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David R. Hardoon
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2020 – today
- 2022
- [j18]Stephanie Kelley
, Anton Ovchinnikov
Antidiscrimination Laws, Artificial Intelligence, and Gender Bias: A Case Study in Nonmortgage Fintech Lending. Manuf. Serv. Oper. Manag. 24(6): 3039-3059 (2022)
2010 – 2019
- 2017
- [c16]Chanawee Chavaltada, Kitsuchart Pasupa
A Comparative Study of Machine Learning Techniques for Automatic Product Categorisation. ISNN (1) 2017: 10-17 - 2013
- [j17]Kelvin Sim, Ghim-Eng Yap, David R. Hardoon, Vivekanand Gopalkrishnan, Gao Cong
Centroid-Based Actionable 3D Subspace Clustering. IEEE Trans. Knowl. Data Eng. 25(6): 1213-1226 (2013) - 2012
- [c15]Mengling Feng, Zhuo Zhang, Cuntai Guan
Utilization of temporal information for intracranial pressure development trend forecasting in traumatic brain injury. EMBC 2012: 3930-3934 - 2011
- [j16]David R. Hardoon, John Shawe-Taylor
Sparse canonical correlation analysis. Mach. Learn. 83(3): 331-353 (2011) - [j15]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): 125-134 (2011) - [j14]Janaina Mourão Miranda, David R. Hardoon, Tim Hahn
Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine. NeuroImage 58(3): 793-804 (2011) - [j13]Zakria Hussain, John Shawe-Taylor
Design and Generalization Analysis of Orthogonal Matching Pursuit Algorithms. IEEE Trans. Inf. Theory 57(8): 5326-5341 (2011) - 2010
- [j12]Shiliang Sun, David R. Hardoon:
Active learning with extremely sparse labeled examples. Neurocomputing 73(16-18): 2980-2988 (2010) - [j11]Chih-Chun Chen
Learning from multi-level behaviours in agent-based simulations: a Systems Biology application. J. Simulation 4(3): 196-203 (2010) - [j10]Nicolò Cesa-Bianchi, David R. Hardoon, Gayle Leen:
Guest Editorial: Learning from multiple sources. Mach. Learn. 79(1-2): 1-3 (2010) - [j9]David R. Hardoon, John Shawe-Taylor
Decomposing the tensor kernel support vector machine for neuroscience data with structured labels. Mach. Learn. 79(1-2): 29-46 (2010) - [c14]David R. Hardoon, Kitsuchart Pasupa
Image ranking with implicit feedback from eye movements. ETRA 2010: 291-298 - [c13]Omer Boehm, David R. Hardoon, Larry M. Manevitz:
Towards One-Class Pattern Recognition in Brain Activity via Neural Networks. MICAI (2) 2010: 126-137 - [c12]Tom Diethe
Constructing Nonlinear Discriminants from Multiple Data Views. ECML/PKDD (1) 2010: 328-343 - [c11]Zakria Hussain, Alex Po Leung, Kitsuchart Pasupa
Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval. ECML/PKDD (1) 2010: 554-569
2000 – 2009
- 2009
- [j8]Hendrik Purwins, David R. Hardoon:
Trends and perspectives in music cognition research and technology. Connect. Sci. 21(2&3): 85-88 (2009) - [j7]Simon Durrant
GLM and SVM analyses of neural response to tonal and atonal stimuli: new techniques and a comparison. Connect. Sci. 21(2&3): 161-175 (2009) - [j6]Simon Durrant, David R. Hardoon, André Brechmann, John Shawe-Taylor
GLM and SVM analyses of neural response to tonal and atonal stimuli: new techniques and a comparison. Connect. Sci. 21(4): 383 (2009) - [j5]David R. Hardoon, John Shawe-Taylor
Convergence analysis of kernel Canonical Correlation Analysis: theory and practice. Mach. Learn. 74(1): 23-38 (2009) - [j4]Antti Ajanki, David R. Hardoon, Samuel Kaski, Kai Puolamäki
Can eyes reveal interest? Implicit queries from gaze patterns. User Model. User Adapt. Interact. 19(4): 307-339 (2009) - [c10]Gayle Leen, David R. Hardoon, Samuel Kaski:
Automatic Choice of Control Measurements. ACML 2009: 206-219 - [c9]Tom Diethe, Zakria Hussain, David R. Hardoon, John Shawe-Taylor:
Matching Pursuit Kernel Fisher Discriminant Analysis. AISTATS 2009: 121-128 - [c8]John Shawe-Taylor, David R. Hardoon:
PAC-Bayes Analysis Of Maximum Entropy Classification. AISTATS 2009: 480-487 - 2008
- [j3]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): 425-440 (2008) - 2007
- [j2]David R. Hardoon, Janaina Mourão Miranda, Michael J. Brammer, John Shawe-Taylor
Unsupervised analysis of fMRI data using kernel canonical correlation. NeuroImage 37(4): 1250-1259 (2007) - [c7]Sándor Szedmák, Tijl De Bie, David R. Hardoon:
A metamorphosis of Canonical Correlation Analysis into multivariate maximum margin learning. ESANN 2007: 211-216 - [c6]David R. Hardoon, Janaina Mourão Miranda, Michael J. Brammer, John Shawe-Taylor
Using Image Stimuli to Drive fMRI Analysis. ICONIP (1) 2007: 477-486 - [c5]David R. Hardoon, John Shawe-Taylor, Antti Ajanki, Kai Puolamäki, Samuel Kaski:
Information Retrieval by Inferring Implicit Queries from Eye Movements. AISTATS 2007: 179-186 - 2006
- [b1]David R. Hardoon:
Semantic models for machine learning. University of Southampton, UK, 2006 - [c4]David R. Hardoon, Craig Saunders, Sándor Szedmák, John Shawe-Taylor
A Correlation Approach for Automatic Image Annotation. ADMA 2006: 681-692 - 2005
- [c3]David R. Hardoon, Larry M. Manevitz:
fMRI Analysis via One-class Machine Learning Techniques. IJCAI 2005: 1604-1605 - [c2]Jason D. R. Farquhar, David R. Hardoon, Hongying Meng, John Shawe-Taylor, Sándor Szedmák:
Two view learning: SVM-2K, Theory and Practice. NIPS 2005: 355-362 - 2004
- [j1]David R. Hardoon, Sándor Szedmák, John Shawe-Taylor
Canonical Correlation Analysis: An Overview with Application to Learning Methods. Neural Comput. 16(12): 2639-2664 (2004) - [c1]Craig Saunders, David R. Hardoon, John Shawe-Taylor
Using String Kernels to Identify Famous Performers from Their Playing Style. ECML 2004: 384-395
Coauthor Index
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