基本信息
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Bio
Martin Binder is currently pursuing the Doctoral degree with the Chair for Statistical Learning and Data Science, Ludwig-Maximilians-Universität München, Munich, Germany.
He is a member of the Munich Center for Machine Learning. He is mostly working on black-box optimization methods for automatic machine learning and hyperparameter optimization, with a focus on multifidelity optimization. He also works on deep learning, specifically self-supervised learning, for genome sequence classification and analysis.
Research Interests
Papers共 22 篇Author StatisticsCo-AuthorSimilar Experts
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Communications biologyno. 1 (2024): 516-516
Communications biologyno. 1 (2024): 625-625
Hueseyin Anil Guenduez,Rene Mreches,Julia Moosbauer,Gary Robertson,Xiao-Yin To,Eric A. Franzosa,Curtis Huttenhower,Mina Rezaei,Alice C. McHardy,Bernd Bischl, Philipp C. Muench,Martin Binder
COMMUNICATIONS BIOLOGYno. 1 (2024)
Research Square (Research Square) (2023)
Amadeu Scheppach, Hueseyin Anil Guenduez,Emilio Dorigatti,Philipp C. Muench,Alice C. McHardy,Bernd Bischl,Mina Rezaei,Martin Binder
2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)pp.181-190, (2023)
Research Square (Research Square) (2023)
CoRR (2023)
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CoRRno. 4 (2022): 16:1-16:50
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Author Statistics
#Papers: 20
#Citation: 357
H-Index: 5
G-Index: 8
Sociability: 4
Diversity: 1
Activity: 22
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