Hendrik Blockeel

UCLouvain — Belgium

Computer Science · Physical Sciences

41h-index7.5kcitations399works0.82yr avg
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Research Topics

Data Mining Algorithms and Applications(118), Bayesian Modeling and Causal Inference(70), Rough Sets and Fuzzy Logic(43), Machine Learning and Data Classification(42), Semantic Web and Ontologies(38)

Publications399 total

Quantitative evaluation of motif sets in time series
Data Mining and Knowledge Discovery·2025
Correction: Steering the LoCoMotif: Using domain knowledge in time series motif discovery
Data Mining and Knowledge Discovery·2025Open Access
Beyond Manual Labels: Unsupervised Graph-Based Explanations for Error Analysis in Image Classifiers
Lecture notes in computer science·2025
Evidence Accumulation as a Combining Rule for Decision Forests
Lecture notes in computer science·2025
Steering the LoCoMotif: Using domain knowledge in time series motif discovery
Data Mining and Knowledge Discovery·2025
Tailored Transformation Invariance for Industrial Anomaly Detection
arXiv (Cornell University)·2025Open Access
Warping and Matching Subsequences Between Time Series
arXiv (Cornell University)·2025Open Access
Steering the LoCoMotif: Using Domain Knowledge in Time Series Motif Discovery
arXiv (Cornell University)·2025Open Access
LinC: Explaining Time Series Clusterings with User-Provided Constraints
Communications in computer and information science·2024· 1 cited
Quantitative Evaluation of Motif Sets in Time Series
arXiv (Cornell University)·2024· 1 citedOpen Access
Fast and interpretable electricity consumption scenario generation for individual consumers
arXiv (Cornell University)·2024Open Access
LoCoMotif: discovering time-warped motifs in time series
Data Mining and Knowledge Discovery·2024· 4 citedOpen Access
DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 5 citedOpen Access
LoCoMotif: Discovering time-warped motifs in time series
arXiv (Cornell University)·2023· 1 citedOpen Access
Decision trees: from efficient prediction to responsible AI
Frontiers in Artificial Intelligence·2023· 169 citedOpen Access
AD-MERCS: Modeling Normality and Abnormality in Unsupervised Anomaly Detection
arXiv (Cornell University)·2023Open Access
DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint Satisfaction
arXiv (Cornell University)·2023Open Access
Scenario generation of residential electricity consumption through sampling of historical data
Sustainable Energy Grids and Networks·2023· 9 citedOpen Access
SaDe: Learning Models that Provably Satisfy Domain Constraints
Lecture notes in computer science·2023· 2 citedOpen Access
Estimating Dynamic Time Warping Distance Between Time Series with Missing Data
Lecture notes in computer science·2023· 3 citedOpen Access
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Frequent Co-authors

Sašo Džeroski(13), Luc De Raedt(10), Jan Ramon(10), Jan Struyf(9), Maurice Bruynooghe(6), Celine Vens(5), Leander Schietgat(4), Bart Demoen(4), Daan Fierens(4), Wim Van Laer(4), Raymond Kosala(3), Siegfried Nijssen(3), Gerda Janssens(3), Henk Vandecasteele(3), Bernhard Pfahringer(3), Anneleen Van Assche(3), Amanda Clare(2), Ashwin Srinivasan(2), Joaquin Vanschoren(2), Kristian Kersting(2)