Ross D. King

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 29

Top Venues

CoRR

Mach. Learn.

BMC Bioinform.

Publications

Alexander H. Gower, Konstantin Korovin, Daniel Brunnsåker, Filip Kronström, Gabriel K. Reder, Ievgeniia A. Tiukova, Ronald S. Reiserer, John P. Wikswo, Ross D. King
The Use of AI-Robotic Systems for Scientific Discovery. CoRR (2024)
Abbi Abdel-Rehim, Hector Zenil, Oghenejokpeme I. Orhobor, Marie Fisher, Ross J. Collins, Elizabeth Bourne, Gareth W. Fearnley, Emma Tate, Holly X. Smith, Larisa N. Soldatova, Ross D. King
Scientific Hypothesis Generation by a Large Language Model: Laboratory Validation in Breast Cancer Treatment. CoRR (2024)
Hector Zenil, Jesper Tegnér, Felipe S. Abrahão, Alexander Lavin, Vipin Kumar, Jeremy G. Frey, Adrian Weller, Larisa N. Soldatova, Alan R. Bundy, Nicholas R. Jennings, Koichi Takahashi, Lawrence Hunter, Saso Dzeroski, Andrew Briggs, Frederick D. Gregory, Carla P. Gomes, Christopher K. I. Williams, Jon Rowe, James A. Evans, Hiroaki Kitano, Joshua B. Tenenbaum, Ross D. King
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence. CoRR (2023)
Oghenejokpeme I. Orhobor, Nastasiya F. Grinberg, Larisa N. Soldatova, Ross D. King
Imbalanced regression using regressor-classifier ensembles. Mach. Learn. 112 (4) (2023)
Yuxuan Wang, Ross D. King
Extrapolation is Not the Same as Interpolation. DS (2023)
Abbi Abdel-Rehim, Oghenejokpeme I. Orhobor, Hang Lou, Hao Ni, Ross D. King
Beating the Best: Improving on AlphaFold2 at Protein Structure Prediction. CoRR (2023)
Stefan Kramer, Mattia Cerrato, Saso Dzeroski, Ross D. King
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems. CoRR (2023)
Alexander H. Gower, Konstantin Korovin, Daniel Brunnsåker, Ievgeniia A. Tiukova, Ross D. King
: A First-Order Logic Framework for Automated Improvement of Metabolic Network Models Through Abduction. DS (2023)
Filip Kronström, Alexander H. Gower, Ievgeniia A. Tiukova, Ross D. King
RIMBO - An Ontology for Model Revision Databases. DS (2023)
Abbi Abdel-Rehim, Oghenejokpeme I. Orhobor, Hang Lou, Hao Ni, Ross D. King
Protein-ligand binding affinity prediction exploiting sequence constituent homology. Bioinform. 39 (8) (2023)
Adnan Mahmud, Oghenejokpeme I. Orhobor, Ross D. King
Extension of Transformational Machine Learning: Classification Problems. CoRR (2023)
Nada Al taweraqi, Ross D. King
Improved prediction of gene expression through integrating cell signalling models with machine learning. BMC Bioinform. 23 (1) (2022)
Ross D. King, Oghenejokpeme I. Orhobor, Charles C. Taylor
Cross-validation is safe to use. Nat. Mach. Intell. 3 (4) (2021)
Oghenejokpeme I. Orhobor, Larisa N. Soldatova, Ross D. King
Federated Ensemble Regression Using Classification. DS (2020)
Oghenejokpeme I. Orhobor, Joseph French, Larisa N. Soldatova, Ross D. King
Generating Explainable and Effective Data Descriptors Using Relational Learning: Application to Cancer Biology. DS (2020)
Oghenejokpeme I. Orhobor, Nickolai N. Alexandrov, Ross D. King
Predicting rice phenotypes with meta and multi-target learning. Mach. Learn. 109 (11) (2020)
Nastasiya F. Grinberg, Oghenejokpeme I. Orhobor, Ross D. King
An evaluation of machine-learning for predicting phenotype: studies in yeast, rice, and wheat. Mach. Learn. 109 (2) (2020)
Ainur Begalinova, Ross D. King, Barry Lennox, Riza Batista-Navarro
Self-supervised learning of object slippage: An LSTM model trained on low-cost tactile sensors. IRC (2020)
Noureddin Sadawi, Iván Olier, Joaquin Vanschoren, Jan N. van Rijn, Jeremy Besnard, G. Richard J. Bickerton, Crina Grosan, Larisa N. Soldatova, Ross D. King
Multi-task learning with a natural metric for quantitative structure activity relationship learning. J. Cheminformatics 11 (1) (2019)
Seetah ALSalamah, Riza Batista-Navarro, Ross D. King
Using Prior Knowledge to Facilitate Computational Reading of Arabic Calligraphy. IDEAL (2) (2019)
Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Oghenejokpeme I. Orhobor, Ross D. King
Large-Scale Assessment of Deep Relational Machines. ILP (2018)
Ross D. King, Vlad Schuler Costa, Chris Mellingwood, Larisa N. Soldatova
Automating Sciences: Philosophical and Social Dimensions. IEEE Technol. Soc. Mag. 37 (1) (2018)
Iván Olier, Noureddin Sadawi, G. Richard J. Bickerton, Joaquin Vanschoren, Crina Grosan, Larisa N. Soldatova, Ross D. King
Meta-QSAR: a large-scale application of meta-learning to drug design and discovery. Mach. Learn. 107 (1) (2018)
Oghenejokpeme I. Orhobor, Nickolai N. Alexandrov, Ross D. King
Predicting Rice Phenotypes with Meta-learning. DS (2018)
Seetah ALSalamah, Ross D. King
Towards the Machine Reading of Arabic Calligraphy: A Letters Dataset and Corresponding Corpus of Text. ASAR (2018)
Iván Olier, Oghenejokpeme I. Orhobor, Joaquin Vanschoren, Ross D. King
Transformative Machine Learning. CoRR (2018)
Iván Olier, Noureddin Sadawi, G. Richard J. Bickerton, Joaquin Vanschoren, Crina Grosan, Larisa N. Soldatova, Ross D. King
Meta-QSAR: a large-scale application of meta-learning to drug design and discovery. CoRR (2017)
Ross D. King
On the Use of Computer Programs as Money. CoRR (2016)
Andrew Currin, Konstantin Korovin, Maria Ababi, Katherine Roper, Douglas B. Kell, Philip J. Day, Ross D. King
Computing exponentially faster: Implementing a nondeterministic universal Turing machine using DNA. CoRR (2016)
Iván Olier, Crina Grosan, Noureddin Sadawi, Larisa N. Soldatova, Ross D. King
Meta-QSAR: Learning How to Learn QSARs. MetaSel@PKDD/ECML (2015)
Robert Rozanski, Stefano Bragaglia, Oliver Ray, Ross D. King
Automating the Development of Metabolic Network Models. CMSB (2015)
Ross D. King, Chuan Lu
An investigation into eukaryotic pseudouridine synthases. J. Bioinform. Comput. Biol. 12 (4) (2014)
Larisa N. Soldatova, Daniel Nadis, Ross D. King, Piyali S. Basu, Emma Haddi, Véronique Baumlé, Nigel J. Saunders, Wolfgang Marwan, Brian B. Rudkin
EXACT2: the semantics of biomedical protocols. BMC Bioinform. 15 (S-14) (2014)
Fang Zhou, Claire Q, Ross D. King
Predicting the Geographical Origin of Music. ICDM (2014)
Larisa N. Soldatova, Andrey Rzhetsky, Kurt De Grave, Ross D. King
Representation of probabilistic scientific knowledge. J. Biomed. Semant. 4 (S-1) (2013)
Tanveer A. Faruquie, Ashwin Srinivasan, Ross D. King
Topic Models with Relational Features for Drug Design. ILP (2012)
Ross D. King
Numbers as Data Structures: The Prime Successor Function as Primitive CoRR (2011)
George Macleod Coghill, Ross D. King, Ashwin Srinivasan
Qualitative System Identification from Imperfect Data CoRR (2011)
Paul D. Dobson, Kieran Smallbone, Daniel Jameson, Evangelos Simeonidis, Karin Lanthaler, Pinar Pir, Chuan Lu, Neil Swainston, Warwick B. Dunn, Paul Fisher, Duncan Hull, Marie Brown, Olusegun Oshota, Natalie J. Stanford, Douglas B. Kell, Ross D. King, Stephen G. Oliver, Robert D. Stevens, Pedro Mendes
Further developments towards a genome-scale metabolic model of yeast. BMC Syst. Biol. 4 (2010)
Oliver Ray, Ken E. Whelan, Ross D. King
Logic-Based Steady-State Analysis and Revision of Metabolic Networks with Inhibition. CISIS (2010)
Yihui Liu, Katherine Martin, Andrew Sparkes, Ross D. King
The Analysis of Yeast Cell Morphology Using a Robot Scientist. CIS (2010)
Da Qi, Ross D. King, Andrew L. Hopkins, G. Richard J. Bickerton, Larisa N. Soldatova
An Ontology for Description of Drug Discovery Investigations. J. Integr. Bioinform. 7 (3) (2010)
Amanda C. Schierz, Ross D. King
Drugs and Drug-Like Compounds: Discriminating Approved Pharmaceuticals from Screening-Library Compounds. PRIB (2009)
Oliver Ray, Ken E. Whelan, Ross D. King
A Nonmonotonic Logical Approach for Modelling and Revising Metabolic Networks. CISIS (2009)
Chuan Lu, Ross D. King
An investigation into the population abundance distribution of mRNAs, proteins, and metabolites in biological systems. Bioinform. 25 (16) (2009)
Oliver Ray, Ken E. Whelan, Ross D. King
Automatic Revision of Metabolic Networks through Logical Analysis of Experimental Data. ILP (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. Computer 42 (8) (2009)
Ashwin Srinivasan, Ross D. King
Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming. J. Mach. Learn. Res. 9 (2008)
George Macleod Coghill, Ashwin Srinivasan, Ross D. King
Qualitative System Identification from Imperfect Data. J. Artif. Intell. Res. 32 (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)
Ken E. Whelan, Ross D. King
Using a logical model to predict the growth of yeast. BMC Bioinform. 9 (2008)
Larisa N. Soldatova, Wayne Aubrey, Ross D. King, Amanda Clare
The EXACT description of biomedical protocols. ISMB (2008)
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)
Robert Burbidge, Jem J. Rowland, Ross D. King
Active Learning for Regression Based on Query by Committee. IDEAL (2007)
Michael C. Riley, Amanda Clare, Ross D. King
. BMC Bioinform. 8 (2007)
Amanda Clare, Andreas Karwath, Helen Ougham, Ross D. King
. Bioinform. 22 (13) (2006)
Bård Buttingsrud, Einar Ryeng, Ross D. King, Bjørn K. Alsberg
Representation of molecular structure using quantum topology with inductive logic programming in structure-activity relationships. J. Comput. Aided Mol. Des. 20 (6) (2006)
Ashwin Srinivasan, David Page, Rui Camacho, Ross D. King
Quantitative pharmacophore models with inductive logic programming. Mach. Learn. 64 (1-3) (2006)
Sébastien Ferré, Ross D. King
Finding Motifs in Protein Secondary Structure for Use in Function Prediction. J. Comput. Biol. 13 (3) (2006)
Larisa N. Soldatova, Amanda Clare, Andrew Sparkes, Ross D. King
An ontology for a Robot Scientist. ISMB (Supplement of Bioinformatics) (2006)
Rui Camacho, Ross D. King, Ashwin Srinivasan
Guest editorial. Mach. Learn. 64 (1-3) (2006)
Amanda Clare, Andreas Karwath, Helen Ougham, Ross D. King
. Bioinform. 22 (9) (2006)
Sébastien Ferré, Ross D. King
A Dichotomic Search Algorithm for Mining and Learning in Domain-Specific Logics. Fundam. Informaticae 66 (1-2) (2005)
Ross D. King
The Robot Scientist Project. ALT (2005)
Ross D. King, Michael Young, Amanda Clare, Kenneth Whelan, Jem J. Rowland
The Robot Scientist Project. Discovery Science (2005)
Ross D. King, Simon M. Garrett, George Macleod Coghill
On the use of qualitative reasoning to simulate and identify metabolic pathway. Bioinform. 21 (9) (2005)
Ross D. King
Applying Inductive Logic Programming to Predicting Gene Function. AI Mag. 25 (1) (2004)
George Macleod Coghill, Simon M. Garrett, Ross D. King
Learning Qualitative Metabolic Models. ECAI (2004)
Ross D. King, Mohammed Ouali
Poly-transformation. IDEAL (2004)
Ross D. King, Paul H. Wise, Amanda Clare
Confirmation of data mining based predictions of protein function. Bioinform. 20 (7) (2004)
Sébastien Ferré, Ross D. King
BLID: An Application of Logical Information Systems to Bioinformatics. ICFCA (2004)
Ross D. King
A Personal View of How Best to Apply ILP. ILP (2003)
Ashwin Srinivasan, Ross D. King, Michael Bain
An Empirical Study of the Use of Relevance Information in Inductive Logic Programming. J. Mach. Learn. Res. 4 (2003)
Amanda Clare, Ross D. King
Data Mining the Yeast Genome in a Lazy Functional Language. PADL (2003)
Hannu Toivonen, Ashwin Srinivasan, Ross D. King, Stefan Kramer, Christoph Helma
Statistical Evaluation of the Predictive Toxicology Challenge 2000-2001. Bioinform. 19 (10) (2003)
David P. Enot, Ross D. King
Application of Inductive Logic Programming to Structure-Based Drug Design. PKDD (2003)
Amanda Clare, Ross D. King
Predicting gene function in Saccharomyces cerevisiae. ECCB (2003)
Andreas Karwath, Ross D. King
Homology Induction: the use of machine learning to improve sequence similarity searches. BMC Bioinform. 3 (2002)
Janet Taylor, Ross D. King, Thomas Altmann, Oliver Fiehn
Application of metabolomics to plant genotype discrimination using statistics and machine learning. ECCB (2002)
Amanda Clare, Ross D. King
How well do we understand the clusters found in microarray data? Silico Biol. 2 (4) (2002)
Amanda Clare, Ross D. King
Machine learning of functional class from phenotype data. Bioinform. 18 (1) (2002)
Christoph Helma, Ross D. King, Stefan Kramer, Ashwin Srinivasan
The Predictive Toxicology Challenge 2000-2001. Bioinform. 17 (1) (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) (2001)
Ross D. King, Andreas Karwath, Amanda Clare, Luc Dehaspe
The utility of different representations of protein sequence for predicting functional class. Bioinform. 17 (5) (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) (2001)
Andreas Karwath, Ross D. King
An Automated ILP Server in the Field of Bioinformatics. ILP (2001)
Ross D. King, Ashwin Srinivasan, Luc Dehaspe
Warmr: a data mining tool for chemical data. J. Comput. Aided Mol. Des. 15 (2) (2001)
Amanda Clare, Ross D. King
Knowledge Discovery in Multi-label Phenotype Data. PKDD (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) (2001)
Ross D. King, Andreas Karwath, Amanda Clare, Luc Dehaspe
Genome scale prediction of protein functional class from sequence using data mining. KDD (2000)
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) (1999)
Ashwin Srinivasan, Ross D. King, Douglas W. Bristol
An Assessment of ILP-Assisted Models for Toxicology and the PTE-3 Experiment. ILP (1999)
Ashwin Srinivasan, Ross D. King, Douglas W. Bristol
An assessment of submissions made to the Predictive Toxicology Evaluation Challenge. IJCAI (1999)
Luc Dehaspe, Hannu Toivonen, Ross D. King
Finding Frequent Substructures in Chemical Compounds. KDD (1998)
Ross D. King, Ashwin Srinivasan
The discovery of indicator variables for QSAR using inductive logic programming. J. Comput. Aided Mol. Des. 12 (6) (1998)
Stephen Muggleton, Ashwin Srinivasan, Ross D. King, Michael J. E. Sternberg
Biochemical Knowledge Discovery Using Inductive Logic Programming. Discovery Science (1998)
Ashwin Srinivasan, Ross D. King, Stephen Muggleton, Michael J. E. Sternberg
The Predictive Toxicology Evaluation Challenge. IJCAI (1) (1997)
Ross D. King, Mansoor A. S. Saqi, Roger A. Sayle, Michael J. E. Sternberg
DSC: public domain protein secondary structure predication. Comput. Appl. Biosci. 13 (4) (1997)
Ashwin Srinivasan, Ross D. King, Stephen Muggleton, Michael J. E. Sternberg
Carcinogenesis Predictions Using ILP. ILP (1997)
Ross D. King, Ashwin Srinivasan
The discovery of indicator variables for QSAR using inductive logic programming. J. Comput. Aided Mol. Des. 11 (6) (1997)

Ross D. King.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ross D. King