Colin Campbell

78 papers A* 5B 8C 3Misc 4Journal 34Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Universal cycle constructions for k-subsets and k-multisets.
CoRR
Colin Campbell, Luke Janik-Jones, Joe Sawada
2024 Misc conf
Arbitrary State Preparation via Quantum Walks.
QCE
Alvin Gonzales, Rebekah Herrman, Colin Campbell, Igor Gaidai, Ji Liu, Teague Tomesh, Zain H. Saleem
2024 J jnl
DrivR-Base: a feature extraction toolkit for variant effect prediction model construction.
Bioinform.
Amy Francis, Colin Campbell, Tom R. Gaunt
2023 Misc conf
Superstaq: Deep Optimization of Quantum Programs.
QCE
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
2022 — conf
1.4kDots Consumer LiDAR up to 10m Based on Indirect Time-of-Flight Sensor.
IEEE SENSORS
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
2022 J jnl
An IoT Edge Computing Framework Using Cordova Accessor Host.
IEEE Internet Things J.
Anne H. H. Ngu, Jesuloluwa S. Eyitayo, Guowei Yang, Colin Campbell, Quan Z. Sheng, Jianyuan Ni
2022 J jnl
Little rewards, big changes: Using exercise analytics to motivate sustainable changes in physical activity.
Inf. Manag.
Kirk Plangger, Colin Campbell, Karen Robson, Matteo Montecchi
2022 — conf
QAOA of the Highest Order.
ICSA Companion
Colin Campbell, Edward Dahl
2022 J jnl
Whole community invasions and the integration of novel ecosystems.
PLoS Comput. Biol.
Colin Campbell, Laura Russo, Réka Albert, Angus Buckling, Katriona Shea
2021 — conf
An all-in-one 64-zone SPAD-based Direct-Time-of-Flight Ranging Sensor with Embedded Illumination.
IEEE SENSORS
Fabrice Martin, Pascal Mellot, Adam Caley, Bruce Rae, Colin Campbell, Duncan Hall, Sara Pellegrini
2021 J jnl
CScape-somatic: distinguishing driver and passenger point mutations in the cancer genome.
Bioinform.
Mark F. Rogers, Tom R. Gaunt, Colin Campbell
2021 J jnl
Prediction of driver variants in the cancer genome via machine learning methodologies.
Briefings Bioinform.
Mark F. Rogers, Tom R. Gaunt, Colin Campbell
2020 J jnl
CScape-somatic: distinguishing driver and passenger point mutations in the cancer genome.
Bioinform.
Mark F. Rogers, Tom R. Gaunt, Colin Campbell
2018 J jnl
FATHMM-XF: accurate prediction of pathogenic point mutations via extended features.
Bioinform.
Mark F. Rogers, Hashem A. Shihab, Matthew E. Mort, David N. Cooper, Tom R. Gaunt, Colin Campbell
2017 J jnl
An integrative approach to predicting the functional effects of small indels in non-coding regions of the human genome.
BMC Bioinform.
Michael Ferlaino, Mark F. Rogers, Hashem A. Shihab, Matthew E. Mort, David N. Cooper, Tom R. Gaunt, Colin Campbell
2017 J jnl
GTB - an online genome tolerance browser.
BMC Bioinform.
Hashem A. Shihab, Mark F. Rogers, Michael Ferlaino, Colin Campbell, Tom R. Gaunt
2017 J jnl
HIPred: an integrative approach to predicting haploinsufficient genes.
Bioinform.
Hashem A. Shihab, Mark F. Rogers, Colin Campbell, Tom R. Gaunt
2016 J jnl
Motif profile dynamics and transient species in a Boolean model of mutualistic ecological communities.
J. Complex Networks
Colin Campbell, Katriona Shea, Suann Yang, Réka Albert
2016 — ch.
Quantification of Regulation in Networks with Positive and Negative Interaction Weights.
Encyclopedia of Algorithms
Colin Campbell, Réka Albert
2015 J jnl
An integrative approach to predicting the functional effects of non-coding and coding sequence variation.
Bioinform.
Hashem A. Shihab, Mark F. Rogers, Julian Gough, Matthew E. Mort, David N. Cooper, Ian N. M. Day, Tom R. Gaunt, Colin Campbell
2015 — conf
Sequential data selection for predicting the pathogenic effects of sequence variation.
BIBM
Mark F. Rogers, Colin Campbell, Hashem A. Shihab, Tom R. Gaunt, Matthew E. Mort, David N. Cooper
2015 J jnl
Texture classification using feature selection and kernel-based techniques.
Soft Comput.
Carlos Fernandez-Lozano, José Antonio Seoane Fernández, Marcos Gestal, Tom R. Gaunt, Julián Dorado, Colin Campbell
2014 B conf
A Random Forest proximity matrix as a new measure for gene annotation.
ESANN
José A. Seoane, Ian N. M. Day, Juan P. Casas, Colin Campbell, Tom R. Gaunt
2014 J jnl
A pathway-based data integration framework for prediction of disease progression.
Bioinform.
José A. Seoane, Ian N. M. Day, Tom R. Gaunt, Colin Campbell
2014 J jnl
Canonical Correlation Analysis for Gene-Based Pleiotropy Discovery.
PLoS Comput. Biol.
José A. Seoane, Colin Campbell, Ian N. M. Day, Juan P. Casas, Tom R. Gaunt
2014 J jnl
Stabilization of perturbed Boolean network attractors through compensatory interactions.
BMC Syst. Biol.
Colin Campbell, Réka Albert
2014 — conf
Using a Random Forest proximity measure for variable importance stratification in genotypic data.
IWBBIO
José A. Seoane, Ian N. M. Day, Colin Campbell, Juan P. Casas, Tom R. Gaunt
2013 — conf
Texture Classification Using Kernel-Based Techniques.
IWANN (1)
Carlos Fernandez-Lozano, José A. Seoane, Marcos Gestal, Tom R. Gaunt, Colin Campbell
2012 J jnl
Learning the coordinate gradients.
Adv. Comput. Math.
Yiming Ying, Qiang Wu, Colin Campbell
2011 J jnl
Generalized sparse metric learning with relative comparisons.
Knowl. Inf. Syst.
Kaizhu Huang, Yiming Ying, Colin Campbell
2011 — book
Learning with Support Vector Machines
Colin Campbell, Yiming Ying
2010 J jnl
Rademacher Chaos Complexities for Learning the Kernel Problem.
Neural Comput.
Yiming Ying, Colin Campbell
2009 B conf
A Variational Approach to Semi-Supervised Clustering.
ESANN
Peng Li, Yiming Ying, Colin Campbell
2009 — conf
Analysis of SVM with Indefinite Kernels.
NIPS
Yiming Ying, Colin Campbell, Mark A. Girolami
2009 — conf
Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm.
PRIB
Yiming Ying, Colin Campbell, Theodoros Damoulas, Mark A. Girolami
2009 J jnl
Enhanced protein fold recognition through a novel data integration approach.
BMC Bioinform.
Yiming Ying, Kaizhu Huang, Colin Campbell
2009 A* conf
GSML: A Unified Framework for Sparse Metric Learning.
ICDM
Kaizhu Huang, Yiming Ying, Colin Campbell
2009 A* conf
Generalization Bounds for Learning the Kernel Problem.
COLT
Yiming Ying, Colin Campbell
2009 — conf
Sparse Metric Learning via Smooth Optimization.
NIPS
Yiming Ying, Kaizhu Huang, Colin Campbell
2009 B conf
Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data.
IJCNN
Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell
2008 C conf
Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins.
ICMLA
Theodoros Damoulas, Yiming Ying, Mark A. Girolami, Colin Campbell
2008 A* conf
Learning Coordinate Gradients with Multi-Task Kernels.
COLT
Yiming Ying, Colin Campbell
2008 — conf
Model-Based Testing of Object-Oriented Reactive Systems with Spec Explorer.
Formal Methods and Testing
Margus Veanes, Colin Campbell, Wolfgang Grieskamp, Wolfram Schulte, Nikolai Tillmann, Lev Nachmanson
2007 C conf
Composition of Model Programs.
FORTE
Margus Veanes, Colin Campbell, Wolfram Schulte
2007 C conf
State Isomorphism in Model Programs with Abstract Data Structures.
FORTE
Margus Veanes, Juhan P. Ernits, Colin Campbell
2006 — conf
Online Testing with Reinforcement Learning.
FATES/RV
Margus Veanes, Pritam Roy, Colin Campbell
2005 — conf
Action Machines - Towards a Framework for Model Composition, Exploration and Conformance Testing Based on Symbolic Computation.
QSIC
Wolfgang Grieskamp, Nikolai Tillmann, Colin Campbell, Wolfram Schulte, Margus Veanes
2005 — conf
Multiplexing of Partially Ordered Events.
TestCom
Colin Campbell, Margus Veanes, Jiale Huo, Alexandre Petrenko
2005 — conf
Online testing with model programs.
ESEC/SIGSOFT FSE
Margus Veanes, Colin Campbell, Wolfram Schulte, Nikolai Tillmann
2005 J jnl
Search and Collusion in Electronic Markets.
Manag. Sci.
Colin Campbell, Gautam Ray, Waleed A. Muhanna
2005 — conf
State Exploration with Multiple State Groupings.
Abstract State Machines
Colin Campbell, Margus Veanes
2005 B conf
Testing Concurrent Object-Oriented Systems with Spec Explorer.
FM
Colin Campbell, Wolfgang Grieskamp, Lev Nachmanson, Wolfram Schulte, Nikolai Tillmann, Margus Veanes
2005 J jnl
The Latent Process Decomposition of cDNA Microarray Data Sets.
IEEE ACM Trans. Comput. Biol. Bioinform.
Simon Rogers, Mark A. Girolami, Colin Campbell, Rainer Breitling
2003 J jnl
Estimating Dataset Size Requirements for Classifying DNA Microarray Data.
J. Comput. Biol.
Sayan Mukherjee, Pablo Tamayo, Simon Rogers, Ryan M. Rifkin, Anna Engle, Colin Campbell, Todd R. Golub, Jill P. Mesirov
2003 J jnl
New Analytical Techniques for the Interpretation of Microarray Data.
Bioinform.
Colin Campbell
2003 Misc conf
Simulation of Fault-Tolerant Parallel Systems Design Paradigms for Extensible Solutions.
PDPTA
Colin Campbell, Pierre M. Fiorini
2003 J jnl
Special issue on support vector machines.
Neurocomputing
Colin Campbell, Chih-Jen Lin, S. Sathiya Keerthi, V. David Sánchez A.
2002 J jnl
Editorial: Kernel Methods: Current Research and Future Directions.
Mach. Learn.
Nello Cristianini, Colin Campbell, Chris Burges
2002 J jnl
Kernel methods: a survey of current techniques.
Neurocomputing
Colin Campbell
2001 J jnl
Bayes Point Machines.
J. Mach. Learn. Res.
Ralf Herbrich, Thore Graepel, Colin Campbell
2000 — conf
A Linear Programming Approach to Novelty Detection.
NIPS
Colin Campbell, Kristin P. Bennett
2000 B conf
Algorithmic approaches to training Support Vector Machines: a survey.
ESANN
Colin Campbell
2000 A* conf
Query Learning with Large Margin Classifiers.
ICML
Colin Campbell, Nello Cristianini, Alexander J. Smola
2000 B conf
Robust Bayes Point Machines.
ESANN
Ralf Herbrich, Thore Graepel, Colin Campbell
2000 J jnl
Support Vector Machines: Hype or Hallelujah?
SIGKDD Explor.
Kristin P. Bennett, Colin Campbell
1999 B conf
A multiplicative updating algorithm for training support vector machine.
ESANN
Nello Cristianini, Colin Campbell, John Shawe-Taylor
1998 — conf
Dynamically Adapting Kernels in Support Vector Machines.
NIPS
Nello Cristianini, Colin Campbell, John Shawe-Taylor
1998 J jnl
Identification and characterization of the RAD51 gene from the ciliate Tetrahymena thermophila.
Nucleic Acids Res.
Colin Campbell, Daniel P. Romero
1998 — conf
On a new stochastic version of the EM algorithm.
EUSIPCO
Colin Campbell, Simon J. Godsill
1998 A* conf
The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines.
ICML
Thilo-Thomas Frieß, Nello Cristianini, Colin Campbell
1998 — book
The MATLAB 5 handbook.
Darren Redfern, Colin Campbell
1997 — conf
A constructive algorithm for neural networks that generalize.
APL
Alvin J. Surkan, Colin Campbell
1995 — conf
A Constructive Algorithm for Building a Feed-Forward Neural Network.
SNN Symposium on Neural Networks
Colin Campbell, Stephen Coombes, Alvin J. Surkan
1995 B conf
Constructing feed-forward neural networks for binary classification tasks.
ESANN
Colin Campbell, Conrado J. Pérez Vicente
1995 J jnl
The target switch algorithm: a constructive learning procedure for feed-forward neural networks.
Neural Comput.
Colin Campbell, Conrado J. Pérez Vicente
1993 J jnl
Neural Networks with Sign-Constrained Weights.
Neural Comput. Appl.
Colin Campbell
1991 Misc conf
Dynamic Thresholds and Attractor Neural Networks.
IWANN
Colin Campbell
1990 — —
The representation of knowledge in knowledge based systems for chemical and process plant selection.
Colin Campbell