Breast cancer screening using evolved neural networks. - Walker H. Land Jr.; Lawrence E. Albertelli (SMC, 1998)

An oracle based on the general regression neural network. - Timothy Masters; Walker H. Land Jr.; Suchindram Maniccam (SMC, 1998)

New results using multi array sensors and support vector machines for the detection and classification of organophosphate nerve agents. - Walker H. Land Jr.; Dale Leibensperger; Lut Wong; Omowunmi Sadik; A. Wanekeyab; Michiko Uematsu; Mark J. Embrechts (SMC, 2003)

Breast cancer computer aided diagnosis (CAD) using a recently developed SVM/GRNN Oracle hybrid. - Walker H. Land Jr.; Lut Wong; Daniel W. McKee; Timothy Masters; Frances R. Anderson (SMC, 2003)

Applying Support Vector Machines to Breast Cancer Diagnosis using Screen Film Mammogram Data. - Walker H. Land Jr.; Lut Wong; Daniel W. McKee; Mark J. Embrechts; Rizly Salih; Frances R. Anderson (CBMS, 2004)

Detection and Classification of Organophosphate Nerve Agent Simulants Using Support Vector Machines with Multiarray Sensors. - Omowunmi Sadik; Walker H. Land Jr.; Adam K. Wanekaya; Michiko Uematsu; Mark J. Embrechts; Lut Wong; Dale Leibensperger; Alex Volykin (J. Chem. Inf. Model., 2004)

Integrating knowledge representation/engineering, the multivariant PNN, and machine learning to improve breast cancer diagnosis. - Walker H. Land Jr.; Mark J. Embrechts; Frances R. Anderson; Tom Smith; Lut Wong; Stephen Fahlbusch; Robert Choma (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2005)

Advancements in Automated Diagnostic Mammography. - Walker H. Land Jr.; Alda Mizaku; Thomas Raway; John J. Heine; Claudia Berman; Nataliya Kovalchuk (BIBE, 2007)

An End-to-End Process for Cancer Identification from Images of Lung Tissue. - Walker H. Land Jr.; Daniel W. McKee; Tatyana Zhukov; Dansheng Song; Wei Qian (BIBE, 2007)

New statistical learning theory paradigms adapted to breast cancer diagnosis/classification using image and non-image clinical data. - Walker H. Land Jr.; John J. Heine; Thomas Raway; Alda Mizaku; Nataliya Kovalchuk; Jack Y. Yang; Mary Qu Yang (Int. J. Funct. Informatics Pers. Medicine, 2008)

A kernelised fuzzy-Support Vector Machine CAD system for the diagnosis of lung cancer from tissue images. - Walker H. Land Jr.; Daniel W. McKee; Tatyana Zhukov; Dansheng Song; Wei Qian (Int. J. Funct. Informatics Pers. Medicine, 2008)

Multiclass primal Support Vector Machines for breast density classification. - Walker H. Land Jr.; Elizabeth A. Verheggen (Int. J. Comput. Biol. Drug Des., 2009)

Novel approaches for the microcalcification problem of non-palpable lesions. - Walker H. Land Jr.; Elizabeth A. Verheggen (Int. J. Funct. Informatics Pers. Medicine, 2009)

Improving CT prediction of treatment response in patients with metastatic colorectal carcinoma using statistical learning. - Walker H. Land Jr.; Dan Margolis; Ronald Gottlieb; Jack Y. Yang; Elizabeth A. Krupinski (Int. J. Comput. Biol. Drug Des., 2010)

A kernel approach for ensemble decision combinations with two-view mammography applications. - Walker H. Land Jr.; Dan Margolis; Maria Kallergi; John J. Heine (Int. J. Funct. Informatics Pers. Medicine, 2010)

Statistical learning techniques applied to epidemiology: a simulated case-control comparison study with logistic regression. - John J. Heine; Walker H. Land Jr.; Kathleen M. Egan (BMC Bioinform., 2011)

Kernelized partial least squares for feature reduction and classification of gene microarray data. - Walker H. Land Jr.; Xingye Qiao; Daniel Margolis; William S. Ford; Christopher T. Paquette; Joseph F. Perez-Rogers; Jeffrey A. Borgia; Jack Y. Yang; Youping Deng (BMC Syst. Biol., 2011)

Perturbation and candidate analysis to combat overfitting of gene expression microarray data. - Ravi Mathur; J. David Schaffer; Walker H. Land Jr.; John J. Heine; Jonathan M. Hernandez; Timothy Yeatman (Int. J. Comput. Biol. Drug Des., 2011)

Evolving spiking neural networks for robot control. - R. Batllori; Craig B. Laramee; Walker H. Land Jr.; J. David Schaffer (Complex Adaptive Systems, 2011)

Partial Least Squares (PLS) Applied to Medical Bioinformatics. - Walker H. Land Jr.; William S. Ford; Jin-Woo Park; Ravi Mathur; Nathan Hotchkiss; John J. Heine; Steven Eschrich; Xingye Qiao; Timothy Yeatman (Complex Adaptive Systems, 2011)

A new tool for survival analysis: evolutionary programming/evolutionary strategies (EP/ES) support vector regression hybrid using both censored / non-censored (event) data. - Walker H. Land Jr.; Xingye Qiao; Dan Margolis; Ronald Gottlieb (Complex Adaptive Systems, 2011)

A complex adaptive system using statistical learning theory as an inline preprocess for clinical survival analysis. - Dan Margolis; Walker H. Land Jr.; Ronald Gottlieb; Xingye Qiao (Complex Adaptive Systems, 2011)

Evolutionary computation with noise perturbation and cluster analysis to discover biomarker sets. - Ravi Mathur; J. David Schaffer; Walker H. Land Jr.; John J. Heine; Steven Eschrich; Timothy Yeatman (Complex Adaptive Systems, 2011)

Classifying Lung Cancer Recurrence Time Using Novel Ensemble Method with Gene Network based Input Models. - William S. Ford; Jin-Woo Park; Aaron S. Campbell; Youping Deng; Yan Li; Walker H. Land Jr. (Complex Adaptive Systems, 2012)

Preface to Part VI Biologically Inspired Paradigms. - Walker H. Land Jr. (Complex Adaptive Systems, 2012)

PNN/GRNN Ensemble Processor Design for Early Screening of Breast Cancer. - Walker H. Land Jr.; Xinpei Ma; Erin Barnes; Xingye Qiao; John J. Heine; Timothy Masters; Jin-Woo Park (Complex Adaptive Systems, 2012)

GRNN Ensemble Classifier for Lung Cancer Prognosis Using Only Demographic and TNM features. - J. David Schaffer; Jin-Woo Park; Erin Barnes; Qiyi Lu; Xingye Qiao; Youping Deng; Yan Li; Walker H. Land Jr. (Complex Adaptive Systems, 2012)

Clinical Decision Support System (CDSS) for the Classification of Atypical Cells in Pleural Effusions. - David Bassen; Saurabh Nayak; Xia Chong Li; Mitchell Sam; Jagmohan Sidhu; Martha F. Nelson; Walker H. Land Jr. (Complex Adaptive Systems, 2013)

Investigating the GRNN Oracle as a Method for Combining Multiple Predictive Models of Colon Cancer Recurrence from Gene Microarrays. - Aaron S. Campbell; Walker H. Land Jr.; Dan Margolis; Ravi Mathur; J. David Schaffer (Complex Adaptive Systems, 2013)

A Multi-class Probabilistic Neural Network for Pathogen Classification. - William S. Ford; Kun Xiang; Walker H. Land Jr.; Robert Congdon; Yinglei Li; Omowunmi Sadik (Complex Adaptive Systems, 2013)

Part III: Healthcare Systems. - Walker H. Land Jr. (Complex Adaptive Systems, 2013)

Development of a Complex Adaptive PNN System for the Rapid Detection of E.coli. - Yinglei Li; William S. Ford; Kun Xiang; Walker H. Land Jr.; Robert Congdon; Omowunmi Sadik (Complex Adaptive Systems, 2013)

A Novel Application for Combining CASs and Datasets to Produce Increased Accuracy in Modeling and Predicting Cancer Recurrence. - John Norris; Erin Barnes; Olivia Schultz; Timothy Masters; Walker H. Land Jr. (Complex Adaptive Systems, 2013)

A Latent Space Support Vector Machine (LSSVM) Model for Cancer Prognosis. - William S. Ford; Walker H. Land Jr. (Complex Adaptive Systems, 2014)

Predicting with Confidence: Extensions to the GRNN Oracle Enabling Quantification of Confidence in Predictions. - Walker H. Land Jr.; J. David Schaffer (Complex Adaptive Systems, 2015)