Ghent University Academic Bibliography

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A coevolutionary approach for optimizing interpretable rule ensembles

Simon De Lange (UGent) , Matthias Bogaert (UGent) , Koen W. De Bock and Dirk Van den Poel (UGent)

(2026) ORBEL 40 : 40th annual conference of the Belgian Operational Research Society, Booklet of abstracts. p.72-73
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- C1
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LLM-assisted topic reduction for BERTopic on social media data

Wannes Janssens (UGent) , Matthias Bogaert (UGent) and Dirk Van den Poel (UGent)

(2026) International Workshops of ECML PKDD 2025, Porto, Portugal, September 15–19, 2025. In Communications in Computer and Information Science
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Towards proactive maintenance of split-system air conditioners using sensor data

Yaël De Rocker (UGent) , Matthias Bogaert (UGent) and Dirk Van den Poel (UGent)

(2026) Flanders Make Scientific Conference, Abstracts.
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Making sense of BERTopic : a deep dive into topic reduction techniques

Wannes Janssens (UGent) , Matthias Bogaert (UGent) and Dirk Van den Poel (UGent)

(2025) Joint ORBEL-NGB Conference, Booklet of Abstracts. p.187-188
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Predicting and explaining post-repair machine failures using machine learning on warranty data

Wannes Janssens (UGent) , Yaël De Rocker (UGent) , Brammert Termont (UGent) , Matthias Bogaert (UGent) and Dirk Van den Poel (UGent)

(2025) Flanders Make Scientific Conference, Abstracts.
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The dual quest for interpretability and performance in credit scoring via spline-rule ensembles

Simon De Lange (UGent) , Matthias Bogaert (UGent) , Koen W. De Bock and Dirk Van den Poel (UGent)

(2025) Joint ORBEL-NGB Conference, Booklet of Abstracts. p.144-145
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The dual quest for interpretability and performance in credit scoring via spline-rule ensembles

Simon De Lange (UGent) , Matthias Bogaert (UGent) , Koen W. De Bock and Dirk Van den Poel (UGent)

(2025) Abstracts of the 19th iteration of the Credit Scoring and Credit Control conference.
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Leveraging sensor data for fault detection in split-system air conditioners

Yaël De Rocker (UGent) , Matthias Bogaert (UGent) and Dirk Van den Poel (UGent)

(2025) 56th Annual Conference of the Decision Sciences Institute, Abstracts.
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Comparing Deep Learning Models and LLMs for airport sentiment analysis on Twitter data

Dirk Van den Poel (UGent) , Maxim Devriendt and Valentin Janclaes

(2025) 2025 INFORMS Annual Meeting, book of abstracts.
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A comparative analysis of topic reduction techniques for BERTopic

Wannes Janssens (UGent) , Matthias Bogaert (UGent) and Dirk Van den Poel (UGent)

(2025) IEEE ACCESS. 13. p.204087-204103
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Customer experiences and coping behaviors during crisis situations : the role of service adaptation and service transformation

Bart Larivière (UGent) , Lisa Schetgen (UGent) , Matthias Bogaert (UGent) and Dirk Van den Poel (UGent)

(2025) JOURNAL OF BUSINESS RESEARCH. 188.
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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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Hands-on data engineering with R, Python and PostgreSQL

Michel Ballings and Dirk Van den Poel (UGent)

(2024)
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B2Boost : instance-dependent profit-driven modelling of B2B churn

Bram Janssens (UGent) , Matthias Bogaert (UGent) , Astrid Bagué and Dirk Van den Poel (UGent)

(2024) ANNALS OF OPERATIONS RESEARCH. 341. p.267-293
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- Miscellaneous
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Over hoe mobiele-telefoondata bijdragen aan de verbetering van criminaliteitsratio’s en de voorspelling van criminaliteit in tijd en ruimte

Thom Snaphaan (UGent) , Anneleen Rummens, Nico Van de Weghe (UGent) , Dirk Van den Poel (UGent) , Lieven Pauwels (UGent) and Wim Hardyns (UGent)

(2023)
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A longitudinal time series analysis of celebrity chef popularity and its relation to household purchases : a potential game changer for health promoting campaigns?

Viktor Proesmans (UGent) , Dirk Van den Poel (UGent) , Iris Vermeir (UGent) and Maggie Geuens (UGent)

(2023) International Society of Behavioural Nutrition and Physical Activity (ISBNPA) Annual Meeting 2023 Abstract Book. In ISBNPA Annual meeting abstract book p.753-753
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- Journal Article
- A2
Hoe mobiele-telefoondata bijdragen aan de verbetering van criminaliteitsratio’s en de voorspelling van criminaliteit in tijd en ruimte

Thom Snaphaan (UGent) , Anneleen Rummens, Nico Van de Weghe (UGent) , Dirk Van den Poel (UGent) , Lieven Pauwels (UGent) and Wim Hardyns (UGent)

(2023) TIJDSCHRIFT VOOR VEILIGHEID. 22(4). p.34-62
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- Research Data
Amazon Rainforest Wildfires Rumor Detection

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

(2022)
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COVID19 Rumor Detection

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

(2022)
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- C3
Investigating parallel implementations of genetic algorithms for stochastic part-of-speech tagging

Shimanto Rahman (UGent) , Matthias Bogaert (UGent) and Dirk Van den Poel (UGent)

(2022) EURO 2022 : conference handbook and abstracts : 32nd European Conference on Operational Research (EURO XXXII). p.176-176

Academic Bibliography

A coevolutionary approach for optimizing interpretable rule ensembles

LLM-assisted topic reduction for BERTopic on social media data

Towards proactive maintenance of split-system air conditioners using sensor data

Making sense of BERTopic : a deep dive into topic reduction techniques

Predicting and explaining post-repair machine failures using machine learning on warranty data

The dual quest for interpretability and performance in credit scoring via spline-rule ensembles

The dual quest for interpretability and performance in credit scoring via spline-rule ensembles

Leveraging sensor data for fault detection in split-system air conditioners

Comparing Deep Learning Models and LLMs for airport sentiment analysis on Twitter data

A comparative analysis of topic reduction techniques for BERTopic

Customer experiences and coping behaviors during crisis situations : the role of service adaptation and service transformation

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

Hands-on data engineering with R, Python and PostgreSQL

B2Boost : instance-dependent profit-driven modelling of B2B churn

Over hoe mobiele-telefoondata bijdragen aan de verbetering van criminaliteitsratio’s en de voorspelling van criminaliteit in tijd en ruimte

A longitudinal time series analysis of celebrity chef popularity and its relation to household purchases : a potential game changer for health promoting campaigns?

Hoe mobiele-telefoondata bijdragen aan de verbetering van criminaliteitsratio’s en de voorspelling van criminaliteit in tijd en ruimte

Amazon Rainforest Wildfires Rumor Detection

COVID19 Rumor Detection

Investigating parallel implementations of genetic algorithms for stochastic part-of-speech tagging

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