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Academic Bibliography

Search 200 years of publications by Ghent University researchers.

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1 – 10 of 204 publications

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Your filters: cql: author exact F5C11EE0-F0ED-11E1-A9DE-61C894A0A6B4

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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)

(2022) ANNALS OF OPERATIONS RESEARCH.
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- Research Data
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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- 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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- Book
Hands-On Data Engineering with R, Python and PostgreSQL

Michel Ballings and Dirk Van den Poel (UGent)

(2022)
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Adding interpretability to predictive maintenance by machine learning on sensor data

Bram Steurtewagen (UGent) and Dirk Van den Poel (UGent)

(2021) COMPUTERS & CHEMICAL ENGINEERING. 152.
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- Journal Article
- A1
- open access
Predicting donation behavior : acquisition modeling in the nonprofit sector using Facebook data

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

(2021) DECISION SUPPORT SYSTEMS. 141.
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- Journal Article
- A1
Leveraging sequential information from multivariate behavioral sensor data to predict the moment of calving in dairy cattle using deep learning

Arno Liseune (UGent) , Dirk Van den Poel (UGent) , Peter R. Hut, Frank J.C.M. van Eerdenburg and Miel Hostens (UGent)

(2021) COMPUTERS AND ELECTRONICS IN AGRICULTUR. 191.
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- Journal Article
- A1
- open access
A performance analysis of fault recovery in stream processing frameworks

Giselle van Dongen (UGent) and Dirk Van den Poel (UGent)

(2021) IEEE ACCESS. 9. p.93745-93763
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- Journal Article
- A1
- open access
Influencing factors in the scalability of distributed stream processing jobs

Giselle van Dongen (UGent) and Dirk Van den Poel (UGent)

(2021) IEEE ACCESS. 9. p.109413-109431
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- Journal Article
- A1
- open access
Do mobile phone data provide a better denominator in crime rates and improve spatiotemporal predictions of crime?

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

(2021) ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION. 10(6).

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