patch attack on object detectors

LIPS - Learning Industrial Physical Simulation benchmark suite

Predictive analysis of fatigue crack growth on railroad tracks using machine learning techniques

Riding pattern recognition for powered two-wheelers using a long short-term memory network

Détection en ligne de multiples changements dans un panel de données catégorielles

Mélange de chaînes de Markov non-homogènes pour la classification et la prévision des habitudes de consommation issues d&apos;un réseau d&apos;eau intelligent

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

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

Change detection in smart grids using dynamic mixtures of t-distributions

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

A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures

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

Modélisation dynamique, classification et détection de changement dans les panels catégoriels issus d'un réseau d'eau intelligent

Mélange de chaînes de Markov non-homogènes pour la classification et la prévision des habitudes de consommation issues d'un réseau d'eau intelligent