Ghent University Academic Bibliography

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Multi-target prediction for dummies using two-branch neural networks

Dimitrios Iliadis (UGent) , Bernard De Baets (UGent) and Willem Waegeman (UGent)

(2022) MACHINE LEARNING. 111(2). p.651-684
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Multi-target prediction : a unifying view on problems and methods

Willem Waegeman (UGent) , Krzysztof Dembczyński and Eyke Hüllermeier

(2019) DATA MINING AND KNOWLEDGE DISCOVERY. 33(2). p.293-324
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Multi-label classification using a fuzzy rough neighborhood consensus

Sarah Vluymans (UGent) , Chris Cornelis (UGent) , Francisco Herrera and Yvan Saeys (UGent)

(2018) INFORMATION SCIENCES. 433-434. p.96-114
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- Journal Article
- A1
- open access
On the Bayes-optimality of F-measure maximizers

Willem Waegeman (UGent) , Krzysztof Dembczyński, Arkadiusz Jachnik, Weiwei Cheng and Eyke Hüllermeier

(2014) JOURNAL OF MACHINE LEARNING RESEARCH. 15. p.3333-3388
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- Conference Paper
- C3
Age and gender identification in social media

James Marquardt, Golnoosh Farnadi (UGent) , Gayathri Vasudevan, Marie-Francine Moens, Sergio Davalos, Ankur Teredesai and Martine De Cock (UGent)

(2014) CLEF 2014 working notes.
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On label dependence and loss minimization in multi-label classification

Krzystzof Dembczyński, Willem Waegeman (UGent) , Weiwei Cheng and Eyke Hüllermeier

(2012) MACHINE LEARNING. 88(1-2). p.5-45
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A compared R&D-based and patent-based cross impact analysis for identifying relationships between technologies

Dirk Thorleuchter (UGent) , Dirk Van den Poel (UGent) and Anita Prinzie (UGent)

(2010) TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE. 77(7). p.1037-1050

Academic Bibliography

Multi-target prediction for dummies using two-branch neural networks

Multi-target prediction : a unifying view on problems and methods

Multi-label classification using a fuzzy rough neighborhood consensus

On the Bayes-optimality of F-measure maximizers

Age and gender identification in social media

On label dependence and loss minimization in multi-label classification

A compared R&D-based and patent-based cross impact analysis for identifying relationships between technologies

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