Colin Campbell

According to our database, Colin Campbell authored at least 75 papers between 1990 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Superstaq: Deep Optimization of Quantum Programs.

Colin Campbell, Frederic T. Chong, Denny Dahl, Paige Frederick, Palash Goiporia, Pranav Gokhale, Benjamin P. Hall, Salahedeen Issa, Eric Jones, Stephanie Lee, Andrew Litteken, Victory Omole, David Owusu-Antwi, Michael A. Perlin, Richard Rines, Kaitlin N. Smith, Noah Goss, Akel Hashim, Ravi Naik, Ed Younis, Daniel S. Lobser, Christopher G. Yale, Benchen Huang, Ji Liu

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

2022

Whole community invasions and the integration of novel ecosystems.

Colin Campbell, Laura Russo, Réka Albert, Angus Buckling, Katriona Shea

PLoS Comput. Biol., 2022

An IoT Edge Computing Framework Using Cordova Accessor Host.

Anne H. H. Ngu, Jesuloluwa S. Eyitayo, Guowei Yang, Colin Campbell, Quan Z. Sheng, Jianyuan Ni

IEEE Internet Things J., 2022

Little rewards, big changes: Using exercise analytics to motivate sustainable changes in physical activity.

Kirk Plangger, Colin Campbell, Karen Robson, Matteo Montecchi

Inf. Manag., 2022

1.4kDots Consumer LiDAR up to 10m Based on Indirect Time-of-Flight Sensor.

Cédric Tubert, Pascal Mellot, Jose Sanches, Jeremie Teyssier, Valentin Rebière, Thibault Augey, Thomas Bouchet, Valerie Pena-Laroche, Adrien Bonnat, Marc Sanchez, Franck Hingant, Jean-Raphael Bezal, Patrick Laurent, Maxime Mellier, Jeannie Chinal, Matteo Fissore, Kevin Channon, James Downing, Calum Ritchie, Colin Campbell, William Halliday, Andy Price, Sivakumar K. Singaravadivelu, Paul Varillon, Arnaud Deleule, Lucas Hu, Robin Wu

Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

QAOA of the Highest Order.

Colin Campbell, Edward Dahl

Proceedings of the IEEE 19th International Conference on Software Architecture Companion, 2022

2021

Prediction of driver variants in the cancer genome via machine learning methodologies.

Mark F. Rogers, Tom R. Gaunt, Colin Campbell

Briefings Bioinform., 2021

An all-in-one 64-zone SPAD-based Direct-Time-of-Flight Ranging Sensor with Embedded Illumination.

Fabrice Martin, Pascal Mellot, Adam Caley, Bruce Rae, Colin Campbell, Duncan Hall, Sara Pellegrini

Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021

2020

A model of tuberculosis clustering in low incidence countries reveals more transmission in the United Kingdom than the Netherlands between 2010 and 2015.

Ellen Brooks-Pollock, Leon Danon, Hester Korthals Altes, Jennifer A. Davidson, Andrew M. T. Pollock, Dick van Soolingen, Colin Campbell, Maeve K. Lalor

PLoS Comput. Biol., 2020

CScape-somatic: distinguishing driver and passenger point mutations in the cancer genome.

Mark F. Rogers, Tom R. Gaunt, Colin Campbell

Bioinform., 2020

2018

FATHMM-XF: accurate prediction of pathogenic point mutations via extended features.

Mark F. Rogers, Hashem A. Shihab, Matthew E. Mort, David N. Cooper, Tom R. Gaunt, Colin Campbell

Bioinform., 2018

2017

GTB - an online genome tolerance browser.

Hashem A. Shihab, Mark F. Rogers, Michael Ferlaino, Colin Campbell, Tom R. Gaunt

BMC Bioinform., 2017

An integrative approach to predicting the functional effects of small indels in non-coding regions of the human genome.

Michael Ferlaino, Mark F. Rogers, Hashem A. Shihab, Matthew E. Mort, David N. Cooper, Tom R. Gaunt, Colin Campbell

BMC Bioinform., 2017

HIPred: an integrative approach to predicting haploinsufficient genes.

Hashem A. Shihab, Mark F. Rogers, Colin Campbell, Tom R. Gaunt

Bioinform., 2017

2016

Quantification of Regulation in Networks with Positive and Negative Interaction Weights.

Colin Campbell, Réka Albert

Encyclopedia of Algorithms, 2016

Motif profile dynamics and transient species in a Boolean model of mutualistic ecological communities.

Colin Campbell, Katriona Shea, Suann Yang, Réka Albert

J. Complex Networks, 2016

2015

Texture classification using feature selection and kernel-based techniques.

Carlos Fernandez-Lozano, José Antonio Seoane Fernández, Marcos Gestal, Tom R. Gaunt, Julián Dorado, Colin Campbell

Soft Comput., 2015

An integrative approach to predicting the functional effects of non-coding and coding sequence variation.

Hashem A. Shihab, Mark F. Rogers, Julian Gough, Matthew E. Mort, David N. Cooper, Ian N. M. Day, Tom R. Gaunt, Colin Campbell

Bioinform., 2015

Sequential data selection for predicting the pathogenic effects of sequence variation.

Mark F. Rogers, Colin Campbell, Hashem A. Shihab, Tom R. Gaunt, Matthew E. Mort, David N. Cooper

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

Canonical Correlation Analysis for Gene-Based Pleiotropy Discovery.

José A. Seoane, Colin Campbell, Ian N. M. Day, Juan P. Casas, Tom R. Gaunt

PLoS Comput. Biol., 2014

Stabilization of perturbed Boolean network attractors through compensatory interactions.

Colin Campbell, Réka Albert

BMC Syst. Biol., 2014

A pathway-based data integration framework for prediction of disease progression.

José A. Seoane, Ian N. M. Day, Tom R. Gaunt, Colin Campbell

Bioinform., 2014

Using a Random Forest proximity measure for variable importance stratification in genotypic data.

José A. Seoane, Ian N. M. Day, Colin Campbell, Juan P. Casas, Tom R. Gaunt

Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

A Random Forest proximity matrix as a new measure for gene annotation.

José A. Seoane, Ian N. M. Day, Juan P. Casas, Colin Campbell, Tom R. Gaunt

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013

Texture Classification Using Kernel-Based Techniques.

Carlos Fernandez-Lozano, José A. Seoane, Marcos Gestal, Tom R. Gaunt, Colin Campbell

Proceedings of the Advances in Computational Intelligence, 2013

2012

Learning the coordinate gradients.

Yiming Ying, Qiang Wu, Colin Campbell

Adv. Comput. Math., 2012

2011

Learning with Support Vector Machines

Colin Campbell, Yiming Ying

Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01552-6, 2011

Generalized sparse metric learning with relative comparisons.

Kaizhu Huang, Yiming Ying, Colin Campbell

Knowl. Inf. Syst., 2011

2010

Rademacher Chaos Complexities for Learning the Kernel Problem.

Yiming Ying, Colin Campbell

Neural Comput., 2010

2009

Enhanced protein fold recognition through a novel data integration approach.

Yiming Ying, Kaizhu Huang, Colin Campbell

BMC Bioinform., 2009

Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm.

Yiming Ying, Colin Campbell, Theodoros Damoulas, Mark A. Girolami

Proceedings of the Pattern Recognition in Bioinformatics, 2009

Sparse Metric Learning via Smooth Optimization.

Yiming Ying, Kaizhu Huang, Colin Campbell

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Analysis of SVM with Indefinite Kernels.

Yiming Ying, Colin Campbell, Mark A. Girolami

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data.

Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell

Proceedings of the International Joint Conference on Neural Networks, 2009

GSML: A Unified Framework for Sparse Metric Learning.

Kaizhu Huang, Yiming Ying, Colin Campbell

Proceedings of the ICDM 2009, 2009

A Variational Approach to Semi-Supervised Clustering.

Peng Li, Yiming Ying, Colin Campbell

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Generalization Bounds for Learning the Kernel Problem.

Yiming Ying, Colin Campbell

Proceedings of the COLT 2009, 2009

2008

Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins.

Theodoros Damoulas, Yiming Ying, Mark A. Girolami, Colin Campbell

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Model-Based Testing of Object-Oriented Reactive Systems with Spec Explorer.

Margus Veanes, Colin Campbell, Wolfgang Grieskamp, Wolfram Schulte, Nikolai Tillmann, Lev Nachmanson

Proceedings of the Formal Methods and Testing, 2008

Learning Coordinate Gradients with Multi-Task Kernels.

Yiming Ying, Colin Campbell

Proceedings of the 21st Annual Conference on Learning Theory, 2008

2007

State Isomorphism in Model Programs with Abstract Data Structures.

Margus Veanes, Juhan P. Ernits, Colin Campbell

Proceedings of the Formal Techniques for Networked and Distributed Systems, 2007

Composition of Model Programs.

Margus Veanes, Colin Campbell, Wolfram Schulte

Proceedings of the Formal Techniques for Networked and Distributed Systems, 2007

2006

Online Testing with Reinforcement Learning.

Margus Veanes, Pritam Roy, Colin Campbell

Proceedings of the Formal Approaches to Software Testing and Runtime Verification, 2006

2005

The Latent Process Decomposition of cDNA Microarray Data Sets.

Simon Rogers, Mark A. Girolami, Colin Campbell, Rainer Breitling

IEEE ACM Trans. Comput. Biol. Bioinform., 2005

Search and Collusion in Electronic Markets.

Colin Campbell, Gautam Ray, Waleed A. Muhanna

Manag. Sci., 2005

Online testing with model programs.

Margus Veanes, Colin Campbell, Wolfram Schulte, Nikolai Tillmann

Proceedings of the 10th European Software Engineering Conference held jointly with 13th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2005

Action Machines - Towards a Framework for Model Composition, Exploration and Conformance Testing Based on Symbolic Computation.

Wolfgang Grieskamp, Nikolai Tillmann, Colin Campbell, Wolfram Schulte, Margus Veanes

Proceedings of the Fifth International Conference on Quality Software (QSIC 2005), 2005

Multiplexing of Partially Ordered Events.

Colin Campbell, Margus Veanes, Jiale Huo, Alexandre Petrenko

Proceedings of the Testing of Communicating Systems, 2005

Testing Concurrent Object-Oriented Systems with Spec Explorer.

Colin Campbell, Wolfgang Grieskamp, Lev Nachmanson, Wolfram Schulte, Nikolai Tillmann, Margus Veanes

Proceedings of the FM 2005: Formal Methods, 2005

State Exploration with Multiple State Groupings.

Colin Campbell, Margus Veanes

Proceedings of the 12th International Workshop on Abstract State Machines, 2005

2003

Estimating Dataset Size Requirements for Classifying DNA Microarray Data.

Sayan Mukherjee, Pablo Tamayo, Simon Rogers, Ryan M. Rifkin, Anna Engle, Colin Campbell, Todd R. Golub, Jill P. Mesirov

J. Comput. Biol., 2003

Special issue on support vector machines.

Colin Campbell, Chih-Jen Lin, S. Sathiya Keerthi, V. David Sánchez A.

Neurocomputing, 2003

New Analytical Techniques for the Interpretation of Microarray Data.

Colin Campbell

Bioinform., 2003

Simulation of Fault-Tolerant Parallel Systems Design Paradigms for Extensible Solutions.

Colin Campbell, Pierre M. Fiorini

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2003

2002

Editorial: Kernel Methods: Current Research and Future Directions.

Nello Cristianini, Colin Campbell, Chris Burges

Mach. Learn., 2002

Kernel methods: a survey of current techniques.

Colin Campbell

Neurocomputing, 2002

2001

Bayes Point Machines.

Ralf Herbrich, Thore Graepel, Colin Campbell

J. Mach. Learn. Res., 2001

2000

Support Vector Machines: Hype or Hallelujah?

Kristin P. Bennett, Colin Campbell

SIGKDD Explor., 2000

A Linear Programming Approach to Novelty Detection.

Colin Campbell, Kristin P. Bennett

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Query Learning with Large Margin Classifiers.

Colin Campbell, Nello Cristianini, Alexander J. Smola

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Robust Bayes Point Machines.

Ralf Herbrich, Thore Graepel, Colin Campbell

Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000

Algorithmic approaches to training Support Vector Machines: a survey.

Colin Campbell

Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000

1999

A multiplicative updating algorithm for training support vector machine.

Nello Cristianini, Colin Campbell, John Shawe-Taylor

Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1998

Identification and characterization of the RAD51 gene from the ciliate Tetrahymena thermophila.

Colin Campbell, Daniel P. Romero

Nucleic Acids Res., 1998

Dynamically Adapting Kernels in Support Vector Machines.

Nello Cristianini, Colin Campbell, John Shawe-Taylor

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines.

Thilo-Thomas Frieß, Nello Cristianini, Colin Campbell

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

On a new stochastic version of the EM algorithm.

Colin Campbell, Simon J. Godsill

Proceedings of the 9th European Signal Processing Conference, 1998

The MATLAB 5 handbook.

Darren Redfern, Colin Campbell

Springer, ISBN: 0387942009, 1998

1997

A constructive algorithm for neural networks that generalize.

Alvin J. Surkan, Colin Campbell

Proceedings of the International Conference on APL 1997, 1997

1995

The target switch algorithm: a constructive learning procedure for feed-forward neural networks.

Colin Campbell, Conrado J. Pérez Vicente

Neural Comput., 1995

A Constructive Algorithm for Building a Feed-Forward Neural Network.

Colin Campbell, Stephen Coombes, Alvin J. Surkan

Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 1995

Constructing feed-forward neural networks for binary classification tasks.

Colin Campbell, Conrado J. Pérez Vicente

Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995

1993

Neural Networks with Sign-Constrained Weights.

Colin Campbell

Neural Comput. Appl., 1993

1991

Dynamic Thresholds and Attractor Neural Networks.

Colin Campbell

Proceedings of the Artificial Neural Networks, 1991

1990

The representation of knowledge in knowledge based systems for chemical and process plant selection.

Colin Campbell

PhD thesis, 1990