Saunders, Craig

17 publications

ECML-PKDD 2020 Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part V Yuxiao Dong, Georgiana Ifrim, Dunja Mladenic, Craig Saunders, Sofie Van Hoecke

ECML-PKDD 2020 Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part IV Yuxiao Dong, Dunja Mladenic, Craig Saunders

ECCV 2012 Data-Driven Vehicle Identification by Image Matching José A. Rodríguez-Serrano, Harsimrat Sandhawalia, Raja Bala, Florent Perronnin, Craig Saunders

ECCVW 2012 Data-Driven Vehicle Identification by Image Matching José A. Rodríguez-Serrano, Harsimrat Sandhawalia, Raja Bala, Florent Perronnin, Craig Saunders

JMLR 2011 Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation Yizhao Ni, Craig Saunders, Sandor Szedmak, Mahesan Niranjan

ICCVW 2009 Learning to Rank Images from Eye Movements Kitsuchart Pasupa, Craig Saunders, Sándor Szedmák, Arto Klami, Samuel Kaski, Steve R. Gunn

JMLR 2006 Kernel-Based Learning of Hierarchical Multilabel Classification Models Juho Rousu, Craig Saunders, Sandor Szedmak, John Shawe-Taylor

ICML 2005 Learning Hierarchical Multi-Category Text Classification Models Juho Rousu, Craig Saunders, Sándor Szedmák, John Shawe-Taylor

ECML-PKDD 2004 Using String Kernels to Identify Famous Performers from Their Playing Style Craig Saunders, David R. Hardoon, John Shawe-Taylor, Gerhard Widmer

NeurIPS 2002 String Kernels, Fisher Kernels and Finite State Automata Craig Saunders, Alexei Vinokourov, John S. Shawe-taylor

ICML 2002 Syllables and Other String Kernel Extensions Craig Saunders, Hauke Tschach, John Shawe-Taylor

JMLR 2002 Text Classification Using String Kernels Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Chris Watkins

ECML-PKDD 2001 Comparing the Bayes and Typicalness Frameworks Thomas Melluish, Craig Saunders, Ilia Nouretdinov, Volodya Vovk

ALT 2000 Computationally Efficient Transductive Machines Craig Saunders, Alex Gammerman, Volodya Vovk

ICML 1999 Machine-Learning Applications of Algorithmic Randomness Volodya Vovk, Alexander Gammerman, Craig Saunders

IJCAI 1999 Transduction with Confidence and Credibility Craig Saunders, Alex Gammerman, Volodya Vovk

ICML 1998 Ridge Regression Learning Algorithm in Dual Variables Craig Saunders, Alexander Gammerman, Volodya Vovk