Extended Version
"Extended Version" papers often present expanded research detailing advancements in diverse fields, from robotics and AI to formal methods and causal inference. Current research focuses on improving efficiency and scalability of algorithms, addressing challenges like handling noisy data, managing large datasets, and ensuring robustness in dynamic environments. These improvements are crucial for advancing practical applications, such as more reliable autonomous systems, efficient data analysis techniques, and improved AI safety and explainability. The overarching goal is to create more robust, efficient, and reliable systems across various domains.
Papers
On the Eve of True Explainability for OWL Ontologies: Description Logic Proofs with Evee and Evonne (Extended Version)
Christian Alrabbaa, Stefan Borgwardt, Tom Friese, Patrick Koopmann, Julián Méndez, Alexej Popovič
Conformance Checking with Uncertainty via SMT (Extended Version)
Paolo Felli, Alessandro Gianola, Marco Montali, Andrey Rivkin, Sarah Winkler