KU Leuven
Our shared work concerned reasoning and learning when information is incomplete or uncertain; interpreting signals, sensor data and complex events. The linked publications developed these topics through research models, methods and evaluations.
Papers and technical reports
DeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings
2023 · Expert Systems with Applications
Handling epistemic and aleatory uncertainties in probabilistic circuits
2022 · Machine Learning
Increasing Negotiation Performance at the Edge of the Network
2020 · Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)