David R. Hardoon

35 papers A* 1A 3B 2C 2Journal 18Unranked 8

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