4 citations · 7 across the 7 of their papers we have counts for
3 papers · 1 filter
Modeling Behavioral Patterns in News Recommendations Using Fuzzy Neural Networks
Kevin Innerebner, Stephan Bartl, Markus Reiter-Haas +1
News recommender systems are increasingly driven by black-box models, offering little transparency for editorial decision-making. In this work, we introduce a transparent recommend…
B-PL-PINN: Stabilizing PINN Training with Bayesian Pseudo Labeling
Kevin Innerebner, Franz M. Rohrhofer, Bernhard C. Geiger
Training physics-informed neural networks (PINNs) for forward problems often suffers from severe convergence issues, hindering the propagation of information from regions where the…
Differentiable Fuzzy Neural Networks for Recommender Systems
Stephan Bartl, Kevin Innerebner, Elisabeth Lex
As recommender systems become increasingly complex, transparency is essential to increase user trust, accountability, and regulatory compliance. Neuro-symbolic approaches that inte…