Seuraa
Ross D. King
Ross D. King
Professor of Machine Intelligence, Chalmers University
Vahvistettu sähköpostiosoite verkkotunnuksessa chalmers.se - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Knowledge discovery in multi-label phenotype data
A Clare, RD King
Principles of Data Mining and Knowledge Discovery: 5th European Conference …, 2001
9602001
Functional genomic hypothesis generation and experimentation by a robot scientist
RD King, KE Whelan, FM Jones, PGK Reiser, CH Bryant, SH Muggleton, ...
Nature 427 (6971), 247-252, 2004
7412004
The automation of science
RD King, J Rowland, SG Oliver, M Young, W Aubrey, E Byrne, M Liakata, ...
Science 324 (5923), 85-89, 2009
6492009
Identification and application of the concepts important for accurate and reliable protein secondary structure prediction
RD King, MJE Sternberg
Protein science 5 (11), 2298-2310, 1996
6441996
Cascaded multiple classifiers for secondary structure prediction
M Ouali, RD King
Protein Science 9 (6), 1162-1176, 2000
4502000
Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops
GS Catchpole, M Beckmann, DP Enot, M Mondhe, B Zywicki, J Taylor, ...
Proceedings of the National Academy of Sciences 102 (40), 14458-14462, 2005
4472005
Statlog: comparison of classification algorithms on large real-world problems
RD King, C Feng, A Sutherland
Applied Artificial Intelligence an International Journal 9 (3), 289-333, 1995
4471995
Theories for mutagenicity: A study in first-order and feature-based induction
A Srinivasan, SH Muggleton, MJE Sternberg, RD King
Artificial Intelligence 85 (1-2), 277-299, 1996
4421996
Finding Frequent Substructures in Chemical Compounds.
L Dehaspe, H Toivonen, RD King
KDD 98, 1998, 1998
4151998
Application of metabolomics to plant genotype discrimination using statistics and machine learning
J Taylor, RD King, T Altmann, O Fiehn
Bioinformatics 18 (suppl_2), S241-S248, 2002
3882002
Drug design by machine learning: the use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to dihydrofolate reductase.
RD King, S Muggleton, RA Lewis, MJ Sternberg
Proceedings of the national academy of sciences 89 (23), 11322-11326, 1992
3751992
Protein secondary structure prediction using logic-based machine learning
S Muggleton, RD King, MJE Stenberg
Protein Engineering, Design and Selection 5 (7), 647-657, 1992
3691992
Structure-activity relationships derived by machine learning: the use of atoms and their bond connectivities to predict mutagenicity by inductive logic programming.
RD King, SH Muggleton, A Srinivasan, MJ Sternberg
Proceedings of the National Academy of Sciences 93 (1), 438-442, 1996
3441996
An ontology of scientific experiments
LN Soldatova, RD King
Journal of the royal society interface 3 (11), 795-803, 2006
2872006
Mutagenesis: ILP experiments in a non-determinate biological domain
A Srinivasan, S Muggleton, RD King, MJE Sternberg
Proceedings of the 4th international workshop on inductive logic programming …, 1994
2531994
The predictive toxicology challenge 2000–2001
C Helma, RD King, S Kramer, A Srinivasan
Bioinformatics 17 (1), 107-108, 2001
2372001
Statistical evaluation of the predictive toxicology challenge 2000–2001
H Toivonen, A Srinivasan, RD King, S Kramer, C Helma
Bioinformatics 19 (10), 1183-1193, 2003
1992003
Predicting gene function in Saccharomyces cerevisiae
A Clare, RD King
Bioinformatics 19 (suppl_2), ii42-ii49, 2003
1822003
Carcinogenesis predictions using ILP
A Srinivasan, RD King, SH Muggleton, MJE Sternberg
Inductive Logic Programming: 7th International Workshop, ILP-97 Prague …, 1997
1821997
Active learning for regression based on query by committee
R Burbidge, JJ Rowland, RD King
Lecture Notes in Computer Science 4881, 209-218, 2007
1802007
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Artikkelit 1–20