Craig Saunders

36 papers A* 5B 3C 1Journal 9Unranked 14

Year	Rank	Type	Title / Venue / Authors
2021	—	`ed.`	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 ECML/PKDD (5) Yuxiao Dong, Georgiana Ifrim, Dunja Mladenic, Craig Saunders, Sofie Van Hoecke
2021	—	`ed.`	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 ECML/PKDD (4) Yuxiao Dong, Dunja Mladenic, Craig Saunders
2013	J	`jnl`	Evolving Fisher Kernels for Biological Sequence Classification. Evol. Comput. Kyoung-Jae Won, Craig Saunders, Adam Prügel-Bennett
2012	—	`conf`	Data-Driven Vehicle Identification by Image Matching. ECCV Workshops (2) José A. Rodríguez-Serrano, Harsimrat Sandhawalia, Raja Bala, Florent Perronnin, Craig Saunders
2012	—	`conf`	Image simulation for automatic license plate recognition. Visual Information Processing and Communication Raja Bala, Yonghui Zhao, Aaron Burry, Vladimir Kozitsky, Claude Fillion, Craig Saunders, José A. Rodríguez-Serrano
2011	—	`conf`	A Study on Perceptually Coherent Distance Measures for Color Schemes. CIC Sandra Skaff, Luca Marchesotti, Gabriela Csurka, Craig Saunders
2011	J	`jnl`	Building look & feel concept models from color combinations - With applications in image classification, retrieval, and color transfer. Vis. Comput. Gabriela Csurka, Sandra Skaff, Luca Marchesotti, Craig Saunders
2011	J	`jnl`	Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation. J. Mach. Learn. Res. Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan
2011	J	`jnl`	Kernel regression for fMRI pattern prediction. NeuroImage Carlton Chu, Yizhao Ni, Geoffrey C. Y. Tan, Craig Saunders, John Ashburner
2010	—	`conf`	Learning moods and emotions from color combinations. ICVGIP Gabriela Csurka, Sandra Skaff, Luca Marchesotti, Craig Saunders
2010	J	`jnl`	The application of structured learning in natural language processing. Mach. Transl. Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan
2009	—	`conf`	Handling phrase reorderings for machine translation. ACL/IJCNLP (2) Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan
2009	—	`conf`	Improving the Confidence of Machine Translation Quality Estimates. MTSummit Lucia Specia, Marco Turqui, Zhuoran Wang, John Shawe-Taylor, Craig Saunders
2009	—	`conf`	Large scale maximum margin regression based, structural learning approach to phrase translations. SMART@EAMT Sándor Szedmák, Esther Galbrun, Craig Saunders, Yizhao Ni
2009	—	`conf`	Learning to rank images from eye movements. ICCV Workshops Kitsuchart Pasupa, Craig Saunders, Sándor Szedmák, Arto Klami, Samuel Kaski, Steve R. Gunn
2009	—	`conf`	Sentence-level confidence estimation for MT. SMART@EAMT Lucia Specia, Nicola Cancedda, Marc Dymetman, Craig Saunders, Marco Turchi, Nello Cristianini, Zhuoran Wang, John Shawe-Taylor
2009	—	`conf`	Voted Spheres: An Online, Fast Approach to Large Scale Learning. AINA Workshops Bassam Farran, Craig Saunders
2008	—	`conf`	Can relevance of images be inferred from eye movements? Multimedia Information Retrieval Arto Klami, Craig Saunders, Teófilo Emídio de Campos, Samuel Kaski
2008	B	`conf`	Kernel methods for fMRI pattern prediction. IJCNN Yizhao Ni, Carlton Chu, Craig Saunders, John Ashburner
2008	J	`jnl`	Using string kernels to identify famous performers from their playing style. Intell. Data Anal. Craig Saunders, David R. Hardoon, John Shawe-Taylor, Gerhard Widmer
2007	—	`ch.`	Kernels for Strings and Graphs. Perspectives of Neural-Symbolic Integration Craig Saunders, Anthony A. Demco
2006	C	`conf`	A Correlation Approach for Automatic Image Annotation. ADMA David R. Hardoon, Craig Saunders, Sándor Szedmák, John Shawe-Taylor
2006	J	`jnl`	Kernel-Based Learning of Hierarchical Multilabel Classification Models. J. Mach. Learn. Res. Juho Rousu, Craig Saunders, Sándor Szedmák, John Shawe-Taylor
2006	—	`ed.`	Subspace, Latent Structure and Feature Selection, Statistical and Optimization, Perspectives Workshop, SLSFS 2005, Bohinj, Slovenia, February 23-25, 2005, Revised Selected Papers SLSFS Craig Saunders, Marko Grobelnik, Steve R. Gunn, John Shawe-Taylor
2005	B	`conf`	A probabilistic framework for mismatch and profile string kernels. ESANN Alexei Vinokourov, Andrei N. Soklakov, Craig Saunders
2005	A*	`conf`	Learning hierarchical multi-category text classification models. ICML Juho Rousu, Craig Saunders, Sándor Szedmák, John Shawe-Taylor
2005	J	`jnl`	Special issue on neural networks and kernel methods for structured domains. Neural Networks Barbara Hammer, Craig Saunders, Alessandro Sperduti
2004	—	`conf`	Using String Kernels to Identify Famous Performers from Their Playing Style. ECML Craig Saunders, David R. Hardoon, John Shawe-Taylor, Gerhard Widmer
2002	—	`conf`	String Kernels, Fisher Kernels and Finite State Automata. NIPS Craig Saunders, John Shawe-Taylor, Alexei Vinokourov
2002	A*	`conf`	Syllables and other String Kernel Extensions. ICML Craig Saunders, Hauke Tschach, John Shawe-Taylor
2002	J	`jnl`	Text Classification using String Kernels. J. Mach. Learn. Res. Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins
2001	—	`conf`	Comparing the Bayes and Typicalness Frameworks. ECML Thomas Melluish, Craig Saunders, Ilia Nouretdinov, Volodya Vovk
2000	B	`conf`	Computationally Efficient Transductive Machines. ALT Craig Saunders, Alex Gammerman, Volodya Vovk
1999	A*	`conf`	Machine-Learning Applications of Algorithmic Randomness. ICML Volodya Vovk, Alexander Gammerman, Craig Saunders
1999	A*	`conf`	Transduction with Confidence and Credibility. IJCAI Craig Saunders, Alex Gammerman, Volodya Vovk
1998	A*	`conf`	Ridge Regression Learning Algorithm in Dual Variables. ICML Craig Saunders, Alexander Gammerman, Volodya Vovk