Ghent University Academic Bibliography

Interpretable machine learning models for COPD ease of breathing estimation

Thomas Kok (UGent) , John Morales, Dirk Deschrijver (UGent) , Dolores Blanco-Almazan, Willemijn Groenendaal, David Ruttens, Christophe Smeets, Vojkan Mihajlovic, Femke Ongenae (UGent) and Sofie Van Hoecke (UGent)

(2025) MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING.

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Evaluating visual explanations of attention maps for transformer-based medical imaging

Minjae Chung, Jong Bum Won, Ganghyun Kim, Yujin Kim and Utku Özbulak (UGent)

(2025) Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 Workshops : ISIC 2024, iMIMIC 2024, EARTH 2024, DeCaF 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6–10, 2024, Proceedings. In Lecture notes in computer science (LNCS) 15274. p.110-120

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Journal Article
A1
open access

Interpreting stress detection models using SHAP and attention for MuSe-stress 2022

Homin Park (UGent) , Gang Hyun Kim, Jin Sung Oh, Arnout Van Messem (UGent) and Wesley De Neve (UGent)

(2025) IEEE TRANSACTIONS ON AFFECTIVE COMPUTING. 16(2). p.1031-1043

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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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Conference Paper
C1
open access

Towards interpretable multitask learning for splice site and translation initiation site prediction

Espoir Kabanga (UGent) , Arnout Van Messem (UGent) and Wesley De Neve (UGent)

(2024) Proceedings of the 18th Conference on Computational Intelligence Methods for Bioinformatics & Biostatistics (CIBB 2023).

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Journal Article
A1
open access

There are no minimal essentially undecidable theories

Juvenal Murwanashyaka, Fedor Pakhomov (UGent) and Albert Visser

(2024) JOURNAL OF LOGIC AND COMPUTATION. 34(6). p.1159-1171

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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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Multi-output machine learning models for kinetic data evaluation : a Fischer–Tropsch synthesis case study

Anoop Chakkingal (UGent) , Pieter Janssens (UGent) , Jeroen Poissonnier (UGent) , Mirella Virginie, Andrei Y. Khodakov and Joris Thybaut (UGent)

(2022) CHEMICAL ENGINEERING JOURNAL. 446(4).

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Journal Article
A2
open access

Opportunities and challenges in interpretable deep learning for drug sensitivity prediction of cancer cells

Bikash Ranjan Samal (UGent) , Jens Uwe Loers (UGent) , Vanessa Vermeirssen (UGent) and Katleen De Preter (UGent)

(2022) FRONTIERS IN BIOINFORMATICS. 2.

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On a question of Krajewski's

Fedor Pakhomov (UGent) and Albert Visser

(2019) JOURNAL OF SYMBOLIC LOGIC. 84(1). p.343-358

Academic Bibliography

Interpretable machine learning models for COPD ease of breathing estimation

Evaluating visual explanations of attention maps for transformer-based medical imaging

Interpreting stress detection models using SHAP and attention for MuSe-stress 2022

Evaluating feature attribution methods in the image domain

Towards interpretable multitask learning for splice site and translation initiation site prediction

There are no minimal essentially undecidable theories

Special issue on feature engineering editorial

Multi-output machine learning models for kinetic data evaluation : a Fischer–Tropsch synthesis case study

Opportunities and challenges in interpretable deep learning for drug sensitivity prediction of cancer cells

On a question of Krajewski's

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