Hendrik Blockeel

Hendrik Blockeel

Katholieke Universiteit Leuven

H-index: 42

Europe-Belgium

About Hendrik Blockeel

Hendrik Blockeel, With an exceptional h-index of 42 and a recent h-index of 21 (since 2020), a distinguished researcher at Katholieke Universiteit Leuven, specializes in the field of Artificial Intelligence, Machine Learning, Data Mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction

Machine Learning with Constraints: Towards Trustworthy AI

Scenario generation of residential electricity consumption through sampling of historical data

AD-MERCS: Modeling Normality and Abnormality in Unsupervised Anomaly Detection

LoCoMotif: Discovering time-warped motifs in time series

Decision trees: from efficient prediction to responsible AI

FeaBI: A Feature Selection-Based Framework for Interpreting KG Embeddings

Estimating Dynamic Time Warping Distance Between Time Series with Missing Data

Hendrik Blockeel Information

University

Position

Department of Computer Science

Citations(all)

11269

Citations(since 2020)

2308

Cited By

9875

hIndex(all)

42

hIndex(since 2020)

21

i10Index(all)

139

i10Index(since 2020)

46

Email

University Profile Page

Katholieke Universiteit Leuven

Google Scholar

View Google Scholar Profile

Hendrik Blockeel Skills & Research Interests

Artificial Intelligence

Machine Learning

Data Mining

Top articles of Hendrik Blockeel

Title

Journal

Author(s)

Publication Date

DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction

Proceedings of the AAAI Conference on Artificial Intelligence

Kshitij Goyal

Sebastijan Dumancic

Hendrik Blockeel

2024/3/24

Machine Learning with Constraints: Towards Trustworthy AI

Kshitij Goyal

Hendrik Blockeel

Sebastijan Dumancic

2023/6/9

Scenario generation of residential electricity consumption through sampling of historical data

Sustainable Energy, Grids and Networks

Jonas Soenen

Aras Yurtman

Thijs Becker

Reinhilde D’hulst

Koen Vanthournout

...

2023/6/1

AD-MERCS: Modeling Normality and Abnormality in Unsupervised Anomaly Detection

arXiv preprint arXiv:2305.12958

Jonas Soenen

Elia Van Wolputte

Vincent Vercruyssen

Wannes Meert

Hendrik Blockeel

2023/5/22

LoCoMotif: Discovering time-warped motifs in time series

arXiv preprint arXiv:2311.17582

Daan Van Wesenbeeck

Aras Yurtman

Wannes Meert

Hendrik Blockeel

2023/11/29

Decision trees: from efficient prediction to responsible AI

Hendrik Blockeel

Laurens Devos

Benoît Frénay

Géraldin Nanfack

Siegfried Nijssen

2023

FeaBI: A Feature Selection-Based Framework for Interpreting KG Embeddings

Youmna Ismaeil

Daria Stepanova

Trung-Kien Tran

Hendrik Blockeel

2023/10/27

Estimating Dynamic Time Warping Distance Between Time Series with Missing Data

Aras Yurtman

Jonas Soenen

Wannes Meert

Hendrik Blockeel

2023/9/18

Towards Neural Network Interpretability Using Commonsense Knowledge Graphs

Youmna Ismaeil

Daria Stepanova

Trung-Kien Tran

Piyapat Saranrittichai

Csaba Domokos

...

2022/10/16

Sade: Learning models that provably satisfy domain constraints

Kshitij Goyal

Sebastijan Dumancic

Hendrik Blockeel

2022/9/1

A scalable ensemble approach to forecast the electricity consumption of households

IEEE Transactions on Smart Grid

Lola Botman

Jonas Soenen

Konstantinos Theodorakos

Aras Yurtman

Jessa Bekker

...

2022/7/15

Unifying knowledge base completion with pu learning to mitigate the observation bias

Proceedings of the AAAI conference on artificial intelligence

Jonas Schouterden

Jessa Bekker

Jesse Davis

Hendrik Blockeel

2022/6/28

Automatic Generation of Product Concepts from Positive Examples, with an Application to Music Streaming

Kshitij Goyal

Wannes Meert

Hendrik Blockeel

Elia Van Wolputte

Koen Vanderstraeten

...

2022/10/4

Lifted Variable Elimination

Nima Taghipour

Daan Fierens

Jesse Davis

Hendrik Blockeel

Rodrigo de Salvo Braz

2021/8/17

The effect of hyperparameter tuning on the comparative evaluation of unsupervised anomaly detection methods

Proceedings of the KDD'21 Workshop on Outlier Detection and Description

Jonas Soenen

Elia Van Wolputte

Lorenzo Perini

Vincent Vercruyssen

Wannes Meert

...

2021/8/15

Combining Predictions Under Uncertainty: The Case of Random Decision Trees

Florian Busch

Moritz Kulessa

Eneldo Loza Mencía

Hendrik Blockeel

2021

COBRAS+: Reusing Previously Obtained Constraints in Active Semi-Supervised Clustering

Aras Yurtman

Wannes Meert

Hendrik Blockeel

2021/11/10

Towards better evaluation of multi-target regression models

Evgeniya Korneva

Hendrik Blockeel

2020/9/14

Tackling noise in active semi-supervised clustering

Jonas Soenen

Sebastijan Dumančić

Toon Van Craenendonck

Hendrik Blockeel

2020/9/14

Feature interactions in xgboost

Kshitij Goyal

Sebastijan Dumancic

Hendrik Blockeel

2020/7/11

See List of Professors in Hendrik Blockeel University(Katholieke Universiteit Leuven)