A New Constraint for Mining Sets in Sequences. - Boris Cule; Bart Goethals; Céline Robardet (SDM, 2009)

Mining Association Rules in Long Sequences. - Boris Cule; Bart Goethals (PAKDD (1), 2010)

Mining Train Delays. - Boris Cule; Bart Goethals; Sven Tassenoy; Sabine Verboven (IDA, 2011)

Mining closed episodes with simultaneous events. - Nikolaj Tatti; Boris Cule (KDD, 2011)

Mining closed strict episodes. - Nikolaj Tatti; Boris Cule (Data Min. Knowl. Discov., 2012)

Searching for patterns in long sequences - Boris Cule (2012)

Mining spatially cohesive itemsets in protein molecular structures. - Cheng Zhou; Pieter Meysman; Boris Cule; Kris Laukens; Bart Goethals (BIOKDD, 2013)

Mining Interesting Itemsets in Graph Datasets. - Boris Cule; Bart Goethals; Tayena Hendrickx (PAKDD (1), 2013)

Itemset Based Sequence Classification. - Cheng Zhou; Boris Cule; Bart Goethals (ECML/PKDD (1), 2013)

Mining Cohesive Itemsets in Graphs. - Tayena Hendrickx; Boris Cule; Bart Goethals (Discovery Science, 2014)

MARBLES: Mining association rules buried in long event sequences. - Boris Cule; Nikolaj Tatti; Bart Goethals (Stat. Anal. Data Min., 2014)

Discovery of Spatially Cohesive Itemsets in Three-Dimensional Protein Structures. - Cheng Zhou; Pieter Meysman; Boris Cule; Kris Laukens; Bart Goethals (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

Space-Bounded Query Approximation. - Boris Cule; Floris Geerts; Reuben Ndindi (ADBIS, 2015)

Cohesion based co-location pattern mining. - Cheng Zhou; Boris Cule; Bart Goethals (DSAA, 2015)

Mining Association Rules in Graphs Based on Frequent Cohesive Itemsets. - Tayena Hendrickx; Boris Cule; Pieter Meysman; Stefan Naulaerts; Kris Laukens; Bart Goethals (PAKDD (2), 2015)

Mining the entire Protein DataBank for frequent spatially cohesive amino acid patterns. - Pieter Meysman; Cheng Zhou; Boris Cule; Bart Goethals; Kris Laukens (BioData Min., 2015)

A pattern based predictor for event streams. - Cheng Zhou; Boris Cule; Bart Goethals (Expert Syst. Appl., 2015)

Efficient Discovery of Sets of Co-occurring Items in Event Sequences. - Boris Cule; Len Feremans; Bart Goethals (ECML/PKDD (1), 2016)

Pattern Based Sequence Classification. - Cheng Zhou; Boris Cule; Bart Goethals (IEEE Trans. Knowl. Data Eng., 2016)

Combining Instance and Feature Neighbors for Efficient Multi-label Classification. - Len Feremans; Boris Cule; Celine Vens; Bart Goethals (DSAA, 2017)

Selecting relevant features from the electronic health record for clinical code prediction. - Elyne Scheurwegs; Boris Cule; Kim Luyckx; Léon Luyten; Walter Daelemans (J. Biomed. Informatics, 2017)

Collaborative Filtering for Binary, Positiveonly Data. - Koen Verstrepen; Kanishka Bhaduri; Boris Cule; Bart Goethals (SIGKDD Explor., 2017)

Mining Top-k Quantile-based Cohesive Sequential Patterns. - Len Feremans; Boris Cule; Bart Goethals (SDM, 2018)

Grasping frequent subgraph mining for bioinformatics applications. - Aida Mrzic; Pieter Meysman; Wout Bittremieux; Pieter Moris; Boris Cule; Bart Goethals; Kris Laukens (BioData Min., 2018)

A Sampling-Based Approach for Discovering Subspace Clusters. - Sandy Moens; Boris Cule; Bart Goethals (DS, 2019)

Pattern-Based Anomaly Detection in Mixed-Type Time Series. - Len Feremans; Vincent Vercruyssen; Boris Cule; Wannes Meert; Bart Goethals (ECML/PKDD (1), 2019)

A Framework for Pattern Mining and Anomaly Detection in Multi-dimensional Time Series and Event Logs. - Len Feremans; Vincent Vercruyssen; Wannes Meert; Boris Cule; Bart Goethals (NFMCP@PKDD/ECML, 2019)

On-the-Fly News Recommendation Using Sequential Patterns. - Mozhgan Karimi; Boris Cule; Bart Goethals (INRA@RecSys, 2019)

Efficiently mining cohesion-based patterns and rules in event sequences. - Boris Cule; Len Feremans; Bart Goethals (Data Min. Knowl. Discov., 2019)

Combining instance and feature neighbours for extreme multi-label classification. - Len Feremans; Boris Cule; Celine Vens; Bart Goethals (Int. J. Data Sci. Anal., 2020)

Face in the Game: Using Facial Action Units to Track Expertise in Competitive Video Game Play. - Gianluca Guglielmo; Paris Mavromoustakos Blom; Michal Klincewicz; Boris Cule; Pieter Spronck (CoG, 2022)

PETSC: pattern-based embedding for time series classification. - Len Feremans; Boris Cule; Bart Goethals (Data Min. Knowl. Discov., 2022)

RASCL: a randomised approach to subspace clusters. - Sandy Moens; Boris Cule; Bart Goethals (Int. J. Data Sci. Anal., 2022)

Efficiently Mining Frequent Representative Motifs in Large Collections of Time Series. - Stijn J. Rotman; Boris Cule; Len Feremans (IEEE Big Data, 2023)

Leveraging Sequential Episode Mining for Session-Based News Recommendation. - Mozhgan Karimi; Boris Cule; Bart Goethals (WISE, 2023)

Efficient pattern-based anomaly detection in a network of multivariate devices. - Len Feremans; Boris Cule; Bart Goethals (CoRR, 2023)

Unveiling the Power of ARIMA, Support Vector and Random Forest Regressors for the Future of the Dutch Employment Market. - Piotr Gajewski; Boris Cule; Nevena Rankovic (J. Theor. Appl. Electron. Commer. Res., 2023)

Session-based News Recommendation Using Cohesive Patterns. - Mozhgan Karimi; Len Feremans; Boris Cule; Bart Goethals (IEEE Big Data, 2024)

Expertise Prediction of Tetris Players Using Eye Tracking Information. - Stijn J. Rotman; Gianluca Guglielmo; Boris Cule; Michal Klincewicz (IDA, 2025)