Ghent University Academic Bibliography

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A deep learning approach to perform defect classification of freeze-dried product

Quentin Hervé (UGent) , Nusret Ipek (UGent) , Jan Verwaeren (UGent) and Thomas De Beer (UGent)

(2025) INTERNATIONAL JOURNAL OF PHARMACEUTICS. 670.
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Hyperparameter optimization of two-branch neural networks in multi-target prediction

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

(2024) APPLIED SOFT COMPUTING. 165.
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- C1
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Shared task for cross-lingual classification of Corporate Social Responsibility (CSR) themes and topics

Yola Nayekoo, Sophia Katrenko, Veronique Hoste (UGent) , Aaron Maladry (UGent) and Els Lefever (UGent)

(2024) Proceedings of the Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services, and the 4th Workshop on Economics and Natural Language Processing. In LREC proceedings p.283-291
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DeepMTP : a Python-based deep learning framework for multi-target prediction

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

(2023) SOFTWAREX. 23.
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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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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

Academic Bibliography

A deep learning approach to perform defect classification of freeze-dried product

Hyperparameter optimization of two-branch neural networks in multi-target prediction

Shared task for cross-lingual classification of Corporate Social Responsibility (CSR) themes and topics

DeepMTP : a Python-based deep learning framework for multi-target prediction

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

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