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

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

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

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)

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)

Mining cohesive patterns in sequences and extreme multi-label classification - Len Feremans (2020)

A Neighbourhood-based Location- and Time-aware Recommender System. - Len Feremans; Robin Verachtert; Bart Goethals (ORSUM@RecSys, 2022)

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

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

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

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

Pattern-based Time Series Semantic Segmentation with Gradual State Transitions. - Louis Carpentier; Len Feremans; Wannes Meert; Mathias Verbeke (SDM, 2024)