Jesse Read

École Polytechnique — France

Computer Science · Physical Sciences

33h-index7.6kcitations142works13.62yr avg
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Research Topics

Data Stream Mining Techniques(47), Text and Document Classification Technologies(35), Machine Learning and Data Classification(34), Anomaly Detection Techniques and Applications(25), Time Series Analysis and Forecasting(21)

Publications142 total

SLEADE: Disagreement-Based Semi-Supervised Learning for Sparsely Labeled Evolving Data Streams
IEEE Transactions on Knowledge and Data Engineering·2025
Binary Split Categorical feature with Mean Absolute Error Criteria in CART
arXiv (Cornell University)·2025Open Access
I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation
Lecture notes in computer science·2025Open Access
Uncertainty Quantification as a Complementary Latent Health Indicator for Remaining Useful Life Prediction on Turbofan Engines
2025· 2 citedOpen Access
Uncertainty Quantification as a Complementary Latent Health Indicator for Remaining Useful Life Prediction on Turbofan Engines
arXiv (Cornell University)·2025Open Access
Supervised Learning from Data Streams: An Overview and Update
ACM Computing Surveys·2025· 5 cited
Flow Models for Unbounded and Geometry-Aware Distributional Reinforcement Learning
arXiv (Cornell University)·2025Open Access
Estimating Multi-Label Expected Accuracy Using Labelset Distributions
IEEE Transactions on Knowledge and Data Engineering·2025· 1 cited
Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models
arXiv (Cornell University)·2025· 1 citedOpen Access
MEKA: A multi-label/multi-target extension to Weka
Aaltodoc (Aalto University)·2025· 217 citedOpen Access
Determining the Need for Multi-label Classifiers by Measuring Unexplained Covariance
Lecture notes in computer science·2025
Label Cluster Chains for Multi-Label Classification
arXiv (Cornell University)·2024· 1 citedOpen Access
Autoreplicative random forests with applications to missing value imputation
Machine Learning·2024· 1 citedOpen Access
Branches: Efficiently Seeking Optimal Sparse Decision Trees with AO*
arXiv (Cornell University)·2024Open Access
A Survey of Monte Carlo Methods for Noisy and Costly Densities With Application to Reinforcement Learning and ABC
International Statistical Review·2024· 4 cited
Online Learning of Decision Trees with Thompson Sampling
arXiv (Cornell University)·2024Open Access
Backward Inference in Probabilistic Regressor Chains with Distributional Constraints
Lecture notes in computer science·2024
A Historical Context for Data Streams
arXiv (Cornell University)·2023Open Access
From multi-label learning to cross-domain transfer: a model-agnostic approach
Applied Intelligence·2023· 3 citedOpen Access
Uncovering the Spatial and Temporal Variability of Wind Resources in Europe: A Web-Based Data-Mining Tool
arXiv (Cornell University)·2023Open Access
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Frequent Co-authors

Albert Bifet(23), Bernhard Pfahringer(14), Geoffrey Holmes(14), Luca Martino(9), Heitor Murilo Gomes(6), David Luengo(5), Talel Abdessalem(4), Indrė Žliobaitė(4), Jaakko Hollmén(4), Jacob Montiel(3), Fernando Pérez‐Cruz(3), Eibe Frank(2), Jean Paul Barddal(2), Philipp Kranen(2), Hardy Kremer(2), Timm Jansen(2), Thomas Seidl(2), Antti Puurula(2), Fabrício Enembreck(1), Bernhard Pfharinger(1)