Hendrik Blockeel

ORCID

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 61

Top Venues

CoRR

IJCAI

IDA

Publications

Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint Satisfaction. CoRR (2023)
Lola Botman, Jonas Soenen, Konstantinos Theodorakos, Aras Yurtman, Jessa Bekker, Koen Vanthournout, Hendrik Blockeel, Bart De Moor, Jesus Lago
A Scalable Ensemble Approach to Forecast the Electricity Consumption of Households. IEEE Trans. Smart Grid 14 (1) (2023)
Jonas Soenen, Elia Van Wolputte, Vincent Vercruyssen, Wannes Meert, Hendrik Blockeel
AD-MERCS: Modeling Normality and Abnormality in Unsupervised Anomaly Detection. CoRR (2023)
Aras Yurtman, Jonas Soenen, Wannes Meert, Hendrik Blockeel
Estimating Dynamic Time Warping Distance Between Time Series with Missing Data. ECML/PKDD (5) (2023)
Daan Van Wesenbeeck, Aras Yurtman, Wannes Meert, Hendrik Blockeel
LoCoMotif: Discovering time-warped motifs in time series. CoRR (2023)
Huu Tan Mai, Youmna Ismaeil, Daria Stepanova, Trung-Kien Tran, Hendrik Blockeel
Look beyond the Surface: A Demo for Explaining Knowledge Graph Embeddings and Entity Similarity. ISWC (Posters/Demos/Industry) (2023)
Youmna Ismaeil, Daria Stepanova, Trung-Kien Tran, Hendrik Blockeel
FeaBI: A Feature Selection-Based Framework for Interpreting KG Embeddings. ISWC (2023)
Kshitij Goyal, Wannes Meert, Hendrik Blockeel, Elia Van Wolputte, Koen Vanderstraeten, Wouter Pijpops, Kurt Jaspers
Automatic Generation of Product Concepts from Positive Examples, with an Application to Music Streaming. CoRR (2022)
Florian Busch, Moritz Kulessa, Eneldo Loza Mencía, Hendrik Blockeel
Combining Predictions under Uncertainty: The Case of Random Decision Trees. CoRR (2022)
Youmna Ismaeil, Daria Stepanova, Trung-Kien Tran, Piyapat Saranrittichai, Csaba Domokos, Hendrik Blockeel
Towards Neural Network Interpretability Using Commonsense Knowledge Graphs. ISWC (2022)
Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
SaDe: Learning Models that Provably Satisfy Domain Constraints. ECML/PKDD (5) (2022)
Jonas Schouterden, Jessa Bekker, Jesse Davis, Hendrik Blockeel
Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias. AAAI (2022)
Kshitij Goyal, Wannes Meert, Hendrik Blockeel, Elia Van Wolputte, Koen Vanderstraeten, Wouter Pijpops, Kurt Jaspers
Automatic Generation of Product Concepts from Positive Examples, with an Application to Music Streaming. BNAIC/BENELEARN (2022)
Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
SaDe: Learning Models that Provably Satisfy Domain Constraints. CoRR (2021)
Florian Busch, Moritz Kulessa, Eneldo Loza Mencía, Hendrik Blockeel
Combining Predictions Under Uncertainty: The Case of Random Decision Trees. DS (2021)
Jonas Schouterden, Jesse Davis, Hendrik Blockeel
Multi-directional Rule Set Learning. DS (2020)
Evgeniya Korneva, Hendrik Blockeel
Towards Better Evaluation of Multi-target Regression Models. PKDD/ECML Workshops (2020)
Jonas Soenen, Sebastijan Dumancic, Toon van Craenendonck, Hendrik Blockeel
Tackling Noise in Active Semi-supervised Clustering. ECML/PKDD (2) (2020)
Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
Feature Interactions in XGBoost. CoRR (2020)
Elia Van Wolputte, Hendrik Blockeel
Missing Value Imputation with MERCS: A Faster Alternative to MissForest. DS (2020)
Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel
Learning Relational Representations with Auto-encoding Logic Programs. CoRR (2019)
Jonas Schouterden, Jesse Davis, Hendrik Blockeel
LazyBum: Decision Tree Learning Using Lazy Propositionalization. ILP (2019)
Jonas Schouterden, Jesse Davis, Hendrik Blockeel
LazyBum: Decision tree learning using lazy propositionalization. CoRR (2019)
Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel
Learning Relational Representations with Auto-encoding Logic Programs. IJCAI (2019)
Hendrik Blockeel
Declarative data analysis. Int. J. Data Sci. Anal. 6 (3) (2018)
Leander Schietgat, Celine Vens, Ricardo Cerri, Carlos N. Fischer, Eduardo P. Costa, Jan Ramon, Claudia M. A. Carareto, Hendrik Blockeel
A machine learning based framework to identify and classify long terminal repeat retrotransposons. PLoS Comput. Biol. 14 (4) (2018)
Toon van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel
Interactive Time Series Clustering with COBRASTS. ECML/PKDD (3) (2018)
Toon van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel
COBRAS-TS: A new approach to Semi-Supervised Clustering of Time Series. CoRR (2018)
Toon van Craenendonck, Sebastijan Dumancic, Elia Van Wolputte, Hendrik Blockeel
COBRAS: Fast, Iterative, Active Clustering with Pairwise Constraints. CoRR (2018)
Toon van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel
COBRASTS: A New Approach to Semi-supervised Clustering of Time Series. DS (2018)
Evgeniya Korneva, Hendrik Blockeel
Model Selection for Multi-directional Ensemble of Regression and Classification Trees. BNCAI (2018)
Luc De Raedt, Hendrik Blockeel, Samuel Kolb, Stefano Teso, Gust Verbruggen
Elements of an Automatic Data Scientist. IDA (2018)
Elia Van Wolputte, Evgeniya Korneva, Hendrik Blockeel
MERCS: Multi-Directional Ensembles of Regression and Classification Trees. AAAI (2018)
Toon van Craenendonck, Sebastijan Dumancic, Hendrik Blockeel
COBRA: A Fast and Simple Method for Active Clustering with Pairwise Constraints. CoRR (2018)
Toon van Craenendonck, Sebastijan Dumancic, Elia Van Wolputte, Hendrik Blockeel
COBRAS: Interactive Clustering with Pairwise Queries. IDA (2018)
Sebastijan Dumancic, Hendrik Blockeel
An expressive dissimilarity measure for relational clustering using neighbourhood trees. Mach. Learn. 106 (9-10) (2017)
Hendrik Blockeel
PU-learning Disjunctive Concepts in ILP. ILP (Late Breaking Papers) (2017)
Toon van Craenendonck, Sebastijan Dumancic, Hendrik Blockeel
COBRA: A Fast and Simple Method for Active Clustering with Pairwise Constraints. IJCAI (2017)
Sebastijan Dumancic, Hendrik Blockeel
Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation. IJCAI (2017)
Sebastijan Dumancic, Hendrik Blockeel
Demystifying Relational Latent Representations. ILP (2017)
Toon van Craenendonck, Hendrik Blockeel
Constraint-based clustering selection. Mach. Learn. 106 (9-10) (2017)
Sebastijan Dumancic, Hendrik Blockeel
Demystifying Relational Latent Representations. CoRR (2017)
Sebastijan Dumancic, Hendrik Blockeel
An expressive dissimilarity measure for relational clustering using neighbourhood trees. CoRR (2016)
Gitte Vanwinckelen, Vinicius Tragante do Ó, Daan Fierens, Hendrik Blockeel
Instance-level accuracy versus bag-level accuracy in multi-instance learning. Data Min. Knowl. Discov. 30 (2) (2016)
Leonor Becerra-Bonache, Hendrik Blockeel, María Galván, François Jacquenet
Relational Grounded Language Learning. ECAI (2016)
Sebastijan Dumancic, Hendrik Blockeel
Unsupervised Relational Representation Learning via Clustering: Preliminary Results. CoRR (2016)
Sebastijan Dumancic, Wannes Meert, Hendrik Blockeel
Theory reconstruction: a representation learning view on predicate invention. CoRR (2016)
Toon van Craenendonck, Hendrik Blockeel
Constraint-Based Clustering Selection. CoRR (2016)
Aäron Verachtert, Hendrik Blockeel, Jesse Davis
Dynamic Early Stopping for Naive Bayes. IJCAI (2016)
Leonor Becerra-Bonache, Hendrik Blockeel, María Galván, François Jacquenet
Learning Language Models from Images with ReGLL. ECML/PKDD (3) (2016)
Hossein Rahmani, Hendrik Blockeel, Andreas Bender
Using a Human Drug Network for generating novel hypotheses about drugs. Intell. Data Anal. 20 (1) (2016)
Hendrik Blockeel
Identifying Non-Redundant Literals in Clauses with Uniqueness Propagation. ILP (Short Papers) (2016)
Hendrik Blockeel, Svetlana Valevich
A Simple Framework for Theta-Subsumption Testing in Prolog. ILP (Short Papers) (2016)
Sebastijan Dumancic, Hendrik Blockeel
An Efficient and Expressive Similarity Measure for Relational Clustering Using Neighbourhood Trees. ECAI (2016)
Denny Verbeeck, Hendrik Blockeel
Slower Can Be Faster: The iRetis Incremental Model Tree Learner. IDA (2015)
Hossein Rahmani, Hendrik Blockeel, Andreas Bender
Using a Human Disease Network for augmenting prior knowledge about diseases. Intell. Data Anal. 19 (4) (2015)
Maurice Bruynooghe, Hendrik Blockeel, Bart Bogaerts, Broes De Cat, Stef De Pooter, Joachim Jansen, Anthony Labarre, Jan Ramon, Marc Denecker, Sicco Verwer
. Theory Pract. Log. Program. 15 (6) (2015)
Hendrik Blockeel
Data Mining: From Procedural to Declarative Approaches. New Gener. Comput. 33 (2) (2015)
Toon van Craenendonck, Hendrik Blockeel
Limitations of Using Constraint Set Utility in Semi-Supervised Clustering. MetaSel@PKDD/ECML (2015)
Leonor Becerra-Bonache, Hendrik Blockeel, María Galván, François Jacquenet
A First-Order-Logic Based Model for Grounded Language Learning. IDA (2015)
Antoine Adam, Hendrik Blockeel
Dealing with Overlapping Clustering: A Constraint-based Approach to Algorithm Selection. MetaSel@PKDD/ECML (2015)
Nima Taghipour, Daan Fierens, Jesse Davis, Hendrik Blockeel
Lifted Variable Elimination: Decoupling the Operators from the Constraint Language. CoRR (2014)
Gitte Vanwinckelen, Hendrik Blockeel
Look before you leap: Some insights into learner evaluation with cross-validation. SSDM@ECML/PKDD (2014)
Pan Hu, Celine Vens, Bart Verstrynge, Hendrik Blockeel
Generalizing from Example Clusters. Discovery Science (2013)
Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel
On the Completeness of Lifted Variable Elimination. AAAI Workshop: Statistical Relational Artificial Intelligence (2013)
Pirooz Shamsinejadbabaki, Mohamad Saraee, Hendrik Blockeel
Causality-based cost-effective action mining. Intell. Data Anal. 17 (6) (2013)
Nima Taghipour, Jesse Davis, Hendrik Blockeel
First-order Decomposition Trees. NIPS (2013)
Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel
Completeness Results for Lifted Variable Elimination. AISTATS (2013)
Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
Guest editor's introduction: special issue of the ECML PKDD 2013 journal track. Mach. Learn. 93 (1) (2013)
Eduardo P. Costa, Sicco Verwer, Hendrik Blockeel
Estimating Prediction Certainty in Decision Trees. IDA (2013)
Denny Verbeeck, Francis Maes, Kurt De Grave, Hendrik Blockeel
Multi-objective optimization with surrogate trees. GECCO (2013)
Maurice Bruynooghe, Hendrik Blockeel, Bart Bogaerts, Broes De Cat, Stef De Pooter, Joachim Jansen, Anthony Labarre, Jan Ramon, Marc Denecker, Sicco Verwer
Predicate Logic as a Modeling Language: Modeling and Solving some Machine Learning and Data Mining Problems with IDP3. CoRR (2013)
Nima Taghipour, Daan Fierens, Jesse Davis, Hendrik Blockeel
Lifted Variable Elimination: Decoupling the Operators from the Constraint Language. J. Artif. Intell. Res. 47 (2013)
Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
Guest editor's introduction: special issue of the ECML PKDD 2013 journal track. Data Min. Knowl. Discov. 27 (3) (2013)
Celine Vens, Bart Verstrynge, Hendrik Blockeel
Semi-supervised Clustering with Example Clusters. KDIR/KMIS (2013)
Nima Taghipour, Jesse Davis, Hendrik Blockeel
Generalized Counting for Lifted Variable Elimination. ILP (2013)
Antoine Adam, Hendrik Blockeel, Sander Govers, Abram Aertsen
SCCQL : A Constraint-Based Clustering System. ECML/PKDD (3) (2013)
Robert Brijder, Hendrik Blockeel
On the inference of non-confluent NLC graph grammars. J. Log. Comput. 23 (4) (2013)
Nima Taghipour, Jesse Davis, Hendrik Blockeel
First-Order Decomposition Trees. CoRR (2013)
Nima Taghipour, Daan Fierens, Jesse Davis, Hendrik Blockeel
Lifted Variable Elimination with Arbitrary Constraints. AISTATS (2012)
Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
A Revised Publication Model for ECML PKDD CoRR (2012)
Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes
Experiment databases - A new way to share, organize and learn from experiments. Mach. Learn. 87 (2) (2012)
Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet
An inductive database system based on virtual mining views. Data Min. Knowl. Discov. 24 (1) (2012)
Joris Maervoet, Celine Vens, Greet Vanden Berghe, Hendrik Blockeel, Patrick De Causmaecker
Outlier detection in relational data: A case study in geographical information systems. Expert Syst. Appl. 39 (5) (2012)
Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel
Lifted Variable Elimination: A Novel Operator and Completeness Results CoRR (2012)
Hendrik Blockeel, Bart Bogaerts, Maurice Bruynooghe, Broes De Cat, Stef De Pooter, Marc Denecker, Anthony Labarre, Jan Ramon, Sicco Verwer
Modeling Machine Learning and Data Mining Problems with FO(·). ICLP (Technical Communications) (2012)
Hossein Rahmani, Hendrik Blockeel, Andreas Bender
Predicting Genes Involved in Human Cancer Using Network Contextual Information. J. Integr. Bioinform. 9 (1) (2012)
Werner Uwents, Gabriele Monfardini, Hendrik Blockeel, Marco Gori, Franco Scarselli
Neural networks for relational learning: an experimental comparison. Mach. Learn. 82 (3) (2011)
Beau Piccart, Andy Georges, Hendrik Blockeel, Lieven Eeckhout
Ranking commercial machines through data transposition. IISWC (2011)
Hossein Rahmani, Hendrik Blockeel, Andreas Bender
Collaboration-Based Function Prediction in Protein-Protein Interaction Networks. IDA (2011)
Robert Brijder, Hendrik Blockeel
Characterizing Compressibility of Disjoint Subgraphs with NLC Grammars. LATA (2011)
Beau Piccart, Hendrik Blockeel, Andy Georges, Lieven Eeckhout
Predictive Learning in Two-Way Datasets. ILP (Late Breaking Papers) (2011)
Tijn Witsenburg, Hendrik Blockeel
Improving the Accuracy of Similarity Measures by Using Link Information. ISMIS (2011)
Hendrik Blockeel, Luc Dehaspe, Bart Demoen, Gerda Janssens, Jan Ramon, Henk Vandecasteele
Improving the Efficiency of Inductive Logic Programming Through the Use of Query Packs CoRR (2011)
Tijn Witsenburg, Hendrik Blockeel
K-Means Based Approaches to Clustering Nodes in Annotated Graphs. ISMIS (2011)
Hendrik Blockeel, Karsten M. Borgwardt, Luc De Raedt, Pedro M. Domingos, Kristian Kersting, Xifeng Yan
Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning. Mach. Learn. 83 (2) (2011)
Beau Piccart, Jan Struyf, Hendrik Blockeel
Alleviating the Sparsity Problem in Collaborative Filtering by Using an Adapted Distance and a Graph-Based Method. SDM (2010)
Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe
A comparison of pruning criteria for probability trees. Mach. Learn. 78 (1-2) (2010)
Kristien Van Loon, Fabian Güiza Grandas, Geert Meyfroidt, Jean-Marie Aerts, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe, Greta Van den Berghe, Daniel Berckmans
Prediction of Clinical Conditions after Coronary Bypass Surgery using Dynamic Data Analysis. J. Medical Syst. 34 (3) (2010)
Arno J. Knobbe, Hendrik Blockeel, Arne Koopman, Toon Calders, Bas Obladen, Carlos Bosma, Hessel Galenkamp, Eddy Koenders, Joost N. Kok
InfraWatch: Data Management of Large Systems for Monitoring Infrastructural Performance. IDA (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hendrik Blockeel