Ghent University Academic Bibliography

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Proceedings of the Fourteenth International Symposium on Imprecise Probabilities : Theories and Applications

Sébastien Destercke, Alexander Erreygers (UGent) , Max Nendel, Frank Riedel and Matthias C. M. Troffaes

(2025) PROCEEDINGS OF MACHINE LEARNING RESEARCH. 290.
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ABCFair : an adaptable benchmark approach for comparing fairness methods

Marybeth Defrance (UGent) , Maarten Buyl (UGent) and Tijl De Bie (UGent)

(2025) PROCEEDINGS OF MACHINE LEARNING RESEARCH. 294. p.383-388
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A convenient characterisation of convergent upper transition operators

Jasper De Bock (UGent) , Alexander Erreygers (UGent) and Floris Persiau (UGent)

(2025) INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITIES: THEORIES AND APPLICATIONS. In Proceedings of Machine Learning Research 290. p.115-125
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Robustness quantification : a new method for assessing the reliability of the predictions of a classifier

Adrian Detavernier (UGent) and Jasper De Bock (UGent)

(2025) INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITIES: THEORIES AND APPLICATIONS. In Proceedings of machine learning research 290. p.126-136
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Conditioning and AGM-like belief change in the Desirability-Indifference framework

Kathelijne Coussement (UGent) , Gert de Cooman (UGent) and Keano De Vos (UGent)

(2025) INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITIES: THEORIES AND APPLICATIONS. In Proceedings of machine learning research 290. p.82-92
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Loop closure with a low power millimeter wave radar sensor using an autoencoder

Pieter Meiresone (UGent) , David Van Hamme (UGent) and Wilfried Philips (UGent)

(2024) NORTHERN LIGHTS DEEP LEARNING CONFERENCE, VOL 233. In Proceedings of Machine Learning Research 233. p.153-157
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Accelerating Hopfield network dynamics : beyond synchronous updates and forward Euler

Cédric Goemaere (UGent) , Johannes Deleu (UGent) and Thomas Demeester (UGent)

(2024) 1ST ECAI WORKSHOP ON MACHINE LEARNING MEETS DIFFERENTIAL EQUATIONS : FROM THEORY TO APPLICATIONS. In Proceedings of Machine Learning Research 255.
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Conformal predictive systems under covariate shift

Jef Jonkers (UGent) , Glenn Van Wallendael (UGent) , Luc Duchateau (UGent) and Sofie Van Hoecke (UGent)

(2024) 13TH SYMPOSIUM ON CONFORMAL AND PROBABILISTIC PREDICTION WITH APPLICATIONS. In Proceedings of Machine Learning Research 230. p.406-423
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A theory of desirable things

Jasper De Bock (UGent)

(2023) Proceedings of Machine Learning Research. In Proceedings of Machine Learning Research 215. p.141-152
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Imprecision in martingale-theoretic prequential randomness

Floris Persiau (UGent) and Gert de Cooman (UGent)

(2023) Proceedings of Machine Learning Research. In Proceedings of Machine Learning Research 215. p.390-400

Academic Bibliography

Proceedings of the Fourteenth International Symposium on Imprecise Probabilities : Theories and Applications

ABCFair : an adaptable benchmark approach for comparing fairness methods

A convenient characterisation of convergent upper transition operators

Robustness quantification : a new method for assessing the reliability of the predictions of a classifier

Conditioning and AGM-like belief change in the Desirability-Indifference framework

Loop closure with a low power millimeter wave radar sensor using an autoencoder

Accelerating Hopfield network dynamics : beyond synchronous updates and forward Euler

Conformal predictive systems under covariate shift

A theory of desirable things

Imprecision in martingale-theoretic prequential randomness

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