Ana Ozaki
Scholar

Ana Ozaki

Google Scholar ID: OLUiO4kAAAAJ
University of Oslo & University of Bergen
Computational Learning TheoryKnowledge Representation
Citations & Impact
All-time
Citations
648
 
H-index
14
 
i10-index
19
 
Publications
20
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • She has given talks at various academic conferences, including KRDB 2021 and NORA AI 2020. Currently, she and her team are working on strategies to learn Horn rules from neural networks by posing queries to them.
Research Experience
  • Currently an Associate Professor at the Department of Informatics, University of Bergen, Norway. She is a member of the editorial boards for the Journal of Machine Learning Research and the Journal of Web Semantics. Recently served as Program Committee Chair for the 27th International Symposium on Temporal Representation and Reasoning.
Background
  • Research interests: Artificial Intelligence (AI), specifically in the areas of knowledge representation and reasoning, and learning theory. Her research focuses on learning logical theories using description logic and related formalisms, with a focus on learnability, complexity, and reducibility.
Miscellany
  • Fascinated by the processes of learning and reasoning and how they interact. Believes that recent advances in machine learning need to be complemented with theoretical development to provide formal guarantees of classification results and make systems trustworthy.