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Ross D. King: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ross D. King
    The Robot Scientist Project. [Citation Graph (0, 0)][DBLP]
    ALT, 2005, pp:12- [Conf]
  2. Ross D. King, Michael Young, Amanda Clare, Kenneth Whelan, Jem J. Rowland
    The Robot Scientist Project. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2005, pp:16-25 [Conf]
  3. Stephen Muggleton, Ashwin Srinivasan, Ross D. King, Michael J. E. Sternberg
    Biochemical Knowledge Discovery Using Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 1998, pp:326-341 [Conf]
  4. George Macleod Coghill, Simon M. Garrett, Ross D. King
    Learning Qualitative Metabolic Models. [Citation Graph (0, 0)][DBLP]
    ECAI, 2004, pp:445-449 [Conf]
  5. Amanda Clare, Ross D. King
    Predicting gene function in Saccharomyces cerevisiae. [Citation Graph (0, 0)][DBLP]
    ECCB, 2003, pp:42-49 [Conf]
  6. Janet Taylor, Ross D. King, Thomas Altmann, Oliver Fiehn
    Application of metabolomics to plant genotype discrimination using statistics and machine learning. [Citation Graph (0, 0)][DBLP]
    ECCB, 2002, pp:241-248 [Conf]
  7. Ross D. King
    An Inductive Learning Approach to the Problem of Predicting a Protein's Secondary Structure from Its Amino Acid Sequence. [Citation Graph (0, 0)][DBLP]
    EWSL, 1987, pp:230-250 [Conf]
  8. Steffen Schulze-Kremer, Ross D. King
    IPSA: Inductive Protein Structure Analysis. [Citation Graph (0, 0)][DBLP]
    EWSL, 1991, pp:513- [Conf]
  9. Sébastien Ferré, Ross D. King
    BLID: An Application of Logical Information Systems to Bioinformatics. [Citation Graph (0, 0)][DBLP]
    ICFCA, 2004, pp:47-54 [Conf]
  10. Ross D. King, Mohammed Ouali
    Poly-transformation. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:99-107 [Conf]
  11. Ashwin Srinivasan, Ross D. King, Douglas W. Bristol
    An assessment of submissions made to the Predictive Toxicology Evaluation Challenge. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:270-275 [Conf]
  12. Ashwin Srinivasan, Ross D. King, Stephen Muggleton, Michael J. E. Sternberg
    The Predictive Toxicology Evaluation Challenge. [Citation Graph (0, 0)][DBLP]
    IJCAI (1), 1997, pp:4-9 [Conf]
  13. Andreas Karwath, Ross D. King
    An Automated ILP Server in the Field of Bioinformatics. [Citation Graph (0, 0)][DBLP]
    ILP, 2001, pp:91-103 [Conf]
  14. Ross D. King
    A Personal View of How Best to Apply ILP. [Citation Graph (0, 0)][DBLP]
    ILP, 2003, pp:1- [Conf]
  15. Ashwin Srinivasan, Ross D. King
    Feature Construction with Inductive Logic Programming: A Study of Quantitative Predictions of Biological Activity by Structural Attributes. [Citation Graph (0, 0)][DBLP]
    Inductive Logic Programming Workshop, 1996, pp:89-104 [Conf]
  16. Ashwin Srinivasan, Ross D. King, Douglas W. Bristol
    An Assessment of ILP-Assisted Models for Toxicology and the PTE-3 Experiment. [Citation Graph (0, 0)][DBLP]
    ILP, 1999, pp:291-302 [Conf]
  17. Ashwin Srinivasan, Ross D. King, Stephen Muggleton, Michael J. E. Sternberg
    Carcinogenesis Predictions Using ILP. [Citation Graph (0, 0)][DBLP]
    ILP, 1997, pp:273-287 [Conf]
  18. A. Sutherland, Bob Henery, Rafael Molina, C. C. Taylor, Ross D. King
    Statistical Methods in Learning. [Citation Graph (0, 0)][DBLP]
    IPMU, 1992, pp:173-182 [Conf]
  19. Ross D. King, Dominic A. Clark, Jack Shirazi, Michael J. E. Sternberg
    Inductive Logic Programming Used to Discover Topological Constraints in Protein Structures. [Citation Graph (0, 0)][DBLP]
    ISMB, 1994, pp:219-226 [Conf]
  20. Larisa N. Soldatova, Amanda Clare, Andrew Sparkes, Ross D. King
    An ontology for a Robot Scientist. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2006, pp:464-471 [Conf]
  21. Luc Dehaspe, Hannu Toivonen, Ross D. King
    Finding Frequent Substructures in Chemical Compounds. [Citation Graph (0, 0)][DBLP]
    KDD, 1998, pp:30-36 [Conf]
  22. Ross D. King, Andreas Karwath, Amanda Clare, Luc Dehaspe
    Genome scale prediction of protein functional class from sequence using data mining. [Citation Graph (0, 0)][DBLP]
    KDD, 2000, pp:384-389 [Conf]
  23. 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. [Citation Graph (0, 0)][DBLP]
    Machine Intelligence 14, 1993, pp:275-302 [Conf]
  24. Ross D. King, Bob Henery, Cao Feng, A. Sutherland
    A Comparative Study of Classification Algorithms: Statistical, Machine Learning and Neural Network. [Citation Graph (0, 0)][DBLP]
    Machine Intelligence 13, 1994, pp:311-359 [Conf]
  25. Michael J. E. Sternberg, Ross D. King, Ashwin Srinivasan, Stephen Muggleton
    Drug Design by Machine Learning. [Citation Graph (0, 0)][DBLP]
    Machine Intelligence 15, 1995, pp:328-338 [Conf]
  26. Michael J. E. Sternberg, R. A. Lewis, Ross D. King, Stephen Muggleton
    Machine Learning and biomolecular modelling. [Citation Graph (0, 0)][DBLP]
    Machine Intelligence 13, 1994, pp:193-212 [Conf]
  27. Amanda Clare, Ross D. King
    Data Mining the Yeast Genome in a Lazy Functional Language. [Citation Graph (0, 0)][DBLP]
    PADL, 2003, pp:19-36 [Conf]
  28. Amanda Clare, Ross D. King
    Knowledge Discovery in Multi-label Phenotype Data. [Citation Graph (0, 0)][DBLP]
    PKDD, 2001, pp:42-53 [Conf]
  29. David P. Enot, Ross D. King
    Application of Inductive Logic Programming to Structure-Based Drug Design. [Citation Graph (0, 0)][DBLP]
    PKDD, 2003, pp:156-167 [Conf]
  30. Ross D. King
    Comparison of artificial intelligence methods for modeling pharmaceutical QSARS. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1995, v:9, n:2, pp:213-233 [Journal]
  31. Ross D. King, Cao Feng, A. Sutherland
    STALOG: Comparison of classification algorithms on large real-world problems. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1995, v:9, n:3, pp:289-333 [Journal]
  32. Ashwin Srinivasan, Stephen Muggleton, Michael J. E. Sternberg, Ross D. King
    Theories for Mutagenicity: A Study in First-Order and Feature-Based Induction. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1996, v:85, n:1-2, pp:277-299 [Journal]
  33. Ross D. King
    Applying Inductive Logic Programming to Predicting Gene Function. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2004, v:25, n:1, pp:57-68 [Journal]
  34. Amanda Clare, Ross D. King
    Machine learning of functional class from phenotype data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2002, v:18, n:1, pp:160-166 [Journal]
  35. Amanda Clare, Andreas Karwath, Helen Ougham, Ross D. King
    Functional bioinformatics for Arabidopsis thaliana. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:9, pp:1130-1136 [Journal]
  36. Amanda Clare, Andreas Karwath, Helen Ougham, Ross D. King
    Functional bioinformatics for Arabidopsis thaliana. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:13, pp:1674- [Journal]
  37. Christoph Helma, Ross D. King, Stefan Kramer, Ashwin Srinivasan
    The Predictive Toxicology Challenge 2000-2001. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2001, v:17, n:1, pp:107-108 [Journal]
  38. Ross D. King, C. G. Angus
    PM - protein music. [Citation Graph (0, 0)][DBLP]
    Computer Applications in the Biosciences, 1996, v:12, n:3, pp:251-252 [Journal]
  39. Ross D. King, Simon M. Garrett, George Macleod Coghill
    On the use of qualitative reasoning to simulate and identify metabolic pathway. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:9, pp:2017-2026 [Journal]
  40. Ross D. King, Andreas Karwath, Amanda Clare, Luc Dehaspe
    The utility of different representations of protein sequence for predicting functional class. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2001, v:17, n:5, pp:445-454 [Journal]
  41. Ross D. King, Mansoor A. S. Saqi, Roger A. Sayle, Michael J. E. Sternberg
    DSC: public domain protein secondary structure predication. [Citation Graph (0, 0)][DBLP]
    Computer Applications in the Biosciences, 1997, v:13, n:4, pp:473-474 [Journal]
  42. Ross D. King, Paul H. Wise, Amanda Clare
    Confirmation of data mining based predictions of protein function. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:7, pp:1110-1118 [Journal]
  43. Hannu Toivonen, Ashwin Srinivasan, Ross D. King, Stefan Kramer, Christoph Helma
    Statistical Evaluation of the Predictive Toxicology Challenge 2000-2001. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2003, v:19, n:10, pp:1183-1193 [Journal]
  44. Andreas Karwath, Ross D. King
    Homology Induction: the use of machine learning to improve sequence similarity searches. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2002, v:3, n:, pp:11- [Journal]
  45. Ashwin Srinivasan, Ross D. King
    Feature Construction with Inductive Logic Programming: A Study of Quantitative Predictions of Biological Activity Aided by Structural Attributes. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 1999, v:3, n:1, pp:37-57 [Journal]
  46. Christopher 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. [Citation Graph (0, 0)][DBLP]
    Electron. Trans. Artif. Intell., 2001, v:5, n:B, pp:1-36 [Journal]
  47. Ross D. King, Nathalie Marchand-Geneste, Bjørn K. Alsberg
    A quantum mechanics based representation of molecules for machine inference. [Citation Graph (0, 0)][DBLP]
    Electron. Trans. Artif. Intell., 2001, v:5, n:B, pp:127-142 [Journal]
  48. Philip G. K. Reiser, Ross D. King, Douglas B. Kell, Stephen Muggleton, Christopher H. Bryant, Stephen G. Oliver
    Developing a Logical Model of Yeast Metabolism. [Citation Graph (0, 0)][DBLP]
    Electron. Trans. Artif. Intell., 2001, v:5, n:B, pp:223-244 [Journal]
  49. Sébastien Ferré, Ross D. King
    A Dichotomic Search Algorithm for Mining and Learning in Domain-Specific Logics. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 2005, v:66, n:1-2, pp:1-32 [Journal]
  50. Amanda Clare, Ross D. King
    How well do we understand the clusters found in microarray data? [Citation Graph (0, 0)][DBLP]
    In Silico Biology, 2002, v:2, n:, pp:46- [Journal]
  51. 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. [Citation Graph (0, 0)][DBLP]
    Journal of Computer-Aided Molecular Design, 1994, v:8, n:4, pp:405-420 [Journal]
  52. 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. [Citation Graph (0, 0)][DBLP]
    Journal of Computer-Aided Molecular Design, 1994, v:8, n:4, pp:421-432 [Journal]
  53. Ross D. King, Ashwin Srinivasan
    The discovery of indicator variables for QSAR using inductive logic programming. [Citation Graph (0, 0)][DBLP]
    Journal of Computer-Aided Molecular Design, 1997, v:11, n:6, pp:571-580 [Journal]
  54. Ross D. King, Ashwin Srinivasan
    The discovery of indicator variables for QSAR using inductive logic programming. [Citation Graph (0, 0)][DBLP]
    Journal of Computer-Aided Molecular Design, 1998, v:12, n:6, pp:571-580 [Journal]
  55. Ross D. King, Ashwin Srinivasan, Luc Dehaspe
    Warmr: a data mining tool for chemical data. [Citation Graph (0, 0)][DBLP]
    Journal of Computer-Aided Molecular Design, 2001, v:15, n:2, pp:173-181 [Journal]
  56. Ashwin Srinivasan, Ross D. King, Michael Bain
    An Empirical Study of the Use of Relevance Information in Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:369-383 [Journal]
  57. Ashwin Srinivasan, David Page, Rui Camacho, Ross D. King
    Quantitative pharmacophore models with inductive logic programming. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:64, n:1-3, pp:65-90 [Journal]
  58. Rui Camacho, Ross D. King, Ashwin Srinivasan
    Guest editorial. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:64, n:1-3, pp:145-147 [Journal]
  59. Ross D. King, Michael J. E. Sternberg, Ashwin Srinivasan
    Relating Chemical Activity to Structure: An Examination of ILP Successes. [Citation Graph (0, 0)][DBLP]
    New Generation Comput., 1995, v:13, n:3&4, pp:411-433 [Journal]
  60. Ivan Bratko, Ross D. King
    Applications of Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    SIGART Bulletin, 1994, v:5, n:1, pp:43-49 [Journal]
  61. Simon M. Garrett, George Macleod Coghill, Ashwin Srinivasan, Ross D. King
    Learning Qualitative Models of Physical and Biological Systems. [Citation Graph (0, 0)][DBLP]
    Computational Discovery of Scientific Knowledge, 2007, pp:248-272 [Conf]
  62. Ross D. King, Andreas Karwath, Amanda Clare, Luc Dehaspe
    Logic and the Automatic Acquisition of Scientific Knowledge: An Application to Functional Genomics. [Citation Graph (0, 0)][DBLP]
    Computational Discovery of Scientific Knowledge, 2007, pp:273-289 [Conf]
  63. Robert Burbidge, Jem J. Rowland, Ross D. King, Nicholas T. Form, Benjamin J. Whitaker
    Evolutionary Optimization of Three-Photon Absorption in Molecular Iodine. [Citation Graph (0, 0)][DBLP]
    CIDM, 2007, pp:96-100 [Conf]

  64. Active Learning for Regression Based on Query by Committee. [Citation Graph (, )][DBLP]


  65. Automatic Revision of Metabolic Networks through Logical Analysis of Experimental Data. [Citation Graph (, )][DBLP]


  66. The EXACT description of biomedical protocols. [Citation Graph (, )][DBLP]


  67. Drugs and Drug-Like Compounds: Discriminating Approved Pharmaceuticals from Screening-Library Compounds. [Citation Graph (, )][DBLP]


  68. A Nonmonotonic Logical Approach for Modelling and Revising Metabolic Networks. [Citation Graph (, )][DBLP]


  69. Logic-Based Steady-State Analysis and Revision of Metabolic Networks with Inhibition. [Citation Graph (, )][DBLP]


  70. An investigation into the population abundance distribution of mRNAs, proteins, and metabolites in biological systems. [Citation Graph (, )][DBLP]


  71. Locational distribution of gene functional classes in Arabidopsis thaliana. [Citation Graph (, )][DBLP]


  72. Using a logical model to predict the growth of yeast. [Citation Graph (, )][DBLP]


  73. The Robot Scientist Adam. [Citation Graph (, )][DBLP]


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