Holger H. Hoos
Adjunct Professor
Research Interests
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Holger H. Hoos is an Adjunct Professor at The University of British Columbia, Canada. His research interests encompass artificial intelligence, machine learning, and optimization, with recent publications addressing topics such as quantum computing, model interpretability, and robustness in neural network verification. He is actively involved in advancing methodologies for earth observation and improving reproducibility in AI research.
Articles (13)
Year:
2022
Collaborators (9)
Suzanne Marselis
Assistant Professor
Leiden University
Kate Smith-Miles
Professor of Applied Mathematics
University of Melbourne
Devis Tuia
EPFL (École Polytechnique Fédérale de Lausanne)
Begüm Demir
Professor
Technische Universität Berlin
Jan N. van Rijn
Leiden University
Joao Gama
University of Porto
Thomas Bäck
Professor
Leiden University
Marius Lindauer
Full Professor of Machine Learning and Board Member of the Institute of AI
Leibniz University Hannover
Mitra Baratchi
Assistant Professor
Leiden University
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