David R. Hardoon

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 2

Top Venues

Manuf. Serv. Oper. Manag.

ISNN (1)

IEEE Trans. Knowl. Data Eng.

University of Southampton, UK (PHD)

Education History

University of Southampton, UK

PHD

Publications

Stephanie Kelley, Anton Ovchinnikov, David R. Hardoon, Adrienne Heinrich
Antidiscrimination Laws, Artificial Intelligence, and Gender Bias: A Case Study in Nonmortgage Fintech Lending. Manuf. Serv. Oper. Manag. 24 (6) (2022)
Chanawee Chavaltada, Kitsuchart Pasupa, David R. Hardoon
A Comparative Study of Machine Learning Techniques for Automatic Product Categorisation. ISNN (1) (2017)
Kelvin Sim, Ghim-Eng Yap, David R. Hardoon, Vivekanand Gopalkrishnan, Gao Cong, Suryani Lukman
Centroid-Based Actionable 3D Subspace Clustering. IEEE Trans. Knowl. Data Eng. 25 (6) (2013)
Mengling Feng, Zhuo Zhang, Cuntai Guan, David R. Hardoon, Nicolas Kon Kam King, Boon Chuan Pang, Beng Ti Ang
Utilization of temporal information for intracranial pressure development trend forecasting in traumatic brain injury. EMBC (2012)
Zakria Hussain, John Shawe-Taylor, David R. Hardoon, Charanpal Dhanjal
Design and Generalization Analysis of Orthogonal Matching Pursuit Algorithms. IEEE Trans. Inf. Theory 57 (8) (2011)
David R. Hardoon, John Shawe-Taylor
Sparse canonical correlation analysis. Mach. Learn. 83 (3) (2011)
Janaina Mourão Miranda, David R. Hardoon, Tim Hahn, Andre F. Marquand, Steven C. R. Williams, John Shawe-Taylor, Michael J. Brammer
Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine. NeuroImage 58 (3) (2011)
Omer Boehm, David R. Hardoon, Larry M. Manevitz
Classifying cognitive states of brain activity via one-class neural networks with feature selection by genetic algorithms. Int. J. Mach. Learn. Cybern. 2 (3) (2011)
Tom Diethe, David R. Hardoon, John Shawe-Taylor
Constructing Nonlinear Discriminants from Multiple Data Views. ECML/PKDD (1) (2010)
Nicolò Cesa-Bianchi, David R. Hardoon, Gayle Leen
Guest Editorial: Learning from multiple sources. Mach. Learn. 79 (1-2) (2010)
David R. Hardoon, John Shawe-Taylor
Decomposing the tensor kernel support vector machine for neuroscience data with structured labels. Mach. Learn. 79 (1-2) (2010)
Shiliang Sun, David R. Hardoon
Active learning with extremely sparse labeled examples. Neurocomputing 73 (16-18) (2010)
David R. Hardoon, Kitsuchart Pasupa
Image ranking with implicit feedback from eye movements. ETRA (2010)
Omer Boehm, David R. Hardoon, Larry M. Manevitz
Towards One-Class Pattern Recognition in Brain Activity via Neural Networks. MICAI (2) (2010)
Chih-Chun Chen, David R. Hardoon
Learning from multi-level behaviours in agent-based simulations: a Systems Biology application. J. Simulation 4 (3) (2010)
Zakria Hussain, Alex Po Leung, Kitsuchart Pasupa, David R. Hardoon, Peter Auer, John Shawe-Taylor
Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval. ECML/PKDD (1) (2010)
Antti Ajanki, David R. Hardoon, Samuel Kaski, Kai Puolamäki, John Shawe-Taylor
Can eyes reveal interest? Implicit queries from gaze patterns. User Model. User Adapt. Interact. 19 (4) (2009)
Gayle Leen, David R. Hardoon, Samuel Kaski
Automatic Choice of Control Measurements. ACML (2009)
Simon Durrant, David R. Hardoon, André Brechmann, John Shawe-Taylor, Eduardo R. Miranda, Henning Scheich
GLM and SVM analyses of neural response to tonal and atonal stimuli: new techniques and a comparison. Connect. Sci. 21 (2&3) (2009)
John Shawe-Taylor, David R. Hardoon
PAC-Bayes Analysis Of Maximum Entropy Classification. AISTATS (2009)
Tom Diethe, Zakria Hussain, David R. Hardoon, John Shawe-Taylor
Matching Pursuit Kernel Fisher Discriminant Analysis. AISTATS (2009)
David R. Hardoon, John Shawe-Taylor
Convergence analysis of kernel Canonical Correlation Analysis: theory and practice. Mach. Learn. 74 (1) (2009)
Hendrik Purwins, David R. Hardoon
Trends and perspectives in music cognition research and technology. Connect. Sci. 21 (2&3) (2009)
Simon Durrant, David R. Hardoon, André Brechmann, John Shawe-Taylor, Eduardo R. Miranda, Henning Scheich
GLM and SVM analyses of neural response to tonal and atonal stimuli: new techniques and a comparison. Connect. Sci. 21 (4) (2009)
Craig Saunders, David R. Hardoon, John Shawe-Taylor, Gerhard Widmer
Using string kernels to identify famous performers from their playing style. Intell. Data Anal. 12 (4) (2008)
David R. Hardoon, John Shawe-Taylor, Antti Ajanki, Kai Puolamäki, Samuel Kaski
Information Retrieval by Inferring Implicit Queries from Eye Movements. AISTATS (2007)
David R. Hardoon, Janaina Mourão Miranda, Michael J. Brammer, John Shawe-Taylor
Using Image Stimuli to Drive fMRI Analysis. ICONIP (1) (2007)
Sándor Szedmák, Tijl De Bie, David R. Hardoon
A metamorphosis of Canonical Correlation Analysis into multivariate maximum margin learning. ESANN (2007)
David R. Hardoon, Janaina Mourão Miranda, Michael J. Brammer, John Shawe-Taylor
Unsupervised analysis of fMRI data using kernel canonical correlation. NeuroImage 37 (4) (2007)
David R. Hardoon, Craig Saunders, Sándor Szedmák, John Shawe-Taylor
A Correlation Approach for Automatic Image Annotation. ADMA (2006)
David R. Hardoon, Larry M. Manevitz
fMRI Analysis via One-class Machine Learning Techniques. IJCAI (2005)
Jason D. R. Farquhar, David R. Hardoon, Hongying Meng, John Shawe-Taylor, Sándor Szedmák
Two view learning: SVM-2K, Theory and Practice. NIPS (2005)
Craig Saunders, David R. Hardoon, John Shawe-Taylor, Gerhard Widmer
Using String Kernels to Identify Famous Performers from Their Playing Style. ECML (2004)
David R. Hardoon, Sándor Szedmák, John Shawe-Taylor
Canonical Correlation Analysis: An Overview with Application to Learning Methods. Neural Comput. 16 (12) (2004)

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Publication Activity (10 Years)

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David R. Hardoon