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Craig Saunders
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2020 – today
- 2021
- [e3]Yuxiao Dong, Dunja Mladenic, Craig Saunders:
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. Lecture Notes in Computer Science 12460, Springer 2021, ISBN 978-3-030-67666-7 [contents] - [e2]Yuxiao Dong, Georgiana Ifrim, Dunja Mladenic, Craig Saunders, Sofie Van Hoecke:
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. Lecture Notes in Computer Science 12461, Springer 2021, ISBN 978-3-030-67669-8 [contents]
2010 – 2019
- 2013
- [j9]Kyoung-Jae Won
, Craig Saunders, Adam Prügel-Bennett:
Evolving Fisher Kernels for Biological Sequence Classification. Evol. Comput. 21(1): 83-105 (2013) - 2012
- [c23]José A. Rodríguez-Serrano, Harsimrat Sandhawalia, Raja Bala, Florent Perronnin, Craig Saunders:
Data-Driven Vehicle Identification by Image Matching. ECCV Workshops (2) 2012: 536-545 - [c22]Raja Bala, Yonghui Zhao, Aaron Burry, Vladimir Kozitsky, Claude Fillion, Craig Saunders, José A. Rodríguez-Serrano:
Image simulation for automatic license plate recognition. Visual Information Processing and Communication 2012: 83050Z - 2011
- [j8]Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan:
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation. J. Mach. Learn. Res. 12: 1-30 (2011) - [j7]Carlton Chu, Yizhao Ni
Kernel regression for fMRI pattern prediction. NeuroImage 56(2): 662-673 (2011) - [j6]Gabriela Csurka, Sandra Skaff, Luca Marchesotti, Craig Saunders:
Building look & feel concept models from color combinations - With applications in image classification, retrieval, and color transfer. Vis. Comput. 27(12): 1039-1053 (2011) - [c21]Sandra Skaff, Luca Marchesotti, Gabriela Csurka, Craig Saunders:
A Study on Perceptually Coherent Distance Measures for Color Schemes. CIC 2011: 247-252 - 2010
- [j5]Yizhao Ni
The application of structured learning in natural language processing. Mach. Transl. 24(2): 71-85 (2010) - [c20]Gabriela Csurka, Sandra Skaff, Luca Marchesotti, Craig Saunders:
Learning moods and emotions from color combinations. ICVGIP 2010: 298-305
2000 – 2009
- 2009
- [c19]Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan:
Handling phrase reorderings for machine translation. ACL/IJCNLP (2) 2009: 241-244 - [c18]Bassam Farran, Craig Saunders:
Voted Spheres: An Online, Fast Approach to Large Scale Learning. AINA Workshops 2009: 744-749 - [c17]Lucia Specia, Nicola Cancedda, Marc Dymetman, Craig Saunders, Marco Turchi, Nello Cristianini, Zhuoran Wang, John Shawe-Taylor:
Sentence-level confidence estimation for MT. SMART@EAMT 2009 - [c16]Sándor Szedmák, Esther Galbrun, Craig Saunders, Yizhao Ni:
Large scale maximum margin regression based, structural learning approach to phrase translations. SMART@EAMT 2009 - [c15]Kitsuchart Pasupa
Learning to rank images from eye movements. ICCV Workshops 2009: 2009-2016 - [c14]Lucia Specia, Marco Turqui, Zhuoran Wang, John Shawe-Taylor, Craig Saunders:
Improving the Confidence of Machine Translation Quality Estimates. MTSummit 2009 - 2008
- [j4]Craig Saunders, David R. Hardoon, John Shawe-Taylor, Gerhard Widmer:
Using string kernels to identify famous performers from their playing style. Intell. Data Anal. 12(4): 425-440 (2008) - [c13]Yizhao Ni
Kernel methods for fMRI pattern prediction. IJCNN 2008: 692-697 - [c12]Arto Klami
Can relevance of images be inferred from eye movements? Multimedia Information Retrieval 2008: 134-140 - 2007
- [p1]Craig Saunders, Anthony A. Demco:
Kernels for Strings and Graphs. Perspectives of Neural-Symbolic Integration 2007: 7-22 - 2006
- [j3]Juho Rousu, Craig Saunders, Sándor Szedmák, John Shawe-Taylor:
Kernel-Based Learning of Hierarchical Multilabel Classification Models. J. Mach. Learn. Res. 7: 1601-1626 (2006) - [c11]David R. Hardoon, Craig Saunders, Sándor Szedmák, John Shawe-Taylor
A Correlation Approach for Automatic Image Annotation. ADMA 2006: 681-692 - [e1]Craig Saunders, Marko Grobelnik, Steve R. Gunn, John Shawe-Taylor:
Subspace, Latent Structure and Feature Selection, Statistical and Optimization, Perspectives Workshop, SLSFS 2005, Bohinj, Slovenia, February 23-25, 2005, Revised Selected Papers. Lecture Notes in Computer Science 3940, Springer 2006, ISBN 3-540-34137-4 [contents] - 2005
- [j2]Barbara Hammer
Special issue on neural networks and kernel methods for structured domains. Neural Networks 18(8): 1015-1018 (2005) - [c10]Alexei Vinokourov, Andrei N. Soklakov, Craig Saunders:
A probabilistic framework for mismatch and profile string kernels. ESANN 2005: 325-330 - [c9]Juho Rousu, Craig Saunders, Sándor Szedmák, John Shawe-Taylor
Learning hierarchical multi-category text classification models. ICML 2005: 744-751 - 2004
- [c8]Craig Saunders, David R. Hardoon, John Shawe-Taylor
Using String Kernels to Identify Famous Performers from Their Playing Style. ECML 2004: 384-395 - 2002
- [j1]Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins:
Text Classification using String Kernels. J. Mach. Learn. Res. 2: 419-444 (2002) - [c7]Craig Saunders, Hauke Tschach, John Shawe-Taylor:
Syllables and other String Kernel Extensions. ICML 2002: 530-537 - [c6]Craig Saunders, John Shawe-Taylor, Alexei Vinokourov:
String Kernels, Fisher Kernels and Finite State Automata. NIPS 2002: 633-640 - 2001
- [c5]Thomas Melluish, Craig Saunders, Ilia Nouretdinov, Volodya Vovk:
Comparing the Bayes and Typicalness Frameworks. ECML 2001: 360-371 - 2000
- [b1]Craig John Saunders:
Efficient implementation and experimental testing of transductive algorithms for predicting with confidence. Royal Holloway, University of London, UK, 2000 - [c4]Craig Saunders, Alex Gammerman, Volodya Vovk:
Computationally Efficient Transductive Machines. ALT 2000: 325-333
1990 – 1999
- 1999
- [c3]Volodya Vovk, Alexander Gammerman, Craig Saunders:
Machine-Learning Applications of Algorithmic Randomness. ICML 1999: 444-453 - [c2]Craig Saunders, Alex Gammerman, Volodya Vovk:
Transduction with Confidence and Credibility. IJCAI 1999: 722-726 - 1998
- [c1]Craig Saunders, Alexander Gammerman, Volodya Vovk:
Ridge Regression Learning Algorithm in Dual Variables. ICML 1998: 515-521
Coauthor Index
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