Willem Waegeman
Orcid: 0000-0002-5950-3003
According to our database1,
Willem Waegeman
authored at least 78 papers
between 2008 and 2025.
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On csauthors.net:
Bibliography
2025
Comput. Biol. Medicine, 2025
2024
A comparison of embedding aggregation strategies in drug-target interaction prediction.
BMC Bioinform., December, 2024
Enhancing Drug-Target Interaction Prediction through Transfer Learning from Activity Cliff Prediction Tasks.
CoRR, 2024
CoRR, 2024
Hyperparameter optimization of two-branch neural networks in multi-target prediction.
Appl. Soft Comput., 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
SoftwareX, July, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Mach. Learn., 2022
On the Difficulty of Epistemic Uncertainty Quantification in Machine Learning: The Case of Direct Uncertainty Estimation through Loss Minimisation.
CoRR, 2022
Set-valued prediction in hierarchical classification with constrained representation complexity.
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods.
Mach. Learn., 2021
Data Min. Knowl. Discov., 2021
CoRR, 2021
Briefings Bioinform., 2021
2020
Algebraic shortcuts for leave-one-out cross-validation in supervised network inference.
Briefings Bioinform., 2020
2019
Data Min. Knowl. Discov., 2019
CoRR, 2019
CoRR, 2019
A hospital wide predictive model for unplanned readmission using hierarchical ICD data.
Comput. Methods Programs Biomed., 2019
Investigating Time Series Classification Techniques for Rapid Pathogen Identification with Single-Cell MALDI-TOF Mass Spectrum Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019
2018
Neural Comput., 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
A non-linear data-driven approach to reveal global vegetation sensitivity to climate.
Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017
Investigating the control of ocean-atmospheric oscillations over global terrestrial evaporation using a simple supervised learning method.
Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017
2016
Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models.
Data Min. Knowl. Discov., 2016
CoRR, 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
2015
Prediction of subacute ruminal acidosis based on milk fatty acids: A comparison of linear discriminant and support vector machine approaches for model development.
Comput. Electron. Agric., 2015
2014
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
Predicting spatio-temporal Culicoides imicola distributions in Spain based on environmental habitat characteristics and species dispersal.
Ecol. Informatics, 2014
A Two-Step Learning Approach for Solving Full and Almost Full Cold Start Problems in Dyadic Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
2013
Efficient regularized least-squares algorithms for conditional ranking on relational data.
Mach. Learn., 2013
Habitat prediction and knowledge extraction for spawning European grayling (Thymallus thymallus L.) using a broad range of species distribution models.
Environ. Model. Softw., 2013
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization.
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
IEEE Trans. Fuzzy Syst., 2012
Mach. Learn., 2012
Learning partial ordinal class memberships with kernel-based proportional odds models.
Comput. Stat. Data Anal., 2012
Proceedings of the Rough Sets and Current Trends in Computing, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the ECAI 2012, 2012
2011
Supervised learning algorithms for multi-class classification problems with partial class memberships.
Fuzzy Sets Syst., 2011
An experimental comparison of cross-validation techniques for estimating the area under the ROC curve.
Comput. Stat. Data Anal., 2011
Artif. Intell., 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
ERA ranking representability: The missing link between ordinal regression and multi-class classification.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
A discussion on the accuracy-complexity relationship in modelling fish habitat preference using genetic Takagi-Sugeno fuzzy systems.
Proceedings of the 5th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2011
Modelling Fish Habitat Preference with a Genetic Algorithm-Optimized Takagi-Sugeno Model Based on Pairwise Comparisons.
Proceedings of the Eurofuse 2011, 2011
2010
Proceedings of the third International Workshop on Machine Learning in Systems Biology, 2010
A transitivity analysis of bipartite rankings in pairwise multi-class classification.
Inf. Sci., 2010
Eur. J. Oper. Res., 2010
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification.
BMC Bioinform., 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the Second World Congress on Nature & Biologically Inspired Computing, 2010
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
Proceedings of the Preference Learning., 2010
2009
2008
Neural Networks, 2008
Comput. Stat. Data Anal., 2008