Database and Expert Systems Applications - DEXA 2024 Workshops | IWCFS, AISys, CIU, Naples, Italy, August 26–28, 2024, Proceedings | ISBN 9783031683015

Database and Expert Systems Applications - DEXA 2024 Workshops

IWCFS, AISys, CIU, Naples, Italy, August 26–28, 2024, Proceedings

herausgegeben von Bernhard Moser und weiteren
Mitwirkende
Herausgegeben vonBernhard Moser
Herausgegeben vonLukas Fischer
Herausgegeben vonAtif Mashkoor
Herausgegeben vonJohannes Sametinger
Herausgegeben vonAnna-Christina Glock
Herausgegeben vonMichael Mayr
Herausgegeben vonSabrina Luftensteiner
Buchcover Database and Expert Systems Applications - DEXA 2024 Workshops  | EAN 9783031683015 | ISBN 3-031-68301-3 | ISBN 978-3-031-68301-5

Database and Expert Systems Applications - DEXA 2024 Workshops

IWCFS, AISys, CIU, Naples, Italy, August 26–28, 2024, Proceedings

herausgegeben von Bernhard Moser und weiteren
Mitwirkende
Herausgegeben vonBernhard Moser
Herausgegeben vonLukas Fischer
Herausgegeben vonAtif Mashkoor
Herausgegeben vonJohannes Sametinger
Herausgegeben vonAnna-Christina Glock
Herausgegeben vonMichael Mayr
Herausgegeben vonSabrina Luftensteiner

This volume constitutes the refereed proceedings of the workshops held at the 35th International Conference on Database and Expert Systems Applications, DEXA 2024, which took place in Naples, Italy, in August 2024.

The papers included in this book stem from the following workshops:

- 9th International Workshop on Cyber-Security and Functional Safety inCyber-Physical Systems (IWCFS 2024),

- 4th International Workshop on AI SystemEngineering: Math, Modelling and Software (AISys 2024),

- 2nd InternationalWorkshop on Certainty in Uncertainty: Exploring Probabilistic Approaches in AI (CIU2024)

The 10 full papers and 5 short papers were thoroughly reviewed and selected from a total of 24 submissions. They were organized in topical sections as follows: Cyber-security and functional safety in cyber-physical systems; AI system engineering: math, modelling, and software; certainty in uncertainty: exploring probabilistic approaches in AI.