Holger H. Hoos
About
Holger H. Hoos has authored 148 papers that have received a total of 7.9k indexed citations.
This includes 81 papers in Artificial Intelligence, 43 papers in Computer Networks and Communications and 26 papers in Molecular Biology. The topics of these papers are Distributed Constraint Optimization Problems and Algorithms (38 papers), Machine Learning and Data Classification (29 papers) and Machine Learning and Algorithms (20 papers). Holger H. Hoos is often cited by papers focused on Distributed Constraint Optimization Problems and Algorithms (38 papers), Machine Learning and Data Classification (29 papers) and Machine Learning and Algorithms (20 papers) and collaborates with scholars based in Canada, The Netherlands and Germany. Holger H. Hoos's co-authors include Frank Hutter, Kevin Leyton‐Brown, Thomas Stützle, Anne Condon and Marius Lindauer and has published in prestigious journals such as Nucleic Acids Research, Environmental Science & Technology and Bioinformatics
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