Canonical Correlation Analysis: An Overview with Application to Learning Methods. - David R. Hardoon; Sándor Szedmák; John Shawe-Taylor (Neural Comput., 2004)

fMRI Analysis via One-class Machine Learning Techniques. - David R. Hardoon; Larry M. Manevitz (IJCAI, 2005)

Two view learning: SVM-2K, Theory and Practice. - Jason D. R. Farquhar; David R. Hardoon; Hongying Meng; John Shawe-Taylor; Sándor Szedmák (NIPS, 2005)

A Correlation Approach for Automatic Image Annotation. - David R. Hardoon; Craig Saunders; Sándor Szedmák; John Shawe-Taylor (ADMA, 2006)

Semantic models for machine learning. - David R. Hardoon (2006)

A metamorphosis of Canonical Correlation Analysis into multivariate maximum margin learning. - Sándor Szedmák; Tijl De Bie; David R. Hardoon (ESANN, 2007)

Using Image Stimuli to Drive fMRI Analysis. - David R. Hardoon; Janaina Mourão Miranda; Michael J. Brammer; John Shawe-Taylor (ICONIP (1), 2007)

Information Retrieval by Inferring Implicit Queries from Eye Movements. - David R. Hardoon; John Shawe-Taylor; Antti Ajanki; Kai Puolamäki; Samuel Kaski (AISTATS, 2007)

Unsupervised analysis of fMRI data using kernel canonical correlation. - David R. Hardoon; Janaina Mourão Miranda; Michael J. Brammer; John Shawe-Taylor (NeuroImage, 2007)

Using string kernels to identify famous performers from their playing style. - Craig Saunders; David R. Hardoon; John Shawe-Taylor; Gerhard Widmer (Intell. Data Anal., 2008)

Automatic Choice of Control Measurements. - Gayle Leen; David R. Hardoon; Samuel Kaski (ACML, 2009)

GLM and SVM analyses of neural response to tonal and atonal stimuli: new techniques and a comparison. - Simon Durrant; David R. Hardoon; André Brechmann; John Shawe-Taylor; Eduardo R. Miranda; Henning Scheich (Connect. Sci., 2009)

Trends and perspectives in music cognition research and technology. - Hendrik Purwins; David R. Hardoon (Connect. Sci., 2009)

Matching Pursuit Kernel Fisher Discriminant Analysis. - Tom Diethe; Zakria Hussain; David R. Hardoon; John Shawe-Taylor (AISTATS, 2009)

PAC-Bayes Analysis Of Maximum Entropy Classification. - John Shawe-Taylor; David R. Hardoon (AISTATS, 2009)

Convergence analysis of kernel Canonical Correlation Analysis: theory and practice. - David R. Hardoon; John Shawe-Taylor (Mach. Learn., 2009)

Can eyes reveal interest? Implicit queries from gaze patterns. - Antti Ajanki; David R. Hardoon; Samuel Kaski; Kai Puolamäki; John Shawe-Taylor (User Model. User Adapt. Interact., 2009)

Image ranking with implicit feedback from eye movements. - David R. Hardoon; Kitsuchart Pasupa (ETRA, 2010)

Towards One-Class Pattern Recognition in Brain Activity via Neural Networks. - Omer Boehm; David R. Hardoon; Larry M. Manevitz (MICAI (2), 2010)

Constructing Nonlinear Discriminants from Multiple Data Views. - Tom Diethe; David R. Hardoon; John Shawe-Taylor (ECML/PKDD (1), 2010)

Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval. - Zakria Hussain; Alex Po Leung; Kitsuchart Pasupa; David R. Hardoon; Peter Auer; John Shawe-Taylor (ECML/PKDD (1), 2010)

Active learning with extremely sparse labeled examples. - Shiliang Sun; David R. Hardoon (Neurocomputing, 2010)

Learning from multi-level behaviours in agent-based simulations: a Systems Biology application. - Chih-Chun Chen 001; David R. Hardoon (J. Simulation, 2010)

Guest Editorial: Learning from multiple sources. - Nicolò Cesa-Bianchi; David R. Hardoon; Gayle Leen (Mach. Learn., 2010)

Decomposing the tensor kernel support vector machine for neuroscience data with structured labels. - David R. Hardoon; John Shawe-Taylor (Mach. Learn., 2010)

Sparse canonical correlation analysis. - David R. Hardoon; John Shawe-Taylor (Mach. Learn., 2011)

Classifying cognitive states of brain activity via one-class neural networks with feature selection by genetic algorithms. - Omer Boehm; David R. Hardoon; Larry M. Manevitz (Int. J. Mach. Learn. Cybern., 2011)

Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine. - Janaina Mourão Miranda; David R. Hardoon; Tim Hahn; Andre F. Marquand; Steven C. R. Williams; John Shawe-Taylor; Michael J. Brammer (NeuroImage, 2011)

Design and Generalization Analysis of Orthogonal Matching Pursuit Algorithms. - Zakria Hussain; John Shawe-Taylor; David R. Hardoon; Charanpal Dhanjal (IEEE Trans. Inf. Theory, 2011)

Utilization of temporal information for intracranial pressure development trend forecasting in traumatic brain injury. - Mengling Feng; Zhuo Zhang 001; Cuntai Guan; David R. Hardoon; Nicolas Kon Kam King; Boon Chuan Pang; Beng Ti Ang (EMBC, 2012)

Centroid-Based Actionable 3D Subspace Clustering. - Kelvin Sim; Ghim-Eng Yap; David R. Hardoon; Vivekanand Gopalkrishnan; Gao Cong; Suryani Lukman (IEEE Trans. Knowl. Data Eng., 2013)

A Comparative Study of Machine Learning Techniques for Automatic Product Categorisation. - Chanawee Chavaltada; Kitsuchart Pasupa; David R. Hardoon (ISNN (1), 2017)

Antidiscrimination Laws, Artificial Intelligence, and Gender Bias: A Case Study in Nonmortgage Fintech Lending. - Stephanie Kelley; Anton Ovchinnikov; David R. Hardoon; Adrienne Heinrich (Manuf. Serv. Oper. Manag., 2022)