Scholar
Jesse Read
Google Scholar ID: 4gNCRFAAAAAJ
École Polytechnique
Multi-label Classification
Data-Stream Learning
Machine Learning
Artificial Intelligence
Data Science
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Citations & Impact
All-time
Citations
7,125
H-index
31
i10-index
64
Publications
20
Co-authors
7
list available
Contact
CV
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Publications
10 items
A Machine Learning Framework for Turbofan Health Estimation via Inverse Problem Formulation
2026
Cited
0
Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach
2025
Cited
0
I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation
2025
Cited
0
Binary Split Categorical feature with Mean Absolute Error Criteria in CART
2025
Cited
0
Estimating Conditional Covariance between labels for Multilabel Data
2025
Cited
0
Uncertainty Quantification as a Complementary Latent Health Indicator for Remaining Useful Life Prediction on Turbofan Engines
2025
Cited
0
Flow Models for Unbounded and Geometry-Aware Distributional Reinforcement Learning
2025
Cited
0
Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models
2025
Cited
0
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Resume (English only)
Academic Achievements
Paper 'Classifier Chains for Multi-label Classification' received the Test of Time Award at ECML-PKDD 2019.
Launched a new MSc course 'Deep Reinforcement Learning' in November 2023.
Supervised successful PhD defenses of Ekaterina Antonenko (2023) and Olivier Pallanca (2023).
Co-led a project on Dynamic Graph Signal Processing with Johannes Lutzeyer and Luca Martino, funded by ANR in 2024.
Served as Program Co-Chair for ECML-PKDD 2021.
Served as Senior Program Committee member for IJCAI’19.
Scikit-Multiflow framework for multi-output streaming data learning accepted by JMLR-mloss in 2018.
Bachelor’s thesis supervised (Kayo Yin) won the Global Undergraduate Award in Computer Science in 2020.
Research Experience
Professor at École Polytechnique since 2019.
Assistant Professor at École Polytechnique from 2016 to 2019.
Postdoctoral researcher at INFRES, Télécom Paris in 2016.
Postdoctoral researcher at Aalto University, Finland (2013–2016).
Postdoctoral researcher at Dept. TSC, Universidad Carlos III de Madrid, Spain (2010–2013).
Co-authors
7 total
Albert Bifet
Télécom ParisTech & University of Waikato
Geoffrey Holmes
University of Waikato
Bernhard Pfahringer
Professor of Computer Science, University of Waikato
Luca Martino
Associate Professor - University of Catania
Indrė Žliobaitė
Professor, University of Helsinki
David Luengo
Universidad Politécnica de Madrid (UPM)
Co-author 7
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