David R. Hardoon

According to our database1, David R. Hardoon authored at least 34 papers between 2004 and 2017.

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Bibliography

2017
A Comparative Study of Machine Learning Techniques for Automatic Product Categorisation.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

2013
Centroid-Based Actionable 3D Subspace Clustering.
IEEE Trans. Knowl. Data Eng., 2013

2012
Utilization of temporal information for intracranial pressure development trend forecasting in traumatic brain injury.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Design and Generalization Analysis of Orthogonal Matching Pursuit Algorithms.
IEEE Trans. Information Theory, 2011

Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine.
NeuroImage, 2011

Classifying cognitive states of brain activity via one-class neural networks with feature selection by genetic algorithms.
Int. J. Machine Learning & Cybernetics, 2011

Sparse canonical correlation analysis.
Machine Learning, 2011

2010
Decomposing the tensor kernel support vector machine for neuroscience data with structured labels.
Machine Learning, 2010

Guest Editorial: Learning from multiple sources.
Machine Learning, 2010

Learning from multi-level behaviours in agent-based simulations: a Systems Biology application.
J. Simulation, 2010

Active learning with extremely sparse labeled examples.
Neurocomputing, 2010

Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Constructing Nonlinear Discriminants from Multiple Data Views.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Towards One-Class Pattern Recognition in Brain Activity via Neural Networks.
Proceedings of the Advances in Soft Computing, 2010

Image ranking with implicit feedback from eye movements.
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications, 2010

2009
Can eyes reveal interest? Implicit queries from gaze patterns.
User Model. User-Adapt. Interact., 2009

Convergence analysis of kernel Canonical Correlation Analysis: theory and practice.
Machine Learning, 2009

PAC-Bayes Analysis Of Maximum Entropy Classification.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Matching Pursuit Kernel Fisher Discriminant Analysis.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Trends and perspectives in music cognition research and technology.
Connect. Sci., 2009

GLM and SVM analyses of neural response to tonal and atonal stimuli: new techniques and a comparison.
Connect. Sci., 2009

GLM and SVM analyses of neural response to tonal and atonal stimuli: new techniques and a comparison.
Connect. Sci., 2009

Automatic Choice of Control Measurements.
Proceedings of the Advances in Machine Learning, 2009

2008
Using string kernels to identify famous performers from their playing style.
Intell. Data Anal., 2008

2007
Unsupervised analysis of fMRI data using kernel canonical correlation.
NeuroImage, 2007

Information Retrieval by Inferring Implicit Queries from Eye Movements.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Using Image Stimuli to Drive fMRI Analysis.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

A metamorphosis of Canonical Correlation Analysis into multivariate maximum margin learning.
Proceedings of the ESANN 2007, 2007

2006
Semantic models for machine learning.
PhD thesis, 2006

A Correlation Approach for Automatic Image Annotation.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005
Two view learning: SVM-2K, Theory and Practice.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

fMRI Analysis via One-class Machine Learning Techniques.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

2004
Canonical Correlation Analysis: An Overview with Application to Learning Methods.
Neural Computation, 2004

Using String Kernels to Identify Famous Performers from Their Playing Style.
Proceedings of the Machine Learning: ECML 2004, 2004


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