Walker H. Land Jr.

35 papers B 5C 2Journal 10Unranked 18

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