| 2008 |
|---|
| 67 | EE | Larisa N. Soldatova,
Wayne Aubrey,
Ross D. King,
Amanda Clare:
The EXACT description of biomedical protocols.
ISMB 2008: 295-303 |
| 2007 |
|---|
| 66 | EE | 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 |
| 65 | EE | 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 |
| 64 | EE | 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 |
| 63 | EE | Robert Burbidge,
Jem J. Rowland,
Ross D. King:
Active Learning for Regression Based on Query by Committee.
IDEAL 2007: 209-218 |
| 2006 |
|---|
| 62 | EE | Larisa N. Soldatova,
Amanda Clare,
Andrew Sparkes,
Ross D. King:
An ontology for a Robot Scientist.
ISMB (Supplement of Bioinformatics) 2006: 464-471 |
| 61 | EE | Amanda Clare,
Andreas Karwath,
Helen Ougham,
Ross D. King:
Functional bioinformatics for Arabidopsis thaliana.
Bioinformatics 22(13): 1674 (2006) |
| 60 | EE | Amanda Clare,
Andreas Karwath,
Helen Ougham,
Ross D. King:
Functional bioinformatics for Arabidopsis thaliana.
Bioinformatics 22(9): 1130-1136 (2006) |
| 59 | EE | 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) |
| 58 | EE | Rui Camacho,
Ross D. King,
Ashwin Srinivasan:
Guest editorial.
Machine Learning 64(1-3): 145-147 (2006) |
| 57 | EE | Ashwin Srinivasan,
David Page,
Rui Camacho,
Ross D. King:
Quantitative pharmacophore models with inductive logic programming.
Machine Learning 64(1-3): 65-90 (2006) |
| 2005 |
|---|
| 56 | EE | Ross D. King:
The Robot Scientist Project.
ALT 2005: 12 |
| 55 | EE | Ross D. King,
Michael Young,
Amanda Clare,
Kenneth Whelan,
Jem J. Rowland:
The Robot Scientist Project.
Discovery Science 2005: 16-25 |
| 54 | EE | 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) |
| 53 | EE | 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) |
| 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 |
| 50 | EE | Sébastien Ferré,
Ross D. King:
BLID: An Application of Logical Information Systems to Bioinformatics.
ICFCA 2004: 47-54 |
| 49 | EE | Ross 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) |
| 47 | EE | Ross 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 |
| 45 | EE | Ross D. King:
A Personal View of How Best to Apply ILP.
ILP 2003: 1 |
| 44 | EE | Amanda Clare,
Ross D. King:
Data Mining the Yeast Genome in a Lazy Functional Language.
PADL 2003: 19-36 |
| 43 | EE | David 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) |
| 41 | EE | 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) |
| 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 |
| 39 | EE | Andreas 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) |
| 37 | EE | Amanda Clare,
Ross D. King:
How well do we understand the clusters found in microarray data?
In Silico Biology 2: 46 (2002) |
| 2001 |
|---|
| 36 | EE | Andreas Karwath,
Ross D. King:
An Automated ILP Server in the Field of Bioinformatics.
ILP 2001: 91-103 |
| 35 | EE | Amanda 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) |
| 32 | EE | 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) |
| 31 | EE | 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) |
| 30 | EE | 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) |
| 29 | EE | 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) |
| 2000 |
|---|
| 28 | EE | 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 |
| 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 |
| 26 | EE | 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 |
| 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 |
|---|
| 24 | EE | Stephen 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 |
| 22 | EE | 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) |
| 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) |
| 18 | EE | 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) |
| 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 |
| 16 | EE | 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) |
| 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 |
|---|
| 2 | | Steffen 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 |
