Ghent University Academic Bibliography

Your filters: cql: author="Baesens, Bart" or (type any "bookEditor issueEditor" and editor="Baesens, Bart")

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- Journal Article
- A1
- open access
Explainable deep learning to classify royal navy ships

Bart Baesens, Amy Adams, Rodrigo Pacheco-Ruiz, Ann-Sophie Baesens and Seppe vanden Broucke (UGent)

(2024) IEEE ACCESS. 12. p.1774-1785
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Evaluating text classification : a benchmark study

Manon Reusens, Alexander Stevens, Jonathan Tonglet, Johannes De Smedt, Wouter Verbeke, Seppe vanden Broucke (UGent) and Bart Baesens

(2024) EXPERT SYSTEMS WITH APPLICATIONS. 254.
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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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- Miscellaneous
Benchmark study for Flemish twitter sentiment analysis

Manon Reusens, Michael Reusens, Marc Callens (UGent) , Seppe vanden Broucke (UGent) and Bart Baesens

(2022) SOCIAL SCIENCE RESEARCH NETWORK.
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Deep learning for credit scoring : do or don’t?

Björn Rafn Gunnarsson, Seppe vanden Broucke (UGent) , Bart Baesens, María Óskarsdóttir and Wilfried Lemahieu

(2021) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 295(1). p.292-305
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Expert-driven trace clustering with instance-level constraints

Pieter De Koninck, Klaas Nelissen, Seppe vanden Broucke (UGent) , Bart Baesens, Monique Snoeck and Jochen De Weerdt

(2021) KNOWLEDGE AND INFORMATION SYSTEMS. 63(5). p.1197-1220
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A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs

Jochen De Weerdt, Manu De Backer (UGent) , Jan Vanthienen and Bart Baesens

(2012) INFORMATION SYSTEMS. 37(7). p.654-676
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Benchmarking regression algorithms for loss given default modeling

Gert Loterman (UGent) , Iain Brown, David Martens, Christophe Mues and Bart Baesens

(2012) INTERNATIONAL JOURNAL OF FORECASTING. 28(1). p.161-170
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- Conference Paper
- C1
- open access
A Robust F-measure for evaluating discovered process models

Jochen De Weerdt, Manu De Backer (UGent) , Jan Vanthienen and Bart Baesens

(2011) IEEE Symposium series on computational intelligence. p.148-155
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- Conference Paper
- C3
A heuristic rule evaluation function for AntMiner+

Bart Minnaert (UGent) , David Martens and Bart Baesens

(2010) OR52 Annual Conference, Abstracts.

Academic Bibliography

Explainable deep learning to classify royal navy ships

Evaluating text classification : a benchmark study

Special issue on feature engineering editorial

Benchmark study for Flemish twitter sentiment analysis

Deep learning for credit scoring : do or don’t?

Expert-driven trace clustering with instance-level constraints

A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs

Benchmarking regression algorithms for loss given default modeling

A Robust F-measure for evaluating discovered process models

A heuristic rule evaluation function for AntMiner+

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