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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.
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Knowledge-Based Systemspp.111586, (2024)
Sustainabilityno. 2 (2024): 781
John Shawe‐Taylor, Davor Orlić
Organisation for Economic Co-operation and Development eBooks (2023)
CoRR (2023)
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arxiv(2023)
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Int. J. Hum. Comput. Stud. (2023): 103078-103078
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CRC Press eBookspp.1-20, (2023)
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