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个人简介
Holger's research is aimed at methodological and technological advances in human-centred AI, AI for Good and AI for All. Specifically, he seeks to improve the efficiency of AI methods, by automatically increasing performance and reducing resource needs; and to broaden access to and use of cutting-edge AI methods. Overall, Holger and his group develop and study AI methods that augment rather than replace human intelligence, and that help human experts to overcome their biases and limitations. Known for his work on machine learning and optimisation methods for the automated design of high-performance algorithms and on stochastic local search, Holger has developed - and vigorously pursues - the paradigm of programming by optimisation (PbO); he is also one of the originators of the concept of automated machine learning (AutoML). Holger has a penchant for work at the boundaries between computing science and other disciplines; much of his work is inspired by and has broad impact on real-world applications.
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论文共 409 篇作者统计合作学者相似作者
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REMOTE SENSINGno. 3 (2024): 443
JOURNAL OF MACHINE LEARNING RESEARCH (2024): 1-53
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AAAI 2024no. 19 (2024): 21267-21275
Artificial Intelligence Reviewno. 5 (2024): 1-88
JOURNAL OF SYSTEMS AND SOFTWARE (2024): 111907
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2023): 106892
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