Ghent University Academic Bibliography

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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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Predicting the milk yield curve of dairy cows in the subsequent lactation period using deep learning

Arno Liseune (UGent) , Matthieu Salamone (UGent) , Dirk Van den Poel (UGent) , Bonifacius Van Ranst (UGent) and Miel Hostens (UGent)

(2021) COMPUTERS AND ELECTRONICS IN AGRICULTURE. 180.
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Box office sales and social media : a cross-platform comparison of predictive ability and mechanisms

Matthias Bogaert (UGent) , Michel Ballings, Dirk Van den Poel (UGent) and Asil Oztekin

(2021) DECISION SUPPORT SYSTEMS. 147.
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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 (UGent) , 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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- 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
- open access
Predicting self‐declared movie watching behavior using Facebook data and information‐fusion sensitivity analysis

Matthias Bogaert (UGent) , Michel Ballings, Rob Bergmans and Dirk Van den Poel (UGent)

(2021) DECISION SCIENCES. 52(3). p.776-810
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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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Evaluating the influence of Airbnb listings’ descriptions on demand

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

(2021) INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT. 99.
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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.

Academic Bibliography

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

Predicting the milk yield curve of dairy cows in the subsequent lactation period using deep learning

Box office sales and social media : a cross-platform comparison of predictive ability and mechanisms

Do mobile phone data provide a better denominator in crime rates and improve spatiotemporal predictions of crime?

Predicting donation behavior : acquisition modeling in the nonprofit sector using Facebook data

Predicting self‐declared movie watching behavior using Facebook data and information‐fusion sensitivity analysis

A performance analysis of fault recovery in stream processing frameworks

Influencing factors in the scalability of distributed stream processing jobs

Evaluating the influence of Airbnb listings’ descriptions on demand

Adding interpretability to predictive maintenance by machine learning on sensor data

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