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个人简介
Martin Atzmueller's research interests include Artificial Intelligence, Knowledge Discovery, Machine Learning, Network Science and Pattern Mining, also with a human-centered data science and system design perspective. His work focuses on how to 'make sense' of complex information and knowledge processes - leveraging the massive amounts of data collected in science and industry by intelligent analytics and semantic interpretation. For instance, this includes the identification of interesting/exceptional patterns and structures, predictive modeling, analysis and exploration of complex heterogeneous and multi-modal data, as well as human-centered decision support. By connecting computational approaches with the human cognitive, behavioral, and social contextual perspectives - thus linking technologies with their users - the goal is to augment human intelligence and to assist human actors in all their purposes, both online and in the physical world.
研究兴趣
论文共 263 篇作者统计合作学者相似作者
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PSYCHOPHYSIOLOGY (2024): 1-15
INDINpp.1-8, (2023)
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Felix Gerschner, Jonas Paul, Lukas Schmid, Nico Barthel, Victor Gouromichos, Florian Schmid,Martin Atzmueller,Andreas Theissler
INDINpp.1-7, (2023)
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2023 IEEE 48th Conference on Local Computer Networks (LCN)pp.1-4, (2023)
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PROCEEDINGS OF THE 2023 EUROPEAN INTERDISCIPLINARY CYBERSECURITY CONFERENCE, EICC 2023pp.153-158, (2023)
K-CAPpp.35-43, (2023)
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2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA)pp.1-2, (2023)
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