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Ross D. King :
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Ross D. King The Robot Scientist Project. [Citation Graph (0, 0)][DBLP ] ALT, 2005, pp:12- [Conf ] 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 ] 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 ] George Macleod Coghill , Simon M. Garrett , Ross D. King Learning Qualitative Metabolic Models. [Citation Graph (0, 0)][DBLP ] ECAI, 2004, pp:445-449 [Conf ] Amanda Clare , Ross D. King Predicting gene function in Saccharomyces cerevisiae. [Citation Graph (0, 0)][DBLP ] ECCB, 2003, pp:42-49 [Conf ] 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 ] 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 ] Steffen Schulze-Kremer , Ross D. King IPSA: Inductive Protein Structure Analysis. [Citation Graph (0, 0)][DBLP ] EWSL, 1991, pp:513- [Conf ] 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 ] Ross D. King , Mohammed Ouali Poly-transformation. [Citation Graph (0, 0)][DBLP ] IDEAL, 2004, pp:99-107 [Conf ] 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 ] 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 ] 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 ] Ross D. King A Personal View of How Best to Apply ILP. [Citation Graph (0, 0)][DBLP ] ILP, 2003, pp:1- [Conf ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] Luc Dehaspe , Hannu Toivonen , Ross D. King Finding Frequent Substructures in Chemical Compounds. [Citation Graph (0, 0)][DBLP ] KDD, 1998, pp:30-36 [Conf ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] Amanda Clare , Ross D. King Knowledge Discovery in Multi-label Phenotype Data. [Citation Graph (0, 0)][DBLP ] PKDD, 2001, pp:42-53 [Conf ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] Active Learning for Regression Based on Query by Committee. [Citation Graph (, )][DBLP ] Automatic Revision of Metabolic Networks through Logical Analysis of Experimental Data. [Citation Graph (, )][DBLP ] The EXACT description of biomedical protocols. [Citation Graph (, )][DBLP ] Drugs and Drug-Like Compounds: Discriminating Approved Pharmaceuticals from Screening-Library Compounds. [Citation Graph (, )][DBLP ] A Nonmonotonic Logical Approach for Modelling and Revising Metabolic Networks. [Citation Graph (, )][DBLP ] Logic-Based Steady-State Analysis and Revision of Metabolic Networks with Inhibition. [Citation Graph (, )][DBLP ] An investigation into the population abundance distribution of mRNAs, proteins, and metabolites in biological systems. [Citation Graph (, )][DBLP ] Locational distribution of gene functional classes in Arabidopsis thaliana . [Citation Graph (, )][DBLP ] Using a logical model to predict the growth of yeast. [Citation Graph (, )][DBLP ] The Robot Scientist Adam. [Citation Graph (, )][DBLP ] Search in 0.014secs, Finished in 0.617secs