Colin Campbell

ORCID

Publication Activity (10 Years)

Years Active: 1991-2023
Publications (10 Years): 16

Top Venues

Newcastle University, Newcastle upon Tyne, UK (PHD)

Education History

Newcastle University, Newcastle upon Tyne, UK

PHD

Publications

Colin Campbell, Frederic T. Chong, Denny Dahl, Paige Frederick, Palash Goiporia, Pranav Gokhale, Benjamin 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
Superstaq: Deep Optimization of Quantum Programs. QCE (2023)
Colin Campbell, Edward Dahl
QAOA of the Highest Order. ICSA Companion (2022)
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
1.4kDots Consumer LiDAR up to 10m Based on Indirect Time-of-Flight Sensor. IEEE SENSORS (2022)
Colin Campbell, Laura Russo, Réka Albert, Angus Buckling, Katriona Shea
Whole community invasions and the integration of novel ecosystems. PLoS Comput. Biol. 18 (6) (2022)
Anne H. H. Ngu, Jesuloluwa S. Eyitayo, Guowei Yang, Colin Campbell, Quan Z. Sheng, Jianyuan Ni
An IoT Edge Computing Framework Using Cordova Accessor Host. IEEE Internet Things J. 9 (1) (2022)
Kirk Plangger, Colin Campbell, Karen Robson, Matteo Montecchi
Little rewards, big changes: Using exercise analytics to motivate sustainable changes in physical activity. Inf. Manag. 59 (5) (2022)
Mark F. Rogers, Tom R. Gaunt, Colin Campbell
CScape-somatic: distinguishing driver and passenger point mutations in the cancer genome. Bioinform. 37 (22) (2021)
Fabrice Martin, Pascal Mellot, Adam Caley, Bruce Rae, Colin Campbell, Duncan Hall, Sara Pellegrini
An all-in-one 64-zone SPAD-based Direct-Time-of-Flight Ranging Sensor with Embedded Illumination. IEEE SENSORS (2021)
Mark F. Rogers, Tom R. Gaunt, Colin Campbell
Prediction of driver variants in the cancer genome via machine learning methodologies. Briefings Bioinform. 22 (4) (2021)
Ellen Brooks-Pollock, Leon Danon, Hester Korthals Altes, Jennifer A. Davidson, Andrew M. T. Pollock, Dick van Soolingen, Colin Campbell, Maeve K. Lalor
A model of tuberculosis clustering in low incidence countries reveals more transmission in the United Kingdom than the Netherlands between 2010 and 2015. PLoS Comput. Biol. 16 (3) (2020)
Mark F. Rogers, Tom R. Gaunt, Colin Campbell
CScape-somatic: distinguishing driver and passenger point mutations in the cancer genome. Bioinform. 36 (12) (2020)
Mark F. Rogers, Hashem A. Shihab, Matthew E. Mort, David N. Cooper, Tom R. Gaunt, Colin Campbell
FATHMM-XF: accurate prediction of pathogenic point mutations via extended features. Bioinform. 34 (3) (2018)
Hashem A. Shihab, Mark F. Rogers, Michael Ferlaino, Colin Campbell, Tom R. Gaunt
GTB - an online genome tolerance browser. BMC Bioinform. 18 (1) (2017)
Michael Ferlaino, Mark F. Rogers, Hashem A. Shihab, Matthew E. Mort, David N. Cooper, Tom R. Gaunt, Colin Campbell
An integrative approach to predicting the functional effects of small indels in non-coding regions of the human genome. BMC Bioinform. 18 (1) (2017)
Hashem A. Shihab, Mark F. Rogers, Colin Campbell, Tom R. Gaunt
HIPred: an integrative approach to predicting haploinsufficient genes. Bioinform. 33 (12) (2017)
Colin Campbell, Katriona Shea, Suann Yang, Réka Albert
Motif profile dynamics and transient species in a Boolean model of mutualistic ecological communities. J. Complex Networks 4 (1) (2016)
Hashem A. Shihab, Mark F. Rogers, Julian Gough, Matthew E. Mort, David N. Cooper, Ian N. M. Day, Tom R. Gaunt, Colin Campbell
An integrative approach to predicting the functional effects of non-coding and coding sequence variation. Bioinform. 31 (10) (2015)
Mark F. Rogers, Colin Campbell, Hashem A. Shihab, Tom R. Gaunt, Matthew E. Mort, David N. Cooper
Sequential data selection for predicting the pathogenic effects of sequence variation. BIBM (2015)
Carlos Fernandez-Lozano, José Antonio Seoane Fernández, Marcos Gestal, Tom R. Gaunt, Julian Dorado, Colin Campbell
Texture classification using feature selection and kernel-based techniques. Soft Comput. 19 (9) (2015)
José A. Seoane, Ian N. M. Day, Colin Campbell, Juan P. Casas, Tom R. Gaunt
Using a Random Forest proximity measure for variable importance stratification in genotypic data. IWBBIO (2014)
José A. Seoane, Ian N. M. Day, Juan P. Casas, Colin Campbell, Tom R. Gaunt
A Random Forest proximity matrix as a new measure for gene annotation. ESANN (2014)
José A. Seoane, Colin Campbell, Ian N. M. Day, Juan P. Casas, Tom R. Gaunt
Canonical Correlation Analysis for Gene-Based Pleiotropy Discovery. PLoS Comput. Biol. 10 (10) (2014)
José A. Seoane, Ian N. M. Day, Tom R. Gaunt, Colin Campbell
A pathway-based data integration framework for prediction of disease progression. Bioinform. 30 (6) (2014)
Colin Campbell, Réka Albert
Stabilization of perturbed Boolean network attractors through compensatory interactions. BMC Syst. Biol. 8 (2014)
Carlos Fernandez-Lozano, José A. Seoane, Marcos Gestal, Tom R. Gaunt, Colin Campbell
Texture Classification Using Kernel-Based Techniques. IWANN (1) (2013)
Yiming Ying, Qiang Wu, Colin Campbell
Learning the coordinate gradients. Adv. Comput. Math. 37 (3) (2012)
Kaizhu Huang, Yiming Ying, Colin Campbell
Generalized sparse metric learning with relative comparisons. Knowl. Inf. Syst. 28 (1) (2011)
Yiming Ying, Colin Campbell
Rademacher Chaos Complexities for Learning the Kernel Problem. Neural Comput. 22 (11) (2010)
Peng Li, Yiming Ying, Colin Campbell
A Variational Approach to Semi-Supervised Clustering. ESANN (2009)
Yiming Ying, Kaizhu Huang, Colin Campbell
Sparse Metric Learning via Smooth Optimization. NIPS (2009)
Yiming Ying, Colin Campbell, Theodoros Damoulas, Mark A. Girolami
Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm. PRIB (2009)
Kaizhu Huang, Yiming Ying, Colin Campbell
GSML: A Unified Framework for Sparse Metric Learning. ICDM (2009)
Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell
Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data. IJCNN (2009)
Yiming Ying, Colin Campbell
Generalization Bounds for Learning the Kernel Problem. COLT (2009)
Yiming Ying, Colin Campbell, Mark A. Girolami
Analysis of SVM with Indefinite Kernels. NIPS (2009)
Yiming Ying, Kaizhu Huang, Colin Campbell
Enhanced protein fold recognition through a novel data integration approach. BMC Bioinform. 10 (2009)
Theodoros Damoulas, Yiming Ying, Mark A. Girolami, Colin Campbell
Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins. ICMLA (2008)
Yiming Ying, Colin Campbell
Learning Coordinate Gradients with Multi-Task Kernels. COLT (2008)
Margus Veanes, Colin Campbell, Wolfgang Grieskamp, Wolfram Schulte, Nikolai Tillmann, Lev Nachmanson
Model-Based Testing of Object-Oriented Reactive Systems with Spec Explorer. Formal Methods and Testing (2008)
Margus Veanes, Juhan P. Ernits, Colin Campbell
State Isomorphism in Model Programs with Abstract Data Structures. FORTE (2007)
Margus Veanes, Colin Campbell, Wolfram Schulte
Composition of Model Programs. FORTE (2007)
Margus Veanes, Pritam Roy, Colin Campbell
Online Testing with Reinforcement Learning. FATES/RV (2006)
Colin Campbell, Gautam Ray, Waleed A. Muhanna
Search and Collusion in Electronic Markets. Manag. Sci. 51 (3) (2005)
Colin Campbell, Margus Veanes, Jiale Huo, Alexandre Petrenko
Multiplexing of Partially Ordered Events. TestCom (2005)
Wolfgang Grieskamp, Nikolai Tillmann, Colin Campbell, Wolfram Schulte, Margus Veanes
Action Machines - Towards a Framework for Model Composition, Exploration and Conformance Testing Based on Symbolic Computation. QSIC (2005)
Simon Rogers, Mark A. Girolami, Colin Campbell, Rainer Breitling
The Latent Process Decomposition of cDNA Microarray Data Sets. IEEE ACM Trans. Comput. Biol. Bioinform. 2 (2) (2005)
Margus Veanes, Colin Campbell, Wolfram Schulte, Nikolai Tillmann
Online testing with model programs. ESEC/SIGSOFT FSE (2005)
Colin Campbell, Wolfgang Grieskamp, Lev Nachmanson, Wolfram Schulte, Nikolai Tillmann, Margus Veanes
Testing Concurrent Object-Oriented Systems with Spec Explorer. FM (2005)
Colin Campbell, Margus Veanes
State Exploration with Multiple State Groupings. Abstract State Machines (2005)
Colin Campbell, Chih-Jen Lin, S. Sathiya Keerthi, V. David Sánchez A.
Special issue on support vector machines. Neurocomputing 55 (1-2) (2003)
Sayan Mukherjee, Pablo Tamayo, Simon Rogers, Ryan M. Rifkin, Anna Engle, Colin Campbell, Todd R. Golub, Jill P. Mesirov
Estimating Dataset Size Requirements for Classifying DNA Microarray Data. J. Comput. Biol. 10 (2) (2003)
Colin Campbell, Pierre M. Fiorini
Simulation of Fault-Tolerant Parallel Systems Design Paradigms for Extensible Solutions. PDPTA (2003)
Colin Campbell
New Analytical Techniques for the Interpretation of Microarray Data. Bioinform. 19 (9) (2003)
Nello Cristianini, Colin Campbell, Chris Burges
Editorial: Kernel Methods: Current Research and Future Directions. Mach. Learn. 46 (1-3) (2002)
Colin Campbell
Kernel methods: a survey of current techniques. Neurocomputing 48 (1-4) (2002)
Ralf Herbrich, Thore Graepel, Colin Campbell
Bayes Point Machines. J. Mach. Learn. Res. 1 (2001)
Colin Campbell, Kristin P. Bennett
A Linear Programming Approach to Novelty Detection. NIPS (2000)
Ralf Herbrich, Thore Graepel, Colin Campbell
Robust Bayes Point Machines. ESANN (2000)
Kristin P. Bennett, Colin Campbell
Support Vector Machines: Hype or Hallelujah? SIGKDD Explor. 2 (2) (2000)
Colin Campbell, Nello Cristianini, Alexander J. Smola
Query Learning with Large Margin Classifiers. ICML (2000)
Colin Campbell
Algorithmic approaches to training Support Vector Machines: a survey. ESANN (2000)
Nello Cristianini, Colin Campbell, John Shawe-Taylor
A multiplicative updating algorithm for training support vector machine. ESANN (1999)
Nello Cristianini, Colin Campbell, John Shawe-Taylor
Dynamically Adapting Kernels in Support Vector Machines. NIPS (1998)
Colin Campbell, Daniel P. Romero
Identification and characterization of the RAD51 gene from the ciliate Tetrahymena thermophila. Nucleic Acids Res. 26 (13) (1998)
Thilo-Thomas Frieß, Nello Cristianini, Colin Campbell
The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines. ICML (1998)
Colin Campbell, Simon J. Godsill
On a new stochastic version of the EM algorithm. EUSIPCO (1998)
Alvin J. Surkan, Colin Campbell
A constructive algorithm for neural networks that generalize. APL (1997)
Colin Campbell, Conrado J. Pérez Vicente
Constructing feed-forward neural networks for binary classification tasks. ESANN (1995)
Colin Campbell, Conrado J. Pérez Vicente
The target switch algorithm: a constructive learning procedure for feed-forward neural networks. Neural Comput. 7 (6) (1995)
Colin Campbell, Stephen Coombes, Alvin J. Surkan
A Constructive Algorithm for Building a Feed-Forward Neural Network. SNN Symposium on Neural Networks (1995)
Colin Campbell
Neural Networks with Sign-Constrained Weights. Neural Comput. Appl. 1 (3) (1993)
Colin Campbell
Dynamic Thresholds and Attractor Neural Networks. IWANN (1991)

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Publication Activity (10 Years)

Top Topics

Top Venues

Colin Campbell