Tackling Noise in Active Semi-supervised Clustering. - Jonas Soenen; Sebastijan Dumancic; Toon van Craenendonck; Hendrik Blockeel (ECML/PKDD (2), 2020)

LinC: Explaining Time Series Clusterings with User-Provided Constraints. - Simiao Lin; Aras Yurtman; Jonas Soenen; Hendrik Blockeel (PKDD/ECML Workshops (3), 2023)

Estimating Dynamic Time Warping Distance Between Time Series with Missing Data. - Aras Yurtman; Jonas Soenen; Wannes Meert; Hendrik Blockeel (ECML/PKDD (5), 2023)

AD-MERCS: Modeling Normality and Abnormality in Unsupervised Anomaly Detection. - Jonas Soenen; Elia Van Wolputte; Vincent Vercruyssen; Wannes Meert; Hendrik Blockeel (CoRR, 2023)

A Scalable Ensemble Approach to Forecast the Electricity Consumption of Households. - Lola Botman; Jonas Soenen; Konstantinos Theodorakos; Aras Yurtman; Jessa Bekker; Koen Vanthournout; Hendrik Blockeel; Bart De Moor; Jesus Lago (IEEE Trans. Smart Grid, 2023)

Fast and interpretable electricity consumption scenario generation for individual consumers. - Jonas Soenen; Aras Yurtman; Thijs Becker; Koen Vanthournout; Hendrik Blockeel (CoRR, 2024)