8 citations · 23 across the 14 of their papers we have counts for
17 papers
Patch-based Querying Identifies Structures of Interest in Electron Microscopy
Niels Vyncke, Nicolas Nadisic, Yvan Saeys +1
Volume electron microscopy (vEM) has emerged as an essential sensing technique in biomedical research, allowing the three-dimensional imaging of biological cells and tissues at nan…
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…
GroupEnc: encoder with group loss for global structure preservation
David Novak, Sofie Van Gassen, Yvan Saeys
Recent advances in dimensionality reduction have achieved more accurate lower-dimensional embeddings of high-dimensional data. In addition to visualisation purposes, these embeddin…
Topologically Regularized Data Embeddings
Edith Heiter, Robin Vandaele, Tijl De Bie +2
Unsupervised representation learning methods are widely used for gaining insight into high-dimensional, unstructured, or structured data. In some cases, users may have prior topolo…
Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems
Arne Gevaert, Jonathan Peck, Yvan Saeys
Deep Reinforcement Learning uses a deep neural network to encode a policy, which achieves very good performance in a wide range of applications but is widely regarded as a black bo…
PDD-SHAP: Fast Approximations for Shapley Values using Functional Decomposition
Arne Gevaert, Yvan Saeys
Because of their strong theoretical properties, Shapley values have become very popular as a way to explain predictions made by black box models. Unfortuately, most existing techni…