2008 |
15 | EE | James Thurmond,
Hyejin Yoon,
Carla Kuiken,
Karina Yusim,
Simon Perkins,
James Theiler,
Tanmoy Bhattacharya,
Bette Korber,
Will Fischer:
Web-based design and evaluation of T-cell vaccine candidates.
Bioinformatics 24(14): 1639-1640 (2008) |
2007 |
14 | EE | D. Michael Cai,
Maya Gokhale,
James Theiler:
Comparison of feature selection and classification algorithms in identifying malicious executables.
Computational Statistics & Data Analysis 51(6): 3156-3172 (2007) |
2005 |
13 | EE | Karen A. Glocer,
Damian Eads,
James Theiler:
Online feature selection for pixel classification.
ICML 2005: 249-256 |
2004 |
12 | EE | James Theiler,
Neal R. Harvey,
Nancy A. David,
John M. Irvine:
Approach to Target Detection based on Relevant Metric for Scoring Performance.
AIPR 2004: 184-189 |
11 | EE | Garrett T. Kenyon,
James Theiler,
John S. George,
Bryan J. Travis,
David W. Marshak:
Correlated Firing Improves Stimulus Discrimination in a Retinal Model.
Neural Computation 16(11): 2261-2291 (2004) |
10 | EE | Garrett T. Kenyon,
Dan Hill,
James Theiler,
John S. George,
David W. Marshak:
A theory of the Benham Top based on center-surround interactions in the parvocellular pathway.
Neural Networks 17(5-6): 773-786 (2004) |
9 | EE | Junshui Ma,
James Theiler,
Simon Perkins:
Two realizations of a general feature extraction framework.
Pattern Recognition 37(5): 875-887 (2004) |
2003 |
8 | | Simon Perkins,
James Theiler:
Online Feature Selection using Grafting.
ICML 2003: 592-599 |
7 | | Reid B. Porter,
Damian Eads,
Don R. Hush,
James Theiler:
Weighted Order Statistic Classifiers with Large Rank-Order Margin.
ICML 2003: 600-607 |
6 | EE | Simon Perkins,
Kevin Lacker,
James Theiler:
Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space.
Journal of Machine Learning Research 3: 1333-1356 (2003) |
5 | EE | Junshui Ma,
James Theiler,
Simon Perkins:
Accurate On-line Support Vector Regression.
Neural Computation 15(11): 2683-2703 (2003) |
4 | EE | Maya Gokhale,
Janette Frigo,
Kevin McCabe,
James Theiler,
Christophe Wolinski,
Dominique Lavenier:
Experience with a Hybrid Processor: K-Means Clustering.
The Journal of Supercomputing 26(2): 131-148 (2003) |
2002 |
3 | | Junshui Ma,
Simon Perkins,
James Theiler,
Stanley C. Ahalt:
Modified Kernel-based Nonlinear Feature Extraction.
ICMLA 2002: 127-132 |
2001 |
2 | EE | Mike Estlick,
Miriam Leeser,
James Theiler,
John J. Szymanski:
Algorithmic transformations in the implementation of K- means clustering on reconfigurable hardware.
FPGA 2001: 103-110 |
2000 |
1 | | Neal R. Harvey,
Simon Perkins,
Steven P. Brumby,
James Theiler,
Reid B. Porter,
A. Cody Young,
Anil K. Varghese,
John J. Szymanski,
Jeffrey J. Bloch:
Finding Golf Courses: The Ultra High Tech Approach.
EvoWorkshops 2000: 54-64 |