DX 2024 (series) /
Awards
Also, this year, there will be a best paper award bestowed at DX. Based on the reviews from our program committee, we singled out the following four candidate papers.
- Challenges for Model-Based Diagnosis, by Ingo Pill and Johan de Kleer
- MSO sets and MTES for dummies, by Maxence Glotin, Louise Travé-Massuyès and Elodie Chanthery
- A Study on Redundancy and Intrinsic Dimension for Data-Driven Fault Diagnosis, by Daniel Jung and David Axelsson
- Diagnosing Multi-Agent STRIPS Plans, by Avraham Natan, Roni Stern, Meir Kalech, William Yeoh and Tran Cao Son
We congratulate all the authors of the best paper award candidates on their paper getting nominated!
After further evaluation, two papers were chosen to receive the best paper award:
- A Study on Redundancy and Intrinsic Dimension for Data-Driven Fault Diagnosis, by Daniel Jung and David Axelsson
- Diagnosing Multi-Agent STRIPS Plans, by Avraham Natan, Roni Stern, Meir Kalech, William Yeoh and Tran Cao Son
We congratulate all the authors of the best paper award winners!