43 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Ghent UniversityBE5 papers
- Ghent University HospitalBE3 papers
- Barcelona Supercomputing CenterES2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Universitat Politècnica de CatalunyaES2 papers
- University of FreiburgDE2 papers
- University of ManchesterGB2 papers
- Alexander Fleming Biomedical Sciences Research CenterGR1 paper
- Athena Research and Innovation Center In Information Communication & Knowledge TechnologiesGR1 paper
- Center for Advanced Studies Research and Development in SardiniaIT1 paper
- Centre for Research and Technology HellasGR1 paper
- European Bioinformatics InstituteGB1 paper
8 papers
Open and Sustainable AI: challenges, opportunities and the road ahead in the life sciences (October 2025 -- Version 2)
Gavin Farrell, Eleni Adamidi, Rafael Andrade Buono +27
Artificial intelligence (AI) has recently seen transformative breakthroughs in the life sciences, expanding possibilities for researchers to interpret biological information at an…
Feature Subset Weighting for Distance-based Supervised Learning through Choquet Integration
Adnan Theerens, Yvan Saeys, Chris Cornelis
This paper introduces feature subset weighting using monotone measures for distance-based supervised learning. The Choquet integral is used to define a distance metric that incorpo…
WorkflowHub: a registry for computational workflows
Ove Johan Ragnar Gustafsson, Sean R. Wilkinson, Finn Bacall +12
The rising popularity of computational workflows is driven by the need for repetitive and scalable data processing, sharing of processing know-how, and transparent methods. As both…
Revised Conditional t-SNE: Looking Beyond the Nearest Neighbors
Edith Heiter, Bo Kang, Ruth Seurinck +1
Conditional t-SNE (ct-SNE) is a recent extension to t-SNE that allows removal of known cluster information from the embedding, to obtain a visualization revealing structure beyond…
Average Localised Proximity: A new data descriptor with good default one-class classification performance
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
One-class classification is a challenging subfield of machine learning in which so-called data descriptors are used to predict membership of a class based solely on positive exampl…
Bayesian Deconvolution of Scanning Electron Microscopy Images Using Point-spread Function Estimation and Non-local Regularization
Joris Roels, Jan Aelterman, Jonas De Vylder +3
Microscopy is one of the most essential imaging techniques in life sciences. High-quality images are required in order to solve (potentially life-saving) biomedical research proble…
Convolutional Neural Network Pruning to Accelerate Membrane Segmentation in Electron Microscopy
Joris Roels, Jonas De Vylder, Jan Aelterman +2
Biological membranes are one of the most basic structures and regions of interest in cell biology. In the study of membranes, segment extraction is a well-known and difficult probl…
On the use of convolutional neural networks for robust classification of multiple fingerprint captures
Daniel Peralta, Isaac Triguero, Salvador García +3
Fingerprint classification is one of the most common approaches to accelerate the identification in large databases of fingerprints. Fingerprints are grouped into disjoint classes,…