8 citations · 11 across the 4 of their papers we have counts for
3 papers · 1 filter
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…
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…
Regional Image Perturbation Reduces Norms of Adversarial Examples While Maintaining Model-to-model Transferability
Utku Ozbulak, Jonathan Peck, Wesley De Neve +3
Regional adversarial attacks often rely on complicated methods for generating adversarial perturbations, making it hard to compare their efficacy against well-known attacks. In thi…