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Bio
His main research area is Statistical Learning Theory, but his contributions range from Neural Networks, to Machine Learning, to Graph Theory. He has coordinated a number of European wide projects investigating the theory and practice of Machine Learning, including the NeuroCOLT projects. He was the scientific coordinator of a Framework 7 Network of Excellence in Pattern Analysis, Statistical Modelling and Computational Learning (PASCAL2) involving over 50 partners. He is co-author of two highly cited books on kernel methods and support vector machines. He is author of over 300 papers.
Research Interests
Papers共 561 篇Author StatisticsCo-AuthorSimilar Experts
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Yuxiang Qiu, Karim Djemili, Denis Elezi, Aaneel Shalman Srazali,María Pérez-Ortiz,Emine Yilmaz,John Shawe-Taylor,Sahan Bulathwela
AAAI 2024no. 21 (2024): 23128-23136
Yuta Nagano, Andrew Pyo,Martina Milighetti, James Henderson,John Shawe-Taylor,Benny Chain, Andreas Tiffeau-Mayer
arxiv(2024)
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Knowledge-Based Systems (2024): 111586
Organisation for Economic Co-operation and Development eBooks (2023)
CoRR (2023)
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Int. J. Hum. Comput. Stud. (2023): 103078-103078
Kevin Baum,Joanna Bryson,Frank Dignum,Virginia Dignum, Marko Grobelnik,Holger Hoos, Morten Irgens,Paul Lukowicz,Catelijne Muller,Francesca Rossi,John Shawe-Taylor,Andreas Theodorou,
Frontiers in Computer Science (2023)
CRC Press eBookspp.1-20, (2023)
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