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Ross D. King Vis

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*2009
71EEAmanda C. Schierz, Ross D. King: Drugs and Drug-Like Compounds: Discriminating Approved Pharmaceuticals from Screening-Library Compounds. PRIB 2009: 331-343
70EEChuan Lu, Ross D. King: An investigation into the population abundance distribution of mRNAs, proteins, and metabolites in biological systems. Bioinformatics 25(16): 2020-2027 (2009)
2008
69EELarisa N. Soldatova, Wayne Aubrey, Ross D. King, Amanda Clare: The EXACT description of biomedical protocols. ISMB 2008: 295-303
68EEGeorge Macleod Coghill, Ashwin Srinivasan, Ross D. King: Qualitative System Identification from Imperfect Data. J. Artif. Intell. Res. (JAIR) 32: 825-877 (2008)
2007
67EERobert Burbidge, Jem J. Rowland, Ross D. King, Nicholas T. Form, Benjamin J. Whitaker: Evolutionary Optimization of Three-Photon Absorption in Molecular Iodine. CIDM 2007: 96-100
66EESimon M. Garrett, George Macleod Coghill, Ashwin Srinivasan, Ross D. King: Learning Qualitative Models of Physical and Biological Systems. Computational Discovery of Scientific Knowledge 2007: 248-272
65EERoss D. King, Andreas Karwath, Amanda Clare, Luc Dehaspe: Logic and the Automatic Acquisition of Scientific Knowledge: An Application to Functional Genomics. Computational Discovery of Scientific Knowledge 2007: 273-289
64EERobert Burbidge, Jem J. Rowland, Ross D. King: Active Learning for Regression Based on Query by Committee. IDEAL 2007: 209-218
63EEMichael C. Riley, Amanda Clare, Ross D. King: Locational distribution of gene functional classes in Arabidopsis thaliana. BMC Bioinformatics 8: (2007)
2006
62EELarisa N. Soldatova, Amanda Clare, Andrew Sparkes, Ross D. King: An ontology for a Robot Scientist. ISMB (Supplement of Bioinformatics) 2006: 464-471
61EEAmanda Clare, Andreas Karwath, Helen Ougham, Ross D. King: Functional bioinformatics for Arabidopsis thaliana. Bioinformatics 22(13): 1674 (2006)
60EEAmanda Clare, Andreas Karwath, Helen Ougham, Ross D. King: Functional bioinformatics for Arabidopsis thaliana. Bioinformatics 22(9): 1130-1136 (2006)
59EESébastien Ferré, Ross D. King: Finding Motifs in Protein Secondary Structure for Use in Function Prediction. Journal of Computational Biology 13(3): 719-731 (2006)
58EERui Camacho, Ross D. King, Ashwin Srinivasan: Guest editorial. Machine Learning 64(1-3): 145-147 (2006)
57EEAshwin Srinivasan, David Page, Rui Camacho, Ross D. King: Quantitative pharmacophore models with inductive logic programming. Machine Learning 64(1-3): 65-90 (2006)
2005
56EERoss D. King: The Robot Scientist Project. ALT 2005: 12
55EERoss D. King, Michael Young, Amanda Clare, Kenneth Whelan, Jem J. Rowland: The Robot Scientist Project. Discovery Science 2005: 16-25
54EERoss D. King, Simon M. Garrett, George Macleod Coghill: On the use of qualitative reasoning to simulate and identify metabolic pathway. Bioinformatics 21(9): 2017-2026 (2005)
53EESébastien Ferré, Ross D. King: A Dichotomic Search Algorithm for Mining and Learning in Domain-Specific Logics. Fundam. Inform. 66(1-2): 1-32 (2005)
2004
52 Rui Camacho, Ross D. King, Ashwin Srinivasan: Inductive Logic Programming, 14th International Conference, ILP 2004, Porto, Portugal, September 6-8, 2004, Proceedings Springer 2004
51 George Macleod Coghill, Simon M. Garrett, Ross D. King: Learning Qualitative Metabolic Models. ECAI 2004: 445-449
50EESébastien Ferré, Ross D. King: BLID: An Application of Logical Information Systems to Bioinformatics. ICFCA 2004: 47-54
49EERoss D. King, Mohammed Ouali: Poly-transformation. IDEAL 2004: 99-107
48 Ross D. King: Applying Inductive Logic Programming to Predicting Gene Function. AI Magazine 25(1): 57-68 (2004)
47EERoss D. King, Paul H. Wise, Amanda Clare: Confirmation of data mining based predictions of protein function. Bioinformatics 20(7): 1110-1118 (2004)
2003
46 Amanda Clare, Ross D. King: Predicting gene function in Saccharomyces cerevisiae. ECCB 2003: 42-49
45EERoss D. King: A Personal View of How Best to Apply ILP. ILP 2003: 1
44EEAmanda Clare, Ross D. King: Data Mining the Yeast Genome in a Lazy Functional Language. PADL 2003: 19-36
43EEDavid P. Enot, Ross D. King: Application of Inductive Logic Programming to Structure-Based Drug Design. PKDD 2003: 156-167
42 Hannu Toivonen, Ashwin Srinivasan, Ross D. King, Stefan Kramer, Christoph Helma: Statistical Evaluation of the Predictive Toxicology Challenge 2000-2001. Bioinformatics 19(10): 1183-1193 (2003)
41EEAshwin Srinivasan, Ross D. King, Michael Bain: An Empirical Study of the Use of Relevance Information in Inductive Logic Programming. Journal of Machine Learning Research 4: 369-383 (2003)
2002
40 Janet Taylor, Ross D. King, Thomas Altmann, Oliver Fiehn: Application of metabolomics to plant genotype discrimination using statistics and machine learning. ECCB 2002: 241-248
39EEAndreas Karwath, Ross D. King: Homology Induction: the use of machine learning to improve sequence similarity searches. BMC Bioinformatics 3: 11 (2002)
38 Amanda Clare, Ross D. King: Machine learning of functional class from phenotype data. Bioinformatics 18(1): 160-166 (2002)
37EEAmanda Clare, Ross D. King: How well do we understand the clusters found in microarray data? In Silico Biology 2: 46 (2002)
2001
36EEAndreas Karwath, Ross D. King: An Automated ILP Server in the Field of Bioinformatics. ILP 2001: 91-103
35EEAmanda Clare, Ross D. King: Knowledge Discovery in Multi-label Phenotype Data. PKDD 2001: 42-53
34 Christoph Helma, Ross D. King, Stefan Kramer, Ashwin Srinivasan: The Predictive Toxicology Challenge 2000-2001. Bioinformatics 17(1): 107-108 (2001)
33 Ross D. King, Andreas Karwath, Amanda Clare, Luc Dehaspe: The utility of different representations of protein sequence for predicting functional class. Bioinformatics 17(5): 445-454 (2001)
32EEChristopher H. Bryant, Stephen Muggleton, Stephen G. Oliver, Douglas B. Kell, Philip G. K. Reiser, Ross D. King: Combining Inductive Logic Programming, Active Learning and Robotics to Discover the Function of Genes. Electron. Trans. Artif. Intell. 5(B): 1-36 (2001)
31EERoss D. King, Nathalie Marchand-Geneste, Bjørn K. Alsberg: A quantum mechanics based representation of molecules for machine inference. Electron. Trans. Artif. Intell. 5(B): 127-142 (2001)
30EEPhilip G. K. Reiser, Ross D. King, Douglas B. Kell, Stephen Muggleton, Christopher H. Bryant, Stephen G. Oliver: Developing a Logical Model of Yeast Metabolism. Electron. Trans. Artif. Intell. 5(B): 223-244 (2001)
29EERoss D. King, Ashwin Srinivasan, Luc Dehaspe: Warmr: a data mining tool for chemical data. Journal of Computer-Aided Molecular Design 15(2): 173-181 (2001)
2000
28EERoss D. King, Andreas Karwath, Amanda Clare, Luc Dehaspe: Genome scale prediction of protein functional class from sequence using data mining. KDD 2000: 384-389
1999
27 Ashwin Srinivasan, Ross D. King, Douglas W. Bristol: An assessment of submissions made to the Predictive Toxicology Evaluation Challenge. IJCAI 1999: 270-275
26EEAshwin Srinivasan, Ross D. King, Douglas W. Bristol: An Assessment of ILP-Assisted Models for Toxicology and the PTE-3 Experiment. ILP 1999: 291-302
25 Ashwin Srinivasan, Ross D. King: Feature Construction with Inductive Logic Programming: A Study of Quantitative Predictions of Biological Activity Aided by Structural Attributes. Data Min. Knowl. Discov. 3(1): 37-57 (1999)
1998
24EEStephen Muggleton, Ashwin Srinivasan, Ross D. King, Michael J. E. Sternberg: Biochemical Knowledge Discovery Using Inductive Logic Programming. Discovery Science 1998: 326-341
23 Luc Dehaspe, Hannu Toivonen, Ross D. King: Finding Frequent Substructures in Chemical Compounds. KDD 1998: 30-36
22EERoss D. King, Ashwin Srinivasan: The discovery of indicator variables for QSAR using inductive logic programming. Journal of Computer-Aided Molecular Design 12(6): 571-580 (1998)
1997
21 Ashwin Srinivasan, Ross D. King, Stephen Muggleton, Michael J. E. Sternberg: The Predictive Toxicology Evaluation Challenge. IJCAI (1) 1997: 4-9
20 Ashwin Srinivasan, Ross D. King, Stephen Muggleton, Michael J. E. Sternberg: Carcinogenesis Predictions Using ILP. ILP 1997: 273-287
19 Ross D. King, Mansoor A. S. Saqi, Roger A. Sayle, Michael J. E. Sternberg: DSC: public domain protein secondary structure predication. Computer Applications in the Biosciences 13(4): 473-474 (1997)
18EERoss D. King, Ashwin Srinivasan: The discovery of indicator variables for QSAR using inductive logic programming. Journal of Computer-Aided Molecular Design 11(6): 571-580 (1997)
1996
17 Ashwin Srinivasan, Ross D. King: Feature Construction with Inductive Logic Programming: A Study of Quantitative Predictions of Biological Activity by Structural Attributes. Inductive Logic Programming Workshop 1996: 89-104
16EEAshwin Srinivasan, Stephen Muggleton, Michael J. E. Sternberg, Ross D. King: Theories for Mutagenicity: A Study in First-Order and Feature-Based Induction. Artif. Intell. 85(1-2): 277-299 (1996)
15 Ross D. King, C. G. Angus: PM - protein music. Computer Applications in the Biosciences 12(3): 251-252 (1996)
1995
14 Michael J. E. Sternberg, Ross D. King, Ashwin Srinivasan, Stephen Muggleton: Drug Design by Machine Learning. Machine Intelligence 15 1995: 328-338
13 Ross D. King: Comparison of artificial intelligence methods for modeling pharmaceutical QSARS. Applied Artificial Intelligence 9(2): 213-233 (1995)
12 Ross D. King, Cao Feng, A. Sutherland: STALOG: Comparison of classification algorithms on large real-world problems. Applied Artificial Intelligence 9(3): 289-333 (1995)
11 Ross D. King, Michael J. E. Sternberg, Ashwin Srinivasan: Relating Chemical Activity to Structure: An Examination of ILP Successes. New Generation Comput. 13(3&4): 411-433 (1995)
1994
10 Ross D. King, Dominic A. Clark, Jack Shirazi, Michael J. E. Sternberg: Inductive Logic Programming Used to Discover Topological Constraints in Protein Structures. ISMB 1994: 219-226
9 Michael J. E. Sternberg, R. A. Lewis, Ross D. King, Stephen Muggleton: Machine Learning and biomolecular modelling. Machine Intelligence 13 1994: 193-212
8 Ross D. King, Bob Henery, Cao Feng, A. Sutherland: A Comparative Study of Classification Algorithms: Statistical, Machine Learning and Neural Network. Machine Intelligence 13 1994: 311-359
7 Jonathan D. Hirst, Ross D. King, Michael J. E. Sternberg: Quantitative structure-activity relationships by neural networks and inductive logic programming. I. The inhibition of dihydrofolate reductase by pyrimidines. Journal of Computer-Aided Molecular Design 8(4): 405-420 (1994)
6 Jonathan D. Hirst, Ross D. King, Michael J. E. Sternberg: Quantitative structure-activity relationships by neural networks and inductive logic programming. II. The inhibition of dihydrofolate reductase by triazines. Journal of Computer-Aided Molecular Design 8(4): 421-432 (1994)
5 Ivan Bratko, Ross D. King: Applications of Inductive Logic Programming. SIGART Bulletin 5(1): 43-49 (1994)
1993
4 Ross D. King, Dominic A. Clark, Jack Shirazi, Michael J. E. Sternberg: Discovery of Protein Structural Constraints in a Deductive Database using Inductive Logic Programming. Machine Intelligence 14 1993: 275-302
1992
3 A. Sutherland, Bob Henery, Rafael Molina, C. C. Taylor, Ross D. King: Statistical Methods in Learning. IPMU 1992: 173-182
1991
2EESteffen Schulze-Kremer, Ross D. King: IPSA: Inductive Protein Structure Analysis. EWSL 1991: 513
1987
1 Ross D. King: An Inductive Learning Approach to the Problem of Predicting a Protein's Secondary Structure from Its Amino Acid Sequence. EWSL 1987: 230-250

Coauthor Index

1Bjørn K. Alsberg [31]
2Thomas Altmann [40]
3C. G. Angus [15]
4Wayne Aubrey [69]
5Michael Bain [41]
6Ivan Bratko [5]
7Douglas W. Bristol [26] [27]
8Christopher H. Bryant [30] [32]
9Robert Burbidge [64] [67]
10Rui Camacho [52] [57] [58]
11Amanda Clare [28] [33] [35] [37] [38] [44] [46] [47] [55] [60] [61] [62] [63] [65] [69]
12Dominic A. Clark [4] [10]
13George Macleod Coghill [51] [54] [66] [68]
14Luc Dehaspe [23] [28] [29] [33] [65]
15David P. Enot [43]
16Cao Feng [8] [12]
17Sébastien Ferré [50] [53] [59]
18Oliver Fiehn [40]
19Nicholas T. Form [67]
20Simon M. Garrett [51] [54] [66]
21Christoph Helma [34] [42]
22Bob Henery [3] [8]
23Jonathan D. Hirst [6] [7]
24Andreas Karwath [28] [33] [36] [39] [60] [61] [65]
25Douglas B. Kell [30] [32]
26Stefan Kramer [34] [42]
27R. A. Lewis [9]
28Chuan Lu [70]
29Nathalie Marchand-Geneste [31]
30Rafael Molina [3]
31Stephen Muggleton [9] [14] [16] [20] [21] [24] [30] [32]
32Stephen G. Oliver [30] [32]
33Mohammed Ouali [49]
34Helen Ougham [60] [61]
35C. David Page Jr. (David Page) [57]
36Philip G. K. Reiser [30] [32]
37Michael C. Riley [63]
38Jem J. Rowland [55] [64] [67]
39Mansoor A. S. Saqi [19]
40Roger A. Sayle [19]
41Amanda C. Schierz [71]
42Steffen Schulze-Kremer [2]
43Jack Shirazi [4] [10]
44Larisa N. Soldatova [62] [69]
45Andrew Sparkes [62]
46Ashwin Srinivasan [11] [14] [16] [17] [18] [20] [21] [22] [24] [25] [26] [27] [29] [34] [41] [42] [52] [57] [58] [66] [68]
47Michael J. E. Sternberg [4] [6] [7] [9] [10] [11] [14] [16] [19] [20] [21] [24]
48A. Sutherland [3] [8] [12]
49C. C. Taylor [3]
50Janet Taylor [40]
51Hannu Toivonen [23] [42]
52Kenneth Whelan [55]
53Benjamin J. Whitaker [67]
54Paul H. Wise [47]
55Michael Young [55]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)