 | 2011 |
| 22 |  | Leif E. Peterson:
Covariance matrix self-adaptation evolution strategies and other metaheuristic techniques for neural adaptive learning.
Soft Comput. 15(8): 1483-1495 (2011) |
| 2010 |
| 21 |  | Francesco Masulli,
Leif E. Peterson,
Roberto Tagliaferri:
Computational Intelligence Methods for Bioinformatics and Biostatistics, 6th International Meeting, CIBB 2009, Genoa, Italy, October 15-17, 2009, Revised Selected Papers
Springer 2010 |
| 20 |  | Leif E. Peterson,
Jaya Paranilam,
Jiaqiong Xu,
Federico A. Monzon:
Genome-wide germline single nucleotide polymorphisms for cancer classification in the Framingham Heart Study.
IJCNN 2010: 1-7 |
| 2009 |
| 19 |  | Leif E. Peterson:
Maximum Likelihood Logistic Regression Using Metaheuristics.
ICMLA 2009: 509-514 |
| 18 |  | Sameer Ather,
Leif E. Peterson,
Vijay Divakaran,
Anita Deswal,
B. Bozkurt,
Douglas L. Mann:
Unsupervised cluster analysis and mortality risk in the Digitalis Investigation Group (DIG) trial of heart failure.
IJCNN 2009: 207-212 |
| 17 |  | Leif E. Peterson,
Sameer Ather,
Vijay Divakaran,
Anita Deswal,
B. Bozkurt,
Douglas L. Mann:
Improved propensity matching for heart failure using neural gas and self-organizing maps.
IJCNN 2009: 2517-2524 |
| 16 |  | Leif E. Peterson,
Xue-wen Chen:
Editorial.
IJDMB 3(4): 363-364 (2009) |
| 15 |  | Leif E. Peterson,
Matthew A. Coleman:
Logistic ensembles of Random Spherical Linear Oracles for microarray classification.
IJDMB 3(4): 382-397 (2009) |
| 14 |  | Leif E. Peterson,
Paulo J. G. Lisboa:
Editorial.
IJKESDP 1(3): 193-194 (2009) |
| 13 |  | Leif E. Peterson,
Kirill V. Larin:
Image classification of artificial fingerprints using Gabor wavelet filters, self-organising maps and Hermite/Laguerre neural networks.
IJKESDP 1(3): 239-256 (2009) |
| 12 |  | Leif E. Peterson:
K-nearest neighbor.
Scholarpedia 4(2): 1883 (2009) |
| 2008 |
| 11 |  | M. Arif Wani,
Mehmed M. Kantardzic,
Tao Li,
Ying Liu,
Lukasz A. Kurgan,
Jieping Ye,
Mitsunori Ogihara,
Seref Sagiroglu,
Xue-wen Chen,
Leif E. Peterson,
Khalid Hafeez:
The Sixth International Conference on Machine Learning and Applications, ICMLA 2007, Cincinnati, Ohio, USA, 13-15 December 2007
IEEE Computer Society 2008 |
| 10 |  | Leif E. Peterson,
Kirill V. Larin:
Hermite/Laguerre Neural Networks for Classification of Artificial Fingerprints from Optical Coherence Tomography.
ICMLA 2008: 637-643 |
| 9 |  | Leif E. Peterson,
Matthew A. Coleman:
Text-mining protein-protein interaction corpus using concept clustering to identify intermittency.
IJCNN 2008: 3634-3640 |
| 8 |  | Leif E. Peterson,
Matthew A. Coleman:
Machine learning-based receiver operating characteristic (ROC) curves for crisp and fuzzy classification of DNA microarrays in cancer research.
Int. J. Approx. Reasoning 47(1): 17-36 (2008) |
| 2007 |
| 7 |  | Leif E. Peterson,
Matthew A. Coleman:
Logistic Ensembles for Random Spherical Linear Oracles.
ICMLA 2007: 618-623 |
| 2006 |
| 6 |  | Leif E. Peterson,
Ron C. Hoogeveen,
Henry J. Pownall,
Joel D. Morrisett:
Classification Analysis of Surface-enhanced Laser Desorption/Ionization Mass Spectral Serum Profiles for Prostate Cancer.
IJCNN 2006: 3828-3835 |
| 5 |  | Leif E. Peterson,
Emmanuel C. Ifeachor:
Welcome to Source Code for Biology and Medicine.
Source Code for Biology and Medicine 1: (2006) |
| 2005 |
| 4 |  | Leif E. Peterson,
Mustafa Ozen,
Halime Erdem,
Andrew Amini,
Lori Gomez,
Colleen C. Nelson,
Michael Ittmann:
Artificial Neural Network Analysis of DNA Microarray-based Prostate Cancer Recurrence.
CIBCB 2005: 275-282 |
| 3 |  | Leif E. Peterson,
Matthew A. Coleman:
Comparison of Gene Identification Based on Artificial Neural Network Pre-processing with k-Means Cluster and Principal Component Analysis.
WILF 2005: 267-276 |
| 2003 |
| 2 |  | Leif E. Peterson:
Partitioning large-sample microarray-based gene expression profiles using principal components analysis.
Computer Methods and Programs in Biomedicine 70(2): 107-119 (2003) |
| 2002 |
| 1 |  | Leif E. Peterson:
Factor analysis of cluster-specific gene expression levels from cDNA microarrays.
Computer Methods and Programs in Biomedicine 69(3): 179-188 (2002) |