Hannes De Meulemeester

According to our database, Hannes De Meulemeester authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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., December, 2025

2023

Multi-view kernel PCA for time series forecasting.

Arun Pandey, Hannes De Meulemeester, Bart De Moor, Johan A. K. Suykens

Neurocomputing, October, 2023

Duality in Multi-View Restricted Kernel Machines.

Sonny Achten, Arun Pandey, Hannes De Meulemeester, Bart De Moor, Johan A. K. Suykens

CoRR, 2023

2022

Recurrent Restricted Kernel Machines for Time-series Forecasting.

Arun Pandey, Hannes De Meulemeester, Henri De Plaen, Bart De Moor, Johan A. K. Suykens

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

The Bures Metric for Generative Adversarial Networks.

Hannes De Meulemeester, Joachim Schreurs, Michaël Fanuel, Bart De Moor, Johan A. K. Suykens

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

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

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

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

Unsupervised Embeddings for Categorical Variables.

Hannes De Meulemeester, Bart De Moor

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020