Unsupervised Embeddings for Categorical Variables. - Hannes De Meulemeester; Bart De Moor (IJCNN, 2020)

The Bures Metric for Taming Mode Collapse in Generative Adversarial Networks. - Hannes De Meulemeester; Joachim Schreurs; Michaël Fanuel; Bart De Moor; Johan A. K. Suykens (CoRR, 2020)

Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks. - Joachim Schreurs; Hannes De Meulemeester; Michaël Fanuel; Bart De Moor; Johan A. K. Suykens (LOD, 2021)

The Bures Metric for Generative Adversarial Networks. - Hannes De Meulemeester; Joachim Schreurs; Michaël Fanuel; Bart De Moor; Johan A. K. Suykens (ECML/PKDD (2), 2021)

Recurrent Restricted Kernel Machines for Time-series Forecasting. - Arun Pandey; Hannes De Meulemeester; Henri De Plaen; Bart De Moor; Johan A. K. Suykens (ESANN, 2022)

Duality in Multi-View Restricted Kernel Machines. - Sonny Achten; Arun Pandey; Hannes De Meulemeester; Bart De Moor; Johan A. K. Suykens (CoRR, 2023)

Multi-view kernel PCA for time series forecasting. - Arun Pandey; Hannes De Meulemeester; Bart De Moor; Johan A. K. Suykens (Neurocomputing, 2023)

Explainable unsupervised anomaly detection for healthcare insurance data. - Hannes De Meulemeester; Frank De Smet; Johan van Dorst; Elise Derroitte; Bart De Moor (BMC Medical Informatics Decis. Mak., 2025)