基本信息
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职业迁徙
个人简介
I am interested in everything related to making sense out of (large, heterogeneous) data sources. In particular, I am interested in methods from AI (rule learning, neural networks, fuzzy logic, general machine learning) but always try to keep the models interpretable. Preferred are problems where the user needs to be kept in the loop in order to find truly interesting stuff. I call all of this "Knowledge Discovery Support". More recently, David Krakauer coined the term "Intelligible Data Analysis" (IDA), which captures the essence of what we are after rather well, too. Either way, problems from the life science domain are often the underlying driver since they are enormously good at creating amazing data repositories but have huge problems trying to make sense out of them or even coming up with useful questions to ask. Ultimately, the methods we develop should help to "spark (new) ideas"!
研究兴趣
论文共 285 篇作者统计合作学者相似作者
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Gabriel J. Selzer,Curtis T. Rueden,Mark C. Hiner,Edward L. Evans III, David Kolb,Marcel Wiedenmann, Christian Birkhold, Tim-Oliver Buchholz,Stefan Helfrich, Brian Northan, Alison Walter,Johannes Schindelin,Tobias Pietzsch,Stephan Saalfeld,Michael R. Berthold,Kevin W. Eliceiri
CoRR (2024)
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Advances in Intelligent Data Analysis XXI (2023): 55-64
user-5fe1a78c4c775e6ec07359f9(2021)
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Texts in computer sciencepp.25-32, (2020)
Texts in computer science (2020)
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Lecture Notes in Computer Science (2020)
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user-5fe1a78c4c775e6ec07359f9(2020)
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user-5fe1a78c4c775e6ec07359f9(2020)
Texts in Computer Science (2020)
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作者统计
#Papers: 283
#Citation: 11215
H-Index: 36
G-Index: 98
Sociability: 7
Diversity: 1
Activity: 1
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