Leif E. Peterson

Orcid: 0000-0002-1187-0883

According to our database1, Leif E. Peterson authored at least 23 papers between 2002 and 2014.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2014
Evolutionary algorithms applied to likelihood function maximization during poisson, logistic, and Cox proportional hazards regression analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Superresolution MUSIC Based on Marčenko-Pastur Limit Distribution Reduces Uncertainty and Improves DNA Gene Expression-Based Microarray Classification.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2013

2012
Random Matrix Theory and Covariance Matrix Filtering for Cancer Gene Expression.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2012

2011
Covariance matrix self-adaptation evolution strategies and other metaheuristic techniques for neural adaptive learning.
Soft Comput., 2011

2010
Genome-wide germline single nucleotide polymorphisms for cancer classification in the Framingham Heart Study.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
K-nearest neighbor.
Scholarpedia, 2009

Image classification of artificial fingerprints using Gabor wavelet filters, self-organising maps and Hermite/Laguerre neural networks.
Int. J. Knowl. Eng. Soft Data Paradigms, 2009

Editorial.
Int. J. Knowl. Eng. Soft Data Paradigms, 2009

Logistic ensembles of Random Spherical Linear Oracles for microarray classification.
Int. J. Data Min. Bioinform., 2009

Editorial.
Int. J. Data Min. Bioinform., 2009

Improved propensity matching for heart failure using neural gas and self-organizing maps.
Proceedings of the International Joint Conference on Neural Networks, 2009

Unsupervised cluster analysis and mortality risk in the Digitalis Investigation Group (DIG) trial of heart failure.
Proceedings of the International Joint Conference on Neural Networks, 2009

Maximum Likelihood Logistic Regression Using Metaheuristics.
Proceedings of the International Conference on Machine Learning and Applications, 2009

2008
Machine learning-based receiver operating characteristic (ROC) curves for crisp and fuzzy classification of DNA microarrays in cancer research.
Int. J. Approx. Reason., 2008

Text-mining protein-protein interaction corpus using concept clustering to identify intermittency.
Proceedings of the International Joint Conference on Neural Networks, 2008

Hermite/Laguerre Neural Networks for Classification of Artificial Fingerprints from Optical Coherence Tomography.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007
Logistic Ensembles for Random Spherical Linear Oracles.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

2006
Welcome to <i>Source Code for Biology and Medicine</i>.
Source Code Biol. Medicine, 2006

Classification Analysis of Surface-enhanced Laser Desorption/Ionization Mass Spectral Serum Profiles for Prostate Cancer.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Comparison of Gene Identification Based on Artificial Neural Network Pre-processing with k-Means Cluster and Principal Component Analysis.
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005

Artificial Neural Network Analysis of DNA Microarray-based Prostate Cancer Recurrence.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

2003
Partitioning large-sample microarray-based gene expression profiles using principal components analysis.
Comput. Methods Programs Biomed., 2003

2002
Factor analysis of cluster-specific gene expression levels from cDNA microarrays.
Comput. Methods Programs Biomed., 2002


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