Ghent University Academic Bibliography

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A multi-module explainable artificial intelligence framework for project risk management : enhancing transparency in decision-making

Bodrunnessa Badhon, Ripon K. Chakrabortty, Sreenatha G. Anavatti and Mario Vanhoucke (UGent)

(2025) ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. 148.
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- Journal Article
- A1
- open access
Tree smoothing : post-hoc regularization of tree ensembles for interpretable machine learning

Bastian Pfeifer, Arne Gevaert (UGent) , Markus Loecher and Andreas Holzinger

(2025) INFORMATION SCIENCES. 690.
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Unraveling genotype–phenotype associations and predictive modeling of outcome in acute myeloid leukemia

Artuur Couckuyt, Sofie Van Gassen (UGent) , Annelies Emmaneel (UGent) , Vince Janda (UGent) , Malicorne Buysse (UGent) , Ine Moors (UGent) , Jan Philippé (UGent) , Mattias Hofmans (UGent) , Tessa Kerre (UGent) , Yvan Saeys (UGent) , et al.

(2025) CYTOMETRY PART B-CLINICAL CYTOMETRY. 108(5). p.366-377
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360 Degrees rumor detection : when explanations got some explaining to do

Bram Janssens (UGent) , Lisa Schetgen (UGent) , Matthias Bogaert (UGent) , Matthijs Meire and Dirk Van den Poel (UGent)

(2024) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 317(2). p.366-381
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Explainability through uncertainty : trustworthy decision-making with neural networks

Arthur Thuy (UGent) and Dries Benoit (UGent)

(2024) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 317(2). p.330-340
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Machine learning and explainable artificial intelligence for the prevention of waterborne cryptosporidiosis and giardiosis

Panagiota Ligda, Nikolaos Mittas, George Z. Kyzas, Edwin Claerebout (UGent) and Smaragda Sotiraki

(2024) WATER RESEARCH. 262.
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- P1
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Handling veracity of SVM predictions

Marcelo Eduardo Loor Romero (UGent) , Ana Tapia Rosero and Guy De Tré (UGent)

(2024) INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS, IPMU 2024, VOL 1. In Lecture Notes in Networks and Systems 1174. p.51-61
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Neural network augmented physics models for systems with partially unknown dynamics : application to slider-crank mechanism

Wannes De Groote (UGent) , Edward Kikken, Erik Hostens, Sofie Van Hoecke (UGent) and Guillaume Crevecoeur (UGent)

(2022) IEEE-ASME TRANSACTIONS ON MECHATRONICS. 27(1). p.103-114
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Towards better concordance among contextualized evaluations in FAST-GDM problems

Marcelo Eduardo Loor Romero (UGent) , Ana Tapia-Rosero and Guy De Tré (UGent)

(2021) MATHEMATICS. 9(1).
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Contextualizing support vector machine predictions

Marcelo Eduardo Loor Romero (UGent) and Guy De Tré (UGent)

(2020) INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS. 13(1). p.1483-1497

Academic Bibliography

A multi-module explainable artificial intelligence framework for project risk management : enhancing transparency in decision-making

Tree smoothing : post-hoc regularization of tree ensembles for interpretable machine learning

Unraveling genotype–phenotype associations and predictive modeling of outcome in acute myeloid leukemia

360 Degrees rumor detection : when explanations got some explaining to do

Explainability through uncertainty : trustworthy decision-making with neural networks

Machine learning and explainable artificial intelligence for the prevention of waterborne cryptosporidiosis and giardiosis

Handling veracity of SVM predictions

Neural network augmented physics models for systems with partially unknown dynamics : application to slider-crank mechanism

Towards better concordance among contextualized evaluations in FAST-GDM problems

Contextualizing support vector machine predictions

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