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2020 – today
- 2023
[c39]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:
Superstaq: Deep Optimization of Quantum Programs. QCE 2023: 1020-1032- 2022
- [j33]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): 103216 (2022) - [j32]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): 671-683 (2022) - [j31]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) - [c38]Colin Campbell, Edward Dahl:
QAOA of the Highest Order. ICSA Companion 2022: 141-146 - [c37]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: 1-4 - 2021
- [j30]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) - [j29]Mark F. Rogers, Tom R. Gaunt, Colin Campbell:
CScape-somatic: distinguishing driver and passenger point mutations in the cancer genome. Bioinform. 37(22): 4298 (2021) - [c36]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: 1-4 - 2020
- [j28]Mark F. Rogers, Tom R. Gaunt, Colin Campbell:
CScape-somatic: distinguishing driver and passenger point mutations in the cancer genome. Bioinform. 36(12): 3637-3644 (2020) - [j27]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)
2010 – 2019
- 2018
- [j26]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): 511-513 (2018) - 2017
- [j25]Hashem A. Shihab, Mark F. Rogers, Colin Campbell, Tom R. Gaunt:
HIPred: an integrative approach to predicting haploinsufficient genes. Bioinform. 33(12): 1751-1757 (2017) - [j24]Hashem A. Shihab, Mark F. Rogers, Michael Ferlaino, Colin Campbell, Tom R. Gaunt:
GTB - an online genome tolerance browser. BMC Bioinform. 18(1): 20:1-20:6 (2017) - [j23]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): 442:1-442:8 (2017) - 2016
- [j22]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): 127-139 (2016) - [r1]Colin Campbell, Réka Albert:
Quantification of Regulation in Networks with Positive and Negative Interaction Weights. Encyclopedia of Algorithms 2016: 1642-1646 - 2015
- [j21]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): 1536-1543 (2015) - [j20]Carlos Fernandez-Lozano, José Antonio Seoane Fernández, Marcos Gestal, Tom R. Gaunt, Julián Dorado, Colin Campbell:
Texture classification using feature selection and kernel-based techniques. Soft Comput. 19(9): 2469-2480 (2015) - [c35]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: 639-644 - 2014
- [j19]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): 838-845 (2014) - [j18]Colin Campbell, Réka Albert:
Stabilization of perturbed Boolean network attractors through compensatory interactions. BMC Syst. Biol. 8: 53 (2014) - [j17]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) - [c34]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 - [c33]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: 1049-1060 - 2013
- [c32]Carlos Fernandez-Lozano, José A. Seoane, Marcos Gestal, Tom R. Gaunt, Colin Campbell:
Texture Classification Using Kernel-Based Techniques. IWANN (1) 2013: 427-434 - 2012
- [j16]Yiming Ying, Qiang Wu, Colin Campbell:
Learning the coordinate gradients. Adv. Comput. Math. 37(3): 355-378 (2012) - 2011
- [b3]Colin Campbell, Yiming Ying:
Learning with Support Vector Machines. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2011, ISBN 978-3-031-00424-7 - [j15]Kaizhu Huang, Yiming Ying, Colin Campbell:
Generalized sparse metric learning with relative comparisons. Knowl. Inf. Syst. 28(1): 25-45 (2011) - 2010
- [j14]Yiming Ying, Colin Campbell:
Rademacher Chaos Complexities for Learning the Kernel Problem. Neural Comput. 22(11): 2858-2886 (2010)
2000 – 2009
- 2009
- [j13]Yiming Ying, Kaizhu Huang, Colin Campbell:
Enhanced protein fold recognition through a novel data integration approach. BMC Bioinform. 10: 267 (2009) - [c31]Yiming Ying, Colin Campbell:
Generalization Bounds for Learning the Kernel Problem. COLT 2009 - [c30]Peng Li, Yiming Ying, Colin Campbell:
A Variational Approach to Semi-Supervised Clustering. ESANN 2009 - [c29]Kaizhu Huang, Yiming Ying, Colin Campbell:
GSML: A Unified Framework for Sparse Metric Learning. ICDM 2009: 189-198 - [c28]Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell:
Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data. IJCNN 2009: 1272-1277 - [c27]Yiming Ying, Colin Campbell, Mark A. Girolami:
Analysis of SVM with Indefinite Kernels. NIPS 2009: 2205-2213 - [c26]Yiming Ying, Kaizhu Huang, Colin Campbell:
Sparse Metric Learning via Smooth Optimization. NIPS 2009: 2214-2222 - [c25]Yiming Ying, Colin Campbell, Theodoros Damoulas, Mark A. Girolami:
Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm. PRIB 2009: 427-438 - 2008
- [c24]Yiming Ying, Colin Campbell:
Learning Coordinate Gradients with Multi-Task Kernels. COLT 2008: 217-228 - [c23]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: 39-76 - [c22]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: 577-582 - 2007
- [c21]Margus Veanes, Juhan P. Ernits, Colin Campbell:
State Isomorphism in Model Programs with Abstract Data Structures. FORTE 2007: 112-127 - [c20]Margus Veanes, Colin Campbell, Wolfram Schulte:
Composition of Model Programs. FORTE 2007: 128-142 - 2006
- [c19]Margus Veanes, Pritam Roy, Colin Campbell:
Online Testing with Reinforcement Learning. FATES/RV 2006: 240-253 - 2005
- [j12]Colin Campbell, Gautam Ray, Waleed A. Muhanna:
Search and Collusion in Electronic Markets. Manag. Sci. 51(3): 497-507 (2005) - [j11]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): 143-156 (2005) - [c18]Colin Campbell, Margus Veanes:
State Exploration with Multiple State Groupings. Abstract State Machines 2005: 119-130 - [c17]Colin Campbell, Wolfgang Grieskamp, Lev Nachmanson, Wolfram Schulte, Nikolai Tillmann, Margus Veanes:
Testing Concurrent Object-Oriented Systems with Spec Explorer. FM 2005: 542-547 - [c16]Colin Campbell, Margus Veanes, Jiale Huo, Alexandre Petrenko:
Multiplexing of Partially Ordered Events. TestCom 2005: 97-110 - [c15]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: 72-82 - [c14]Margus Veanes, Colin Campbell, Wolfram Schulte, Nikolai Tillmann:
Online testing with model programs. ESEC/SIGSOFT FSE 2005: 273-282 - 2003
- [j10]Colin Campbell:
New Analytical Techniques for the Interpretation of Microarray Data. Bioinform. 19(9): 1045 (2003) - [j9]Colin Campbell, Chih-Jen Lin, S. Sathiya Keerthi, V. David Sánchez A.:
Special issue on support vector machines. Neurocomputing 55(1-2): 1-3 (2003) - [j8]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): 119-142 (2003) - [c13]Colin Campbell, Pierre M. Fiorini:
Simulation of Fault-Tolerant Parallel Systems Design Paradigms for Extensible Solutions. PDPTA 2003: 1359-1362 - 2002
- [j7]Colin Campbell:
Kernel methods: a survey of current techniques. Neurocomputing 48(1-4): 63-84 (2002) - [j6]Nello Cristianini, Colin Campbell, Chris Burges:
Editorial: Kernel Methods: Current Research and Future Directions. Mach. Learn. 46(1-3): 5-9 (2002) - 2001
- [j5]Ralf Herbrich, Thore Graepel, Colin Campbell:
Bayes Point Machines. J. Mach. Learn. Res. 1: 245-279 (2001) - 2000
- [j4]Kristin P. Bennett, Colin Campbell:
Support Vector Machines: Hype or Hallelujah? SIGKDD Explor. 2(2): 1-13 (2000) - [c12]Colin Campbell:
Algorithmic approaches to training Support Vector Machines: a survey. ESANN 2000: 27-36 - [c11]Ralf Herbrich, Thore Graepel, Colin Campbell:
Robust Bayes Point Machines. ESANN 2000: 49-54 - [c10]Colin Campbell, Nello Cristianini, Alexander J. Smola:
Query Learning with Large Margin Classifiers. ICML 2000: 111-118 - [c9]Colin Campbell, Kristin P. Bennett:
A Linear Programming Approach to Novelty Detection. NIPS 2000: 395-401
1990 – 1999
- 1999
- [c8]Nello Cristianini, Colin Campbell, John Shawe-Taylor:
A multiplicative updating algorithm for training support vector machine. ESANN 1999: 189-194 - 1998
- [b2]Darren Redfern, Colin Campbell:
The MATLAB 5 handbook. Springer 1998, ISBN 0387942009, pp. I-XI, 1-488 - [j3]Colin Campbell, Daniel P. Romero:
Identification and characterization of the RAD51 gene from the ciliate Tetrahymena thermophila. Nucleic Acids Res. 26(13): 3165-3172 (1998) - [c7]Colin Campbell, Simon J. Godsill:
On a new stochastic version of the EM algorithm. EUSIPCO 1998: 1-4 - [c6]Thilo-Thomas Frieß, Nello Cristianini, Colin Campbell:
The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines. ICML 1998: 188-196 - [c5]Nello Cristianini, Colin Campbell, John Shawe-Taylor:
Dynamically Adapting Kernels in Support Vector Machines. NIPS 1998: 204-210 - 1997
- [c4]Alvin J. Surkan, Colin Campbell:
A constructive algorithm for neural networks that generalize. APL 1997: 35-42 - 1995
- [j2]Colin Campbell, Conrado J. Pérez Vicente:
The target switch algorithm: a constructive learning procedure for feed-forward neural networks. Neural Comput. 7(6): 1245-1264 (1995) - [c3]Colin Campbell, Conrado J. Pérez Vicente:
Constructing feed-forward neural networks for binary classification tasks. ESANN 1995 - [c2]Colin Campbell, Stephen Coombes, Alvin J. Surkan:
A Constructive Algorithm for Building a Feed-Forward Neural Network. SNN Symposium on Neural Networks 1995: 199-202 - 1993
- [j1]Colin Campbell:
Neural Networks with Sign-Constrained Weights. Neural Comput. Appl. 1(3): 188-193 (1993) - 1991
- [c1]Colin Campbell:
Dynamic Thresholds and Attractor Neural Networks. IWANN 1991: 189-195 - 1990
- [b1]Colin Campbell:
The representation of knowledge in knowledge based systems for chemical and process plant selection. Newcastle University, Newcastle upon Tyne, UK, 1990
Coauthor Index
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