Ross D. King
Orcid: 0000-0001-7208-4387Affiliations:
- University of Cambridge, Department of Chemical Engineering and Biotechnology, UK
- Chalmers University of Technology, Gothenburg, Sweden
- Aberystwyth University, UK (former)
According to our database1,
Ross D. King
authored at least 122 papers
between 1987 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on scopus.com
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on viaf.org
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on orkg.org
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on orcid.org
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on id.loc.gov
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on d-nb.info
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on isni.org
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on dl.acm.org
On csauthors.net:
Bibliography
2024
CoRR, 2024
Personalised Medicine: Establishing predictive machine learning models for drug responses in patient derived cell culture.
CoRR, 2024
Scientific Hypothesis Generation by a Large Language Model: Laboratory Validation in Breast Cancer Treatment.
CoRR, 2024
2023
Bioinform., August, 2023
Mach. Learn., April, 2023
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence.
CoRR, 2023
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems.
CoRR, 2023
CoRR, 2023
Proceedings of the Discovery Science - 26th International Conference, 2023
LGEM<sup>+</sup>: A First-Order Logic Framework for Automated Improvement of Metabolic Network Models Through Abduction.
Proceedings of the Discovery Science - 26th International Conference, 2023
2022
J. Chem. Inf. Model., 2022
Improved prediction of gene expression through integrating cell signalling models with machine learning.
BMC Bioinform., 2022
2021
2020
An evaluation of machine-learning for predicting phenotype: studies in yeast, rice, and wheat.
Mach. Learn., 2020
Self-supervised learning of object slippage: An LSTM model trained on low-cost tactile sensors.
Proceedings of the Fourth IEEE International Conference on Robotic Computing, 2020
Proceedings of the Discovery Science - 23rd International Conference, 2020
Generating Explainable and Effective Data Descriptors Using Relational Learning: Application to Cancer Biology.
Proceedings of the Discovery Science - 23rd International Conference, 2020
2019
Multi-task learning with a natural metric for quantitative structure activity relationship learning.
J. Cheminformatics, 2019
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
2018
IEEE Technol. Soc. Mag., 2018
Mach. Learn., 2018
Proceedings of the Inductive Logic Programming - 28th International Conference, 2018
Proceedings of the Discovery Science - 21st International Conference, 2018
Towards the Machine Reading of Arabic Calligraphy: A Letters Dataset and Corresponding Corpus of Text.
Proceedings of the IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition, 2018
2016
Computing exponentially faster: Implementing a nondeterministic universal Turing machine using DNA.
CoRR, 2016
2015
Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), 2015
Proceedings of the Computational Methods in Systems Biology, 2015
2014
J. Bioinform. Comput. Biol., 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
2013
2012
Proceedings of the Inductive Logic Programming - 22nd International Conference, 2012
2011
2010
J. Integr. Bioinform., 2010
BMC Syst. Biol., 2010
Logic-Based Steady-State Analysis and Revision of Metabolic Networks with Inhibition.
Proceedings of the CISIS 2010, 2010
Proceedings of the 2010 International Conference on Computational Intelligence and Security, 2010
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010
2009
An investigation into the population abundance distribution of mRNAs, proteins, and metabolites in biological systems.
Bioinform., 2009
Drugs and Drug-Like Compounds: Discriminating Approved Pharmaceuticals from Screening-Library Compounds.
Proceedings of the Pattern Recognition in Bioinformatics, 2009
Automatic Revision of Metabolic Networks through Logical Analysis of Experimental Data.
Proceedings of the Inductive Logic Programming, 19th International Conference, 2009
Proceedings of the 2009 International Conference on Complex, 2009
2008
Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming.
J. Mach. Learn. Res., 2008
Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008
Proceedings of the Symbiotic Relationships between Semantic Web and Knowledge Engineering, 2008
2007
BMC Bioinform., 2007
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007
Logic and the Automatic Acquisition of Scientific Knowledge: An Application to Functional Genomics.
Proceedings of the Computational Discovery of Scientific Knowledge, 2007
Proceedings of the Computational Discovery of Scientific Knowledge, 2007
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007
2006
Mach. Learn., 2006
J. Comput. Biol., 2006
Representation of molecular structure using quantum topology with inductive logic programming in structure-activity relationships.
J. Comput. Aided Mol. Des., 2006
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006
2005
Fundam. Informaticae, 2005
Bioinform., 2005
Proceedings of the Discovery Science, 8th International Conference, 2005
Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005
2004
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004
Proceedings of the Concept Lattices, 2004
Learning Qualitative Metabolic Models.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004
2003
An Empirical Study of the Use of Relevance Information in Inductive Logic Programming.
J. Mach. Learn. Res., 2003
Bioinform., 2003
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003
Proceedings of the Practical Aspects of Declarative Languages, 5th International Symposium, 2003
Proceedings of the Inductive Logic Programming: 13th International Conference, 2003
Predicting gene function in Saccharomyces cerevisiae.
Proceedings of the European Conference on Computational Biology (ECCB 2003), 2003
2002
Homology Induction: the use of machine learning to improve sequence similarity searches.
BMC Bioinform., 2002
Application of metabolomics to plant genotype discrimination using statistics and machine learning.
Proceedings of the European Conference on Computational Biology (ECCB 2002), 2002
2001
Electron. Trans. Artif. Intell., 2001
Electron. Trans. Artif. Intell., 2001
Combining Inductive Logic Programming, Active Learning and Robotics to Discover the Function of Genes.
Electron. Trans. Artif. Intell., 2001
The utility of different representations of protein sequence for predicting functional class.
Bioinform., 2001
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001
Proceedings of the Inductive Logic Programming, 11th International Conference, 2001
2000
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000
1999
Feature Construction with Inductive Logic Programming: A Study of Quantitative Predictions of Biological Activity Aided by Structural Attributes.
Data Min. Knowl. Discov., 1999
Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999
1998
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998
Proceedings of the Discovery Science, 1998
1997
J. Comput. Aided Mol. Des., 1997
Comput. Appl. Biosci., 1997
Proceedings of the Inductive Logic Programming, 7th International Workshop, 1997
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997
1996
Artif. Intell., 1996
Feature Construction with Inductive Logic Programming: A Study of Quantitative Predictions of Biological Activity by Structural Attributes.
Proceedings of the Inductive Logic Programming, 6th International Workshop, 1996
1995
New Gener. Comput., 1995
Appl. Artif. Intell., 1995
Appl. Artif. Intell., 1995
Drug Design by Machine Learning.
Proceedings of the Machine Intelligence 15, 1995
1994
<i>Inductive logic programming: techniques and applications</i> by Nada Lavrac and Saso Dzeroski, Ellis Horwood, UK, 1993, pp 293, £39.95, ISBN 0-13-457870-8.
Knowl. Eng. Rev., 1994
Quantitative structure-activity relationships by neural networks and inductive logic programming. II. The inhibition of dihydrofolate reductase by triazines.
J. Comput. Aided Mol. Des., 1994
Quantitative structure-activity relationships by neural networks and inductive logic programming. I. The inhibition of dihydrofolate reductase by pyrimidines.
J. Comput. Aided Mol. Des., 1994
Inductive Logic Programming Used to Discover Topological Constraints in Protein Structures.
Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology, 1994
1993
Discovery of Protein Structural Constraints in a Deductive Database using Inductive Logic Programming.
Proceedings of the Machine Intelligence 14, 1993
1992
Machine Learning and biomolecular modelling.
Proceedings of the Machine Intelligence 13, 1992
A Comparative Study of Classification Algorithms: Statistical, Machine Learning and Neural Network.
Proceedings of the Machine Intelligence 13, 1992
1991
Proceedings of the Machine Learning, 1991
1988
A machine learning approach to the problem of predicting a protein's secondary structure from its primary structure
PhD thesis, 1988
1987
An Inductive Learning Approach to the Problem of Predicting a Protein's Secondary Structure from Its Amino Acid Sequence.
Proceedings of the Progress in Machine Learning, 1987