Christopher H. Bryant
Orcid: 0000-0002-9002-8343Affiliations:
- University of Salford, School of Computing, Scienc and Engineering, UK
- Robert Gordon University, School of Computing, Aberdeen, UK (2001 - 2008)
- University of York, Department of Computer Science, UK (1997 - 2001)
- University of Huddersfield, School of Computing and Mathematics, UK (1996 - 1997)
- University of Manchester, Institute of Science and Technology, UK (PhD 1996)
According to our database1,
Christopher H. Bryant
authored at least 16 papers
between 1997 and 2013.
Collaborative distances:
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Bibliography
2013
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013
2010
Comparing the Performance of Object and Object Relational Database Systems on Objects of Varying Complexity.
Proceedings of the Data Security and Security Data, 2010
2009
Predicting functional upstream open reading frames in <i>Saccharomyces cerevisiae</i>.
BMC Bioinform., 2009
2008
Proceedings of the Inductive Logic Programming, 18th International Conference, 2008
Proceedings of the Second International Conference on Complex, 2008
2006
J. Integr. Bioinform., 2006
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006
Proceedings of the Machine Learning: ECML 2006, 2006
2005
Proceedings of the Combinatorial Pattern Matching, 16th Annual Symposium, 2005
2001
Are Grammatical Representations Useful for Learning from Biological Sequence Data? - A Case Study.
J. Comput. Biol., 2001
Electron. Trans. Artif. Intell., 2001
Combining Inductive Logic Programming, Active Learning and Robotics to Discover the Function of Genes.
Electron. Trans. Artif. Intell., 2001
2000
Proceedings of the Inductive Logic Programming, 10th International Conference, 2000
Learning Chomsky-like Grammars for Biological Sequence Families.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
Measuring Performance when Positives Are Rare: Relative Advantage versus Predictive Accuracy - A Biological Case Study.
Proceedings of the Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31, 2000
1997
Proceedings of the Inductive Logic Programming, 7th International Workshop, 1997