Ghent University Academic Bibliography

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Multi-target prediction in volatolomics with deep neural networks : modeling volatile organic compounds produced by Brochothrix thermosphacta under modified atmospheres

Linyun Chen (UGent) , Lotta Kuuliala (UGent) , Christophe Walgraeve (UGent) , Kristof Demeestere (UGent) , Frank Devlieghere (UGent) and Bernard De Baets (UGent)

(2025) FOOD RESEARCH INTERNATIONAL. 222(part 1).
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Multi-target prediction with deep neural networks in foodomics : a case study on Brochothrix thermosphacta to predict volatile organic compounds linked to fresh meat spoilage

Linyun Chen (UGent) , Lotta Kuuliala (UGent) , Christophe Walgraeve (UGent) , Kristof Demeestere (UGent) , Frank Devlieghere (UGent) and Bernard De Baets (UGent)

(2025) 13th International Conference of Predictive Modelling in Food, Abstracts.
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- Journal Article
- A1
- open access
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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- Journal Article
- A1
- open access
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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- Journal Article
- A1
- open access
Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models

Michiel Stock (UGent) , Krzysztof Dembczynski, Bernard De Baets (UGent) and Willem Waegeman (UGent)

(2016) DATA MINING AND KNOWLEDGE DISCOVERY. 30(5). p.1370-1394

Academic Bibliography

Multi-target prediction in volatolomics with deep neural networks : modeling volatile organic compounds produced by Brochothrix thermosphacta under modified atmospheres

Multi-target prediction with deep neural networks in foodomics : a case study on Brochothrix thermosphacta to predict volatile organic compounds linked to fresh meat spoilage

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

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

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

Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models

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