Ghent University Academic Bibliography

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Explainability through uncertainty : trustworthy decision-making with neural networks

Arthur Thuy (UGent) and Dries Benoit (UGent)

(2024) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH.
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A hybrid forecasting model to predict the duration and cost performance of projects with Bayesian Networks

Izel Ünsal Altuncan (UGent) and Mario Vanhoucke (UGent)

(2024) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 315(2). p.511-527
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A genetic algorithm with resource buffers for the resource-constrained multi-project scheduling problem

Dries Bredael (UGent) and Mario Vanhoucke (UGent)

(2024) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 315(2). p.19-34
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Analysis of the impact of corrective actions for stochastic project networks

Forough Vaseghi (UGent) , Annelies Martens (UGent) and Mario Vanhoucke (UGent)

(2024) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 316(2). p.503-518
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360 Degrees rumor detection : when explanations got some explaining to do

Bram Janssens (UGent) , Lisa Schetgen (UGent) , Matthias Bogaert (UGent) , Matthijs Meire and Dirk Van den Poel (UGent)

(2024) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH.
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The international timetabling competition on sports timetabling (ITC2021)

David Van Bulck (UGent) and Dries Goossens (UGent)

(2023) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 308(3). p.1249-1267
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A classification and new benchmark instances for the multi-skilled resource-constrained project scheduling problem

Jakob Snauwaert (UGent) and Mario Vanhoucke (UGent)

(2023) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 307(1). p.1-19
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A traditional Benders’ approach to sports timetabling

David Van Bulck (UGent) and Dries Goossens (UGent)

(2023) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 307(2). p.813-826
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Capturing complexity over space and time via deep learning : an application to real-time delay prediction in railways

Léon Sobrie (UGent) , Marijn Verschelde (UGent) , Veerle Hennebel and Bart Roets (UGent)

(2023) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 310(3). p.1201-1217
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Multi-project scheduling : a benchmark analysis of metaheuristic algorithms on various optimisation criteria and due dates

Dries Bredael (UGent) and Mario Vanhoucke (UGent)

(2023) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 308(1). p.54-75

Academic Bibliography

Explainability through uncertainty : trustworthy decision-making with neural networks

A hybrid forecasting model to predict the duration and cost performance of projects with Bayesian Networks

A genetic algorithm with resource buffers for the resource-constrained multi-project scheduling problem

Analysis of the impact of corrective actions for stochastic project networks

360 Degrees rumor detection : when explanations got some explaining to do

The international timetabling competition on sports timetabling (ITC2021)

A classification and new benchmark instances for the multi-skilled resource-constrained project scheduling problem

A traditional Benders’ approach to sports timetabling

Capturing complexity over space and time via deep learning : an application to real-time delay prediction in railways

Multi-project scheduling : a benchmark analysis of metaheuristic algorithms on various optimisation criteria and due dates

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