Ghent University Academic Bibliography

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Maximum causal entropy inverse constrained reinforcement learning

Mattijs Baert (UGent) , Pietro Mazzaglia (UGent) , Sam Leroux (UGent) and Pieter Simoens (UGent)

(2025) MACHINE LEARNING. 114(4).
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- Journal Article
- A1
- open access
Re-assessing accuracy degradation : a framework for understanding DNN behavior on similar-but-non-identical test datasets

Esla Timothy Anzaku (UGent) , Haohan Wang, Ajiboye Babalola, Arnout Van Messem (UGent) and Wesley De Neve (UGent)

(2025) MACHINE LEARNING. 114(3).
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PerfoRank : cluster-based performance ranking for improved performance evaluation and estimation in professional cycling

Bram Janssens (UGent) and Matthias Bogaert (UGent)

(2025) MACHINE LEARNING. 114(1).
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- Journal Article
- A1
- open access
Evaluating feature attribution methods in the image domain

Arne Gevaert (UGent) , Axel-Jan Rousseau, Thijs Becker, Dirk Valkenborg, Tijl De Bie (UGent) and Yvan Saeys (UGent)

(2024) MACHINE LEARNING. 113. p.6019-6064
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Hellinger distance decision trees for PU learning in imbalanced data sets

Carlos Ortega Vázquez, Seppe vanden Broucke (UGent) and Jochen De Weerdt

(2024) MACHINE LEARNING. 113(7). p.4547-4578
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Forecasting directional bitcoin price returns using aspect-based sentiment analysis on online text data

Ekaterina Loginova, Wai Kit Tsang, Guus van Heijningen, Louis-Philippe Kerkhove and Dries Benoit (UGent)

(2024) MACHINE LEARNING. 113. p.4761-4784
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- Journal Article
- A1
- open access
Inverse reinforcement learning through logic constraint inference

Mattijs Baert (UGent) , Sam Leroux (UGent) and Pieter Simoens (UGent)

(2023) MACHINE LEARNING. 112(7). p.2593-2618
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- Miscellaneous
Special issue on feature engineering editorial

Tim Verdonck, Bart Baesens, María Óskarsdóttir and Seppe vanden Broucke (UGent)

(2023) MACHINE LEARNING. 113(7). p.3917-3928
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- Journal Article
- A1
- open access
Optimised one-class classification performance

Oliver Urs Lenz (UGent) , Daniel Peralta (UGent) and Chris Cornelis (UGent)

(2022) MACHINE LEARNING. 111(8). p.2863-2883
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Multi-target prediction for dummies using two-branch neural networks

Dimitrios Iliadis (UGent) , Bernard De Baets (UGent) and Willem Waegeman (UGent)

(2022) MACHINE LEARNING. 111(2). p.651-684

Academic Bibliography

Maximum causal entropy inverse constrained reinforcement learning

Re-assessing accuracy degradation : a framework for understanding DNN behavior on similar-but-non-identical test datasets

PerfoRank : cluster-based performance ranking for improved performance evaluation and estimation in professional cycling

Evaluating feature attribution methods in the image domain

Hellinger distance decision trees for PU learning in imbalanced data sets

Forecasting directional bitcoin price returns using aspect-based sentiment analysis on online text data

Inverse reinforcement learning through logic constraint inference

Special issue on feature engineering editorial

Optimised one-class classification performance

Multi-target prediction for dummies using two-branch neural networks

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