Ross D. King

Ross D. King: Numbers as Data Structures: The Prime Successor Function as Primitive. CoRR abs/1104.3056 (2011)

George Macleod Coghill, Ross D. King, Ashwin Srinivasan: Qualitative System Identification from Imperfect Data. CoRR abs/1111.0051 (2011)

Da Qi, Ross D. King, Andrew L. Hopkins, G. Richard J. Bickerton, Larisa N. Soldatova: An Ontology for Description of Drug Discovery Investigations. J. Integrative Bioinformatics 7(3) (2010)

Yihui Liu, K. Martin, Andrew Sparkes, Ross D. King: The Analysis of Yeast Cell Morphology Using a Robot Scientist. CIS 2010: 10-14

Oliver Ray, Ken E. Whelan, Ross D. King: Logic-Based Steady-State Analysis and Revision of Metabolic Networks with Inhibition. CISIS 2010: 661-666

Chuan 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)

Ross D. King, Jem J. Rowland, Wayne Aubrey, Maria Liakata, Magdalena Markham, Larisa N. Soldatova, Ken E. Whelan, Amanda Clare, Mike Young, Andrew Sparkes, Stephen G. Oliver, Pinar Pir: The Robot Scientist Adam. IEEE Computer 42(8): 46-54 (2009)

Oliver Ray, Ken E. Whelan, Ross D. King: A Nonmonotonic Logical Approach for Modelling and Revising Metabolic Networks. CISIS 2009: 825-829

Oliver Ray, Ken E. Whelan, Ross D. King: Automatic Revision of Metabolic Networks through Logical Analysis of Experimental Data. ILP 2009: 194-201

Amanda C. Schierz, Ross D. King: Drugs and Drug-Like Compounds: Discriminating Approved Pharmaceuticals from Screening-Library Compounds. PRIB 2009: 331-343

Ken E. Whelan, Ross D. King: Using a logical model to predict the growth of yeast. BMC Bioinformatics 9 (2008)

George Macleod Coghill, Ashwin Srinivasan, Ross D. King: Qualitative System Identification from Imperfect Data. J. Artif. Intell. Res. (JAIR) 32: 825-877 (2008)

Ashwin Srinivasan, Ross D. King: Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming. Journal of Machine Learning Research 9: 1475-1533 (2008)

Ross D. King, Larisa N. Soldatova: Formalising Phylogenetic Experiments: Ontologies and Logical Inference. AAAI Spring Symposium: Symbiotic Relationships between Semantic Web and Knowledge Engineering 2008: 59-62

Larisa N. Soldatova, Wayne Aubrey, Ross D. King, Amanda Clare: The EXACT description of biomedical protocols. ISMB 2008: 295-303

Michael C. Riley, Amanda Clare, Ross D. King: Locational distribution of gene functional classes in Arabidopsis thaliana. BMC Bioinformatics 8 (2007)

Robert 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

Simon 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

Ross 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

Robert Burbidge, Jem J. Rowland, Ross D. King: Active Learning for Regression Based on Query by Committee. IDEAL 2007: 209-218

Amanda Clare, Andreas Karwath, Helen Ougham, Ross D. King: Functional bioinformatics for Arabidopsis thaliana. Bioinformatics 22(9): 1130-1136 (2006)

Amanda Clare, Andreas Karwath, Helen Ougham, Ross D. King: Functional bioinformatics for Arabidopsis thaliana. Bioinformatics 22(13): 1674 (2006)

Sébastien Ferré, Ross D. King: Finding Motifs in Protein Secondary Structure for Use in Function Prediction. Journal of Computational Biology 13(3): 719-731 (2006)

Ashwin Srinivasan, David Page, Rui Camacho, Ross D. King: Quantitative pharmacophore models with inductive logic programming. Machine Learning 64(1-3): 65-90 (2006)

Rui Camacho, Ross D. King, Ashwin Srinivasan: Guest editorial. Machine Learning 64(1-3): 145-147 (2006)

Larisa N. Soldatova, Amanda Clare, Andrew Sparkes, Ross D. King: An ontology for a Robot Scientist. ISMB (Supplement of Bioinformatics) 2006: 464-471

Ross 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)

Sébastien Ferré, Ross D. King: A Dichotomic Search Algorithm for Mining and Learning in Domain-Specific Logics. Fundam. Inform. 66(1-2): 1-32 (2005)

Ross D. King: The Robot Scientist Project. ALT 2005: 12

Ross D. King, Michael Young, Amanda Clare, Kenneth Whelan, Jem J. Rowland: The Robot Scientist Project. Discovery Science 2005: 16-25

Ross D. King: Applying Inductive Logic Programming to Predicting Gene Function. AI Magazine 25(1): 57-68 (2004)

Ross D. King, Paul H. Wise, Amanda Clare: Confirmation of data mining based predictions of protein function. Bioinformatics 20(7): 1110-1118 (2004)

George Macleod Coghill, Simon M. Garrett, Ross D. King: Learning Qualitative Metabolic Models. ECAI 2004: 445-449

Sébastien Ferré, Ross D. King: BLID: An Application of Logical Information Systems to Bioinformatics. ICFCA 2004: 47-54

Ross D. King, Mohammed Ouali: Poly-transformation. IDEAL 2004: 99-107

Rui Camacho, Ross D. King, Ashwin Srinivasan (Eds.): Inductive Logic Programming, 14th International Conference, ILP 2004, Porto, Portugal, September 6-8, 2004, Proceedings. Lecture Notes in Computer Science 3194, Springer 2004, isbn 3-540-22941-8

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)

Ashwin 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)

Amanda Clare, Ross D. King: Predicting gene function in Saccharomyces cerevisiae. ECCB 2003: 42-49

Ross D. King: A Personal View of How Best to Apply ILP. ILP 2003: 1

Amanda Clare, Ross D. King: Data Mining the Yeast Genome in a Lazy Functional Language. PADL 2003: 19-36

David P. Enot, Ross D. King: Application of Inductive Logic Programming to Structure-Based Drug Design. PKDD 2003: 156-167

Amanda Clare, Ross D. King: Machine learning of functional class from phenotype data. Bioinformatics 18(1): 160-166 (2002)

Andreas Karwath, Ross D. King: Homology Induction: the use of machine learning to improve sequence similarity searches. BMC Bioinformatics 3: 11 (2002)

Amanda Clare, Ross D. King: How well do we understand the clusters found in microarray data? In Silico Biology 2: 46 (2002)

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

Christoph Helma, Ross D. King, Stefan Kramer, Ashwin Srinivasan: The Predictive Toxicology Challenge 2000-2001. Bioinformatics 17(1): 107-108 (2001)

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)

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. Electron. Trans. Artif. Intell. 5(B): 1-36 (2001)

Ross 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)

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. Electron. Trans. Artif. Intell. 5(B): 223-244 (2001)

Ross 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)

Andreas Karwath, Ross D. King: An Automated ILP Server in the Field of Bioinformatics. ILP 2001: 91-103

Amanda Clare, Ross D. King: Knowledge Discovery in Multi-label Phenotype Data. PKDD 2001: 42-53

Ross D. King, Andreas Karwath, Amanda Clare, Luc Dehaspe: Genome scale prediction of protein functional class from sequence using data mining. KDD 2000: 384-389

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)

Ashwin Srinivasan, Ross D. King, Douglas W. Bristol: An assessment of submissions made to the Predictive Toxicology Evaluation Challenge. IJCAI 1999: 270-275

Ashwin Srinivasan, Ross D. King, Douglas W. Bristol: An Assessment of ILP-Assisted Models for Toxicology and the PTE-3 Experiment. ILP 1999: 291-302

Ross 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)

Stephen Muggleton, Ashwin Srinivasan, Ross D. King, Michael J. E. Sternberg: Biochemical Knowledge Discovery Using Inductive Logic Programming. Discovery Science 1998: 326-341

Luc Dehaspe, Hannu Toivonen, Ross D. King: Finding Frequent Substructures in Chemical Compounds. KDD 1998: 30-36

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)

Ross 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)

Ashwin Srinivasan, Ross D. King, Stephen Muggleton, Michael J. E. Sternberg: The Predictive Toxicology Evaluation Challenge. IJCAI (1) 1997: 4-9

Ashwin Srinivasan, Ross D. King, Stephen Muggleton, Michael J. E. Sternberg: Carcinogenesis Predictions Using ILP. ILP 1997: 273-287

Ashwin 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)

Ross D. King, C. G. Angus: PM - protein music. Computer Applications in the Biosciences 12(3): 251-252 (1996)

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

Ross D. King: Comparison of artificial intelligence methods for modeling pharmaceutical QSARS. Applied Artificial Intelligence 9(2): 213-233 (1995)

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)

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)

Michael J. E. Sternberg, Ross D. King, Ashwin Srinivasan, Stephen Muggleton: Drug Design by Machine Learning. Machine Intelligence 15 1995: 328-338

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)

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)

Ivan Bratko, Ross D. King: Applications of Inductive Logic Programming. SIGART Bulletin 5(1): 43-49 (1994)

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

Michael J. E. Sternberg, R. A. Lewis, Ross D. King, Stephen Muggleton: Machine Learning and biomolecular modelling. Machine Intelligence 13 1994: 193-212

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

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

A. Sutherland, Bob Henery, Rafael Molina, C. C. Taylor, Ross D. King: Statistical Methods in Learning. IPMU 1992: 173-182

Steffen Schulze-Kremer, Ross D. King: IPSA: Inductive Protein Structure Analysis. EWSL 1991: 513

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