Ross D. King

Affiliations:
  • 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 116 papers between 1987 and 2023.

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Bibliography

2023
Protein-ligand binding affinity prediction exploiting sequence constituent homology.
Bioinform., August, 2023

Imbalanced regression using regressor-classifier ensembles.
Mach. Learn., April, 2023

Extension of Transformational Machine Learning: Classification Problems.
CoRR, 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

Beating the Best: Improving on AlphaFold2 at Protein Structure Prediction.
CoRR, 2023

Extrapolation is Not the Same as Interpolation.
Proceedings of the Discovery Science - 26th International Conference, 2023

RIMBO - An Ontology for Model Revision Databases.
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
Batched Bayesian Optimization for Drug Design in Noisy Environments.
J. Chem. Inf. Model., 2022

Improved prediction of gene expression through integrating cell signalling models with machine learning.
BMC Bioinform., 2022

2021
Cross-validation is safe to use.
Nat. Mach. Intell., 2021

2020
Predicting rice phenotypes with meta and multi-target learning.
Mach. Learn., 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

Federated Ensemble Regression Using Classification.
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

Using Prior Knowledge to Facilitate Computational Reading of Arabic Calligraphy.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

2018
Automating Sciences: Philosophical and Social Dimensions.
IEEE Technol. Soc. Mag., 2018

Meta-QSAR: a large-scale application of meta-learning to drug design and discovery.
Mach. Learn., 2018

Transformative Machine Learning.
CoRR, 2018

Large-Scale Assessment of Deep Relational Machines.
Proceedings of the Inductive Logic Programming - 28th International Conference, 2018

Predicting Rice Phenotypes with Meta-learning.
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
On the Use of Computer Programs as Money.
CoRR, 2016

Computing exponentially faster: Implementing a nondeterministic universal Turing machine using DNA.
CoRR, 2016

2015
Meta-QSAR: Learning How to Learn QSARs.
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

Automating the Development of Metabolic Network Models.
Proceedings of the Computational Methods in Systems Biology, 2015

2014
An investigation into eukaryotic pseudouridine synthases.
J. Bioinform. Comput. Biol., 2014

EXACT2: the semantics of biomedical protocols.
BMC Bioinform., 2014

Predicting the Geographical Origin of Music.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
Representation of probabilistic scientific knowledge.
J. Biomed. Semant., 2013

2012
Topic Models with Relational Features for Drug Design.
Proceedings of the Inductive Logic Programming - 22nd International Conference, 2012

2011
Numbers as Data Structures: The Prime Successor Function as Primitive
CoRR, 2011

2010
An Ontology for Description of Drug Discovery Investigations.
J. Integr. Bioinform., 2010

Further developments towards a genome-scale metabolic model of yeast.
BMC Syst. Biol., 2010

Logic-Based Steady-State Analysis and Revision of Metabolic Networks with Inhibition.
Proceedings of the CISIS 2010, 2010

The Analysis of Yeast Cell Morphology Using a Robot Scientist.
Proceedings of the 2010 International Conference on Computational Intelligence and Security, 2010

Inductive Queries for a Drug Designing Robot Scientist.
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

2009
The Robot Scientist Adam.
Computer, 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

A Nonmonotonic Logical Approach for Modelling and Revising Metabolic Networks.
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

Qualitative System Identification from Imperfect Data.
J. Artif. Intell. Res., 2008

Using a logical model to predict the growth of yeast.
BMC Bioinform., 2008

The EXACT description of biomedical protocols.
Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008

Formalising Phylogenetic Experiments: Ontologies and Logical Inference.
Proceedings of the Symbiotic Relationships between Semantic Web and Knowledge Engineering, 2008

2007
Locational distribution of gene functional classes in <i>Arabidopsis thaliana</i>.
BMC Bioinform., 2007

Active Learning for Regression Based on Query by Committee.
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

Learning Qualitative Models of Physical and Biological Systems.
Proceedings of the Computational Discovery of Scientific Knowledge, 2007

Evolutionary Optimization of Three-Photon Absorption in Molecular Iodine.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006
Quantitative pharmacophore models with inductive logic programming.
Mach. Learn., 2006

Guest editorial.
Mach. Learn., 2006

Finding Motifs in Protein Secondary Structure for Use in Function Prediction.
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

Functional bioinformatics for <i>Arabidopsis thaliana</i>.
Bioinform., 2006

An ontology for a Robot Scientist.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

2005
A Dichotomic Search Algorithm for Mining and Learning in Domain-Specific Logics.
Fundam. Informaticae, 2005

On the use of qualitative reasoning to simulate and identify metabolic pathway.
Bioinform., 2005

The Robot Scientist Project.
Proceedings of the Discovery Science, 8th International Conference, 2005

The Robot Scientist Project.
Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005

2004
Confirmation of data mining based predictions of protein function.
Bioinform., 2004

Applying Inductive Logic Programming to Predicting Gene Function.
AI Mag., 2004

Poly-transformation.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

BLID: An Application of Logical Information Systems to Bioinformatics.
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

Statistical Evaluation of the Predictive Toxicology Challenge 2000-2001.
Bioinform., 2003

Application of Inductive Logic Programming to Structure-Based Drug Design.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

Data Mining the Yeast Genome in a Lazy Functional Language.
Proceedings of the Practical Aspects of Declarative Languages, 5th International Symposium, 2003

A Personal View of How Best to Apply ILP.
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
How well do we understand the clusters found in microarray data?
Silico Biol., 2002

Homology Induction: the use of machine learning to improve sequence similarity searches.
BMC Bioinform., 2002

Machine learning of functional class from phenotype data.
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
Warmr: a data mining tool for chemical data.
J. Comput. Aided Mol. Des., 2001

Developing a Logical Model of Yeast Metabolism.
Electron. Trans. Artif. Intell., 2001

A quantum mechanics based representation of molecules for machine inference.
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

The Predictive Toxicology Challenge 2000-2001.
Bioinform., 2001

Knowledge Discovery in Multi-label Phenotype Data.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

An Automated ILP Server in the Field of Bioinformatics.
Proceedings of the Inductive Logic Programming, 11th International Conference, 2001

2000
Genome scale prediction of protein functional class from sequence using data mining.
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

An Assessment of ILP-Assisted Models for Toxicology and the PTE-3 Experiment.
Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999

An assessment of submissions made to the Predictive Toxicology Evaluation Challenge.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

1998
The discovery of indicator variables for QSAR using inductive logic programming.
J. Comput. Aided Mol. Des., 1998

Finding Frequent Substructures in Chemical Compounds.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Biochemical Knowledge Discovery Using Inductive Logic Programming.
Proceedings of the Discovery Science, 1998

1997
DSC: public domain protein secondary structure predication.
Comput. Appl. Biosci., 1997

Carcinogenesis Predictions Using ILP.
Proceedings of the Inductive Logic Programming, 7th International Workshop, 1997

The Predictive Toxicology Evaluation Challenge.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

1996
PM - protein music.
Comput. Appl. Biosci., 1996

Theories for Mutagenicity: A Study in First-Order and Feature-Based Induction.
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
Relating Chemical Activity to Structure: An Examination of ILP Successes.
New Gener. Comput., 1995

STALOG: Comparison of classification algorithms on large real-world problems.
Appl. Artif. Intell., 1995

Comparison of artificial intelligence methods for modeling pharmaceutical QSARS.
Appl. Artif. Intell., 1995

Drug Design by Machine Learning.
Proceedings of the Machine Intelligence 15, 1995

1994
Applications of Inductive Logic Programming.
SIGART Bull., 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

Statistical Methods in Learning.
Proceedings of the IPMU '92, 1992

1991
IPSA: Inductive Protein Structure Analysis.
Proceedings of the Machine Learning, 1991

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


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