Walker H. Land Jr.

Publication Activity (10 Years)

Years Active: 1998-2015
Publications (10 Years): 1

Top Topics

Probabilistic Neural Network

Confidence Values

Top Venues

Complex Adaptive Systems

Publications

Walker H. Land Jr., J. David Schaffer
Predicting with Confidence: Extensions to the GRNN Oracle Enabling Quantification of Confidence in Predictions. Complex Adaptive Systems (2015)
William S. Ford, Walker H. Land Jr.
A Latent Space Support Vector Machine (LSSVM) Model for Cancer Prognosis. Complex Adaptive Systems (2014)
Aaron S. Campbell, Walker H. Land Jr., Dan Margolis, Ravi Mathur, J. David Schaffer
Investigating the GRNN Oracle as a Method for Combining Multiple Predictive Models of Colon Cancer Recurrence from Gene Microarrays. Complex Adaptive Systems (2013)
David Bassen, Saurabh Nayak, Xia Chong Li, Mitchell Sam, Jagmohan Sidhu, Martha F. Nelson, Walker H. Land Jr.
Clinical Decision Support System (CDSS) for the Classification of Atypical Cells in Pleural Effusions. Complex Adaptive Systems (2013)
Yinglei Li, William S. Ford, Kun Xiang, Walker H. Land Jr., Robert Congdon, Omowunmi Sadik
Development of a Complex Adaptive PNN System for the Rapid Detection of E.coli. Complex Adaptive Systems (2013)
John Norris, Erin Barnes, Olivia Schultz, Timothy Masters, Walker H. Land Jr.
A Novel Application for Combining CASs and Datasets to Produce Increased Accuracy in Modeling and Predicting Cancer Recurrence. Complex Adaptive Systems (2013)
Walker H. Land Jr.
Part III: Healthcare Systems. Complex Adaptive Systems (2013)
William S. Ford, Kun Xiang, Walker H. Land Jr., Robert Congdon, Yinglei Li, Omowunmi Sadik
A Multi-class Probabilistic Neural Network for Pathogen Classification. Complex Adaptive Systems (2013)
J. David Schaffer, Jin-Woo Park, Erin Barnes, Qiyi Lu, Xingye Qiao, Youping Deng, Yan Li, Walker H. Land Jr.
GRNN Ensemble Classifier for Lung Cancer Prognosis Using Only Demographic and TNM features. Complex Adaptive Systems (2012)
Walker H. Land Jr.
Preface to Part VI Biologically Inspired Paradigms. Complex Adaptive Systems (2012)
Walker H. Land Jr., Xinpei Ma, Erin Barnes, Xingye Qiao, John J. Heine, Timothy Masters, Jin-Woo Park
PNN/GRNN Ensemble Processor Design for Early Screening of Breast Cancer. Complex Adaptive Systems (2012)
William S. Ford, Jin-Woo Park, Aaron S. Campbell, Youping Deng, Yan Li, Walker H. Land Jr.
Classifying Lung Cancer Recurrence Time Using Novel Ensemble Method with Gene Network based Input Models. Complex Adaptive Systems (2012)
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
Kernelized partial least squares for feature reduction and classification of gene microarray data. BMC Syst. Biol. 5 (S-3) (2011)
John J. Heine, Walker H. Land Jr., Kathleen M. Egan
Statistical learning techniques applied to epidemiology: a simulated case-control comparison study with logistic regression. BMC Bioinform. 12 (2011)
Walker H. Land Jr., William S. Ford, Jin-Woo Park, Ravi Mathur, Nathan Hotchkiss, John J. Heine, Steven Eschrich, Xingye Qiao, Timothy Yeatman
Partial Least Squares (PLS) Applied to Medical Bioinformatics. Complex Adaptive Systems (2011)
Dan Margolis, Walker H. Land Jr., Ronald Gottlieb, Xingye Qiao
A complex adaptive system using statistical learning theory as an inline preprocess for clinical survival analysis. Complex Adaptive Systems (2011)
Ravi Mathur, J. David Schaffer, Walker H. Land Jr., John J. Heine, Steven Eschrich, Timothy Yeatman
Evolutionary computation with noise perturbation and cluster analysis to discover biomarker sets. Complex Adaptive Systems (2011)
Ravi Mathur, J. David Schaffer, Walker H. Land Jr., John J. Heine, Jonathan M. Hernandez, Timothy Yeatman
Perturbation and candidate analysis to combat overfitting of gene expression microarray data. Int. J. Comput. Biol. Drug Des. 4 (4) (2011)
R. Batllori, Craig B. Laramee, Walker H. Land Jr., J. David Schaffer
Evolving spiking neural networks for robot control. Complex Adaptive Systems (2011)
Walker H. Land Jr., Xingye Qiao, Dan Margolis, Ronald Gottlieb
A new tool for survival analysis: evolutionary programming/evolutionary strategies (EP/ES) support vector regression hybrid using both censored / non-censored (event) data. Complex Adaptive Systems (2011)
Walker H. Land Jr., Dan Margolis, Maria Kallergi, John J. Heine
A kernel approach for ensemble decision combinations with two-view mammography applications. Int. J. Funct. Informatics Pers. Medicine 3 (2) (2010)
Walker H. Land Jr., Dan Margolis, Ronald Gottlieb, Jack Y. Yang, Elizabeth A. Krupinski
Improving CT prediction of treatment response in patients with metastatic colorectal carcinoma using statistical learning. Int. J. Comput. Biol. Drug Des. 3 (1) (2010)
Walker H. Land Jr., Elizabeth A. Verheggen
Novel approaches for the microcalcification problem of non-palpable lesions. Int. J. Funct. Informatics Pers. Medicine 2 (1) (2009)
Walker H. Land Jr., Elizabeth A. Verheggen
Multiclass primal Support Vector Machines for breast density classification. Int. J. Comput. Biol. Drug Des. 2 (1) (2009)
Walker H. Land Jr., John J. Heine, Thomas Raway, Alda Mizaku, Nataliya Kovalchuk, Jack Y. Yang, Mary Qu Yang
New statistical learning theory paradigms adapted to breast cancer diagnosis/classification using image and non-image clinical data. Int. J. Funct. Informatics Pers. Medicine 1 (2) (2008)
Walker H. Land Jr., Daniel W. McKee, Tatyana Zhukov, Dansheng Song, Wei Qian
A kernelised fuzzy-Support Vector Machine CAD system for the diagnosis of lung cancer from tissue images. Int. J. Funct. Informatics Pers. Medicine 1 (1) (2008)
Walker H. Land Jr., Daniel W. McKee, Tatyana Zhukov, Dansheng Song, Wei Qian
An End-to-End Process for Cancer Identification from Images of Lung Tissue. BIBE (2007)
Walker H. Land Jr., Alda Mizaku, Thomas Raway, John J. Heine, Claudia Berman, Nataliya Kovalchuk
Advancements in Automated Diagnostic Mammography. BIBE (2007)
Walker H. Land Jr., Mark J. Embrechts, Frances R. Anderson, Tom Smith, Lut Wong, Stephen Fahlbusch, Robert Choma
Integrating knowledge representation/engineering, the multivariant PNN, and machine learning to improve breast cancer diagnosis. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security (2005)
Walker H. Land Jr., Lut Wong, Daniel W. McKee, Mark J. Embrechts, Rizly Salih, Frances R. Anderson
Applying Support Vector Machines to Breast Cancer Diagnosis using Screen Film Mammogram Data. CBMS (2004)
Omowunmi Sadik, Walker H. Land Jr., Adam K. Wanekaya, Michiko Uematsu, Mark J. Embrechts, Lut Wong, Dale Leibensperger, Alex Volykin
Detection and Classification of Organophosphate Nerve Agent Simulants Using Support Vector Machines with Multiarray Sensors. J. Chem. Inf. Model. 44 (2) (2004)
Walker H. Land Jr., Dale Leibensperger, Lut Wong, Omowunmi Sadik, A. Wanekeyab, Michiko Uematsu, Mark J. Embrechts
New results using multi array sensors and support vector machines for the detection and classification of organophosphate nerve agents. SMC (2003)
Walker H. Land Jr., Lut Wong, Daniel W. McKee, Timothy Masters, Frances R. Anderson
Breast cancer computer aided diagnosis (CAD) using a recently developed SVM/GRNN Oracle hybrid. SMC (2003)
Timothy Masters, Walker H. Land Jr., Suchindram Maniccam
An oracle based on the general regression neural network. SMC (1998)
Walker H. Land Jr., Lawrence E. Albertelli
Breast cancer screening using evolved neural networks. SMC (1998)