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个人简介
Peter still likes to span a range of disciplines from machine learning and natural computation to complex systems. He loves the challenges brought up by truly cross-disciplinary work and enjoys collaborating with colleagues from around the world. Peter likes teaching. If you prefer the old-style teaching with pen and whiteboard, you are very welcome to his lectures! He believes that everything is teachable if the story behind the material is communicated in the right way.
RESEARCH INTERESTS
Artificial Intelligence, Machine Learning, Statistical Pattern Recognition,
Natural Computation
Computational Models of Dynamical Systems, Evolution of Complexity in Self-Organizing Systems
Fractal and Multifractal Analysis
Knowledge Representation in Connectionist Connectionist Models, Integration of Symbolic and Connectionist Paradigms, Hybrid Systems
RESEARCH INTERESTS
Artificial Intelligence, Machine Learning, Statistical Pattern Recognition,
Natural Computation
Computational Models of Dynamical Systems, Evolution of Complexity in Self-Organizing Systems
Fractal and Multifractal Analysis
Knowledge Representation in Connectionist Connectionist Models, Integration of Symbolic and Connectionist Paradigms, Hybrid Systems
研究兴趣
论文共 307 篇作者统计合作学者相似作者
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arxiv(2024)
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Michael C Burkhart, Liz Y Lee,Delshad Vaghari, An Qi Toh,Eddie Chong,Christopher Chen,Peter Tiňo,Zoe Kourtzi
Scientific reportsno. 1 (2024): 10755-10755
Alessandro Prete, Lida Abdi, Onnicha Suntornlohanakul,Katharina Lang, Roland Veen,Marco Canducci, Julien Riancho, Aida Lazkani,Casper K. Larsen,Anne-Paule Gimenez-Roqueplo,Alessio Pecori,Martina Tetti,
Endocrine Abstracts (2024)
Nature Communicationsno. 1 (2024): 1-18
ROYAL SOCIETY OPEN SCIENCEno. 8 (2023): 221380
IEEE/ACM International Conference on Big Data Computing, Applications and Technologiespp.08:1-08:6, (2023)
Cellsno. 5 (2023): 772-772
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