Colin Campbell

According to our database1, Colin Campbell authored at least 64 papers between 1990 and 2018.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 1986, "For cotributions to surface-acoustic-wave devices and electrical engineering education".

Timeline

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
FATHMM-XF: accurate prediction of pathogenic point mutations via extended features.
Bioinformatics, 2018

2017
GTB - an online genome tolerance browser.
BMC Bioinformatics, 2017

An integrative approach to predicting the functional effects of small indels in non-coding regions of the human genome.
BMC Bioinformatics, 2017

HIPred: an integrative approach to predicting haploinsufficient genes.
Bioinformatics, 2017

2016
Quantification of Regulation in Networks with Positive and Negative Interaction Weights.
Encyclopedia of Algorithms, 2016

Motif profile dynamics and transient species in a Boolean model of mutualistic ecological communities.
J. Complex Networks, 2016

2015
Texture classification using feature selection and kernel-based techniques.
Soft Comput., 2015

An integrative approach to predicting the functional effects of non-coding and coding sequence variation.
Bioinformatics, 2015

Sequential data selection for predicting the pathogenic effects of sequence variation.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Canonical Correlation Analysis for Gene-Based Pleiotropy Discovery.
PLoS Computational Biology, 2014

Stabilization of perturbed Boolean network attractors through compensatory interactions.
BMC Systems Biology, 2014

A pathway-based data integration framework for prediction of disease progression.
Bioinformatics, 2014

Using a Random Forest proximity measure for variable importance stratification in genotypic data.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

A Random Forest proximity matrix as a new measure for gene annotation.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013
Texture Classification Using Kernel-Based Techniques.
Proceedings of the Advances in Computational Intelligence, 2013

2012
Learning the coordinate gradients.
Adv. Comput. Math., 2012

2011
Learning with Support Vector Machines
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, 2011

Generalized sparse metric learning with relative comparisons.
Knowl. Inf. Syst., 2011

2010
Rademacher Chaos Complexities for Learning the Kernel Problem.
Neural Computation, 2010

2009
Enhanced protein fold recognition through a novel data integration approach.
BMC Bioinformatics, 2009

Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm.
Proceedings of the Pattern Recognition in Bioinformatics, 2009

Sparse Metric Learning via Smooth Optimization.
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.
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.
Proceedings of the International Joint Conference on Neural Networks, 2009

GSML: A Unified Framework for Sparse Metric Learning.
Proceedings of the ICDM 2009, 2009

A Variational Approach to Semi-Supervised Clustering.
Proceedings of the ESANN 2009, 2009

Generalization Bounds for Learning the Kernel Problem.
Proceedings of the COLT 2009, 2009

2008
Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Model-Based Testing of Object-Oriented Reactive Systems with Spec Explorer.
Proceedings of the Formal Methods and Testing, 2008

Learning Coordinate Gradients with Multi-Task Kernels.
Proceedings of the 21st Annual Conference on Learning Theory, 2008

2007
State Isomorphism in Model Programs with Abstract Data Structures.
Proceedings of the Formal Techniques for Networked and Distributed Systems, 2007

Composition of Model Programs.
Proceedings of the Formal Techniques for Networked and Distributed Systems, 2007

2006
Online Testing with Reinforcement Learning.
Proceedings of the Formal Approaches to Software Testing and Runtime Verification, 2006

2005
The Latent Process Decomposition of cDNA Microarray Data Sets.
IEEE/ACM Trans. Comput. Biology Bioinform., 2005

Search and Collusion in Electronic Markets.
Management Science, 2005

Online testing with model programs.
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.
Proceedings of the Fifth International Conference on Quality Software (QSIC 2005), 2005

Multiplexing of Partially Ordered Events.
Proceedings of the Testing of Communicating Systems, 2005

Testing Concurrent Object-Oriented Systems with Spec Explorer.
Proceedings of the FM 2005: Formal Methods, 2005

State Exploration with Multiple State Groupings.
Proceedings of the 12th International Workshop on Abstract State Machines, 2005

2003
Estimating Dataset Size Requirements for Classifying DNA Microarray Data.
Journal of Computational Biology, 2003

Special issue on support vector machines.
Neurocomputing, 2003

New Analytical Techniques for the Interpretation of Microarray Data.
Bioinformatics, 2003

Simulation of Fault-Tolerant Parallel Systems Design Paradigms for Extensible Solutions.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2003

2002
Editorial: Kernel Methods: Current Research and Future Directions.
Machine Learning, 2002

Kernel methods: a survey of current techniques.
Neurocomputing, 2002

2001
Bayes Point Machines.
J. Mach. Learn. Res., 2001

2000
Support Vector Machines: Hype or Hallelujah?
SIGKDD Explorations, 2000

A Linear Programming Approach to Novelty Detection.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Query Learning with Large Margin Classifiers.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Robust Bayes Point Machines.
Proceedings of the ESANN 2000, 2000

Algorithmic approaches to training Support Vector Machines: a survey.
Proceedings of the ESANN 2000, 2000

1999
A multiplicative updating algorithm for training support vector machine.
Proceedings of the ESANN 1999, 1999

1998
Identification and characterization of the RAD51 gene from the ciliate Tetrahymena thermophila.
Nucleic Acids Research, 1998

Dynamically Adapting Kernels in Support Vector Machines.
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.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

On a new stochastic version of the EM algorithm.
Proceedings of the 9th European Signal Processing Conference, 1998

The MATLAB 5 handbook.
Springer, ISBN: 0387942009, 1998

1997
A constructive algorithm for neural networks that generalize.
Proceedings of the International Conference on APL 1997, 1997

1995
The target switch algorithm: a constructive learning procedure for feed-forward neural networks.
Neural Computation, 1995

Constructing feed-forward neural networks for binary classification tasks.
Proceedings of the ESANN 1995, 1995

1993
Neural Networks with Sign-Constrained Weights.
Neural Computing and Applications, 1993

1991
Dynamic Thresholds and Attractor Neural Networks.
Proceedings of the Artificial Neural Networks, 1991

1990
The representation of knowledge in knowledge based systems for chemical and process plant selection.
PhD thesis, 1990


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