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ORCIDWalker H. Land Jr.
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2010 – 2019
- 2015
[c25]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: 381-387- 2014
- [c24]William S. Ford, Walker H. Land Jr.:
A Latent Space Support Vector Machine (LSSVM) Model for Cancer Prognosis. Complex Adaptive Systems 2014: 470-475 - 2013
- [c23]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: 342-347 - [c22]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: 348-353 - [c21]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: 354-359 - [c20]Walker H. Land Jr.:
Part III: Healthcare Systems. Complex Adaptive Systems 2013: 360-361 - [c19]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: 374-378 - [c18]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: 379-384 - 2012
- [c17]Walker H. Land Jr.:
Preface to Part VI Biologically Inspired Paradigms. Complex Adaptive Systems 2012: 418-419 - [c16]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: 438-443 - [c15]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: 444-449 - [c14]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: 450-455 - 2011
- [j10]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: 37 (2011) - [j9]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): S13 (2011) - [j8]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): 307-315 (2011) - [c13]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: 153-158 - [c12]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: 267-272 - [c11]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: 273-278 - [c10]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: 279-284 - [c9]R. Batllori, Craig B. Laramee, Walker H. Land Jr., J. David Schaffer:
Evolving spiking neural networks for robot control. Complex Adaptive Systems 2011: 329-334 - 2010
- [j7]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): 15-18 (2010) - [j6]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): 157-182 (2010)
2000 – 2009
- 2009
- [j5]Walker H. Land Jr., Elizabeth A. Verheggen:
Multiclass primal Support Vector Machines for breast density classification. Int. J. Comput. Biol. Drug Des. 2(1): 21-57 (2009) - [j4]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): 1-44 (2009) - 2008
- [j3]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): 26-52 (2008) - [j2]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): 111-139 (2008) - 2007
- [c8]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: 233-239 - [c7]Walker H. Land Jr., Alda Mizaku, Thomas Raway, John J. Heine, Claudia Berman, Nataliya Kovalchuk:
Advancements in Automated Diagnostic Mammography. BIBE 2007: 251-256 - 2005
- [c6]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: 226-231 - 2004
- [j1]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): 499-507 (2004) - [c5]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: 224- - 2003
- [c4]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: 2883-2888 - [c3]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: 4705-4711
1990 – 1999
- 1998
- [c2]Timothy Masters, Walker H. Land Jr., Suchindram Maniccam:
An oracle based on the general regression neural network. SMC 1998: 1615-1618 - [c1]Walker H. Land Jr., Lawrence E. Albertelli:
Breast cancer screening using evolved neural networks. SMC 1998: 1619-1624
Coauthor Index
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