| Knowledge discovery in multi-label phenotype data A Clare, RD King European conference on principles of data mining and knowledge discovery, 42-53, 2001 | 1053 | 2001 |
| 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 | 849 | 2004 |
| The automation of science RD King, J Rowland, SG Oliver, M Young, W Aubrey, E Byrne, M Liakata, ... Science 324 (5923), 85-89, 2009 | 777 | 2009 |
| 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 | 660 | 1996 |
| 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 | 476 | 1995 |
| 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 | 466 | 2005 |
| Cascaded multiple classifiers for secondary structure prediction M Ouali, RD King Protein Science 9 (6), 1162-1176, 2000 | 454 | 2000 |
| 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 | 450 | 1996 |
| Finding Frequent Substructures in Chemical Compounds. L Dehaspe, H Toivonen, RD King KDD 98, 1998, 1998 | 419 | 1998 |
| Application of metabolomics to plant genotype discrimination using statistics and machine learning J Taylor, R King, TA ltmann, O Fiehn BIOINFORMATICS-OXFORD- 18, S241-S248, 2002 | 415 | 2002 |
| 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 | 386 | 1992 |
| 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 | 378 | 1992 |
| 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 | 347 | 1996 |
| An ontology of scientific experiments LN Soldatova, RD King Journal of the royal society interface 3 (11), 795-803, 2006 | 315 | 2006 |
| The predictive toxicology challenge 2000–2001 C Helma, RD King, S Kramer, A Srinivasan Bioinformatics 17 (1), 107-108, 2001 | 285 | 2001 |
| 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 | 260 | 1994 |
| Active learning for regression based on query by committee R Burbidge, JJ Rowland, RD King Intelligent Data Engineering and Automated Learning-IDEAL 2007: 8th …, 2007 | 230 | 2007 |
| 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 | 229 | 2003 |
| Towards robot scientists for autonomous scientific discovery A Sparkes, W Aubrey, E Byrne, A Clare, MN Khan, M Liakata, M Markham, ... Automated experimentation 2, 1-11, 2010 | 196 | 2010 |
| Predicting gene function in Saccharomyces cerevisiae A Clare, RD King Bioinformatics-Oxford 19 (2), 42-49, 2003 | 188 | 2003 |
Larisa SoldatovaProfessor, Goldsmiths, University of London在 gold.ac.uk 的电子邮件经过验证
