Walker H. Land Jr.

According to our database1, Walker H. Land Jr. authored at least 35 papers between 1998 and 2015.

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

Timeline

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Links

On csauthors.net:

Bibliography

2015
Predicting with Confidence: Extensions to the GRNN Oracle Enabling Quantification of Confidence in Predictions.
Proceedings of the Complex Adaptive Systems 2015 Conference, San Jose, 2015

2014
A Latent Space Support Vector Machine (LSSVM) Model for Cancer Prognosis.
Proceedings of the Complex Adaptive Systems 2014 Conference, 2014

2013
A Novel Application for Combining CASs and Datasets to Produce Increased Accuracy in Modeling and Predicting Cancer Recurrence.
Proceedings of the Complex Adaptive Systems 2013 Conference, 2013

Development of a Complex Adaptive PNN System for the Rapid Detection of E.coli.
Proceedings of the Complex Adaptive Systems 2013 Conference, 2013

Part III: Healthcare Systems.
Proceedings of the Complex Adaptive Systems 2013 Conference, 2013

A Multi-class Probabilistic Neural Network for Pathogen Classification.
Proceedings of the Complex Adaptive Systems 2013 Conference, 2013

Investigating the GRNN Oracle as a Method for Combining Multiple Predictive Models of Colon Cancer Recurrence from Gene Microarrays.
Proceedings of the Complex Adaptive Systems 2013 Conference, 2013

Clinical Decision Support System (CDSS) for the Classification of Atypical Cells in Pleural Effusions.
Proceedings of the Complex Adaptive Systems 2013 Conference, 2013

2012
GRNN Ensemble Classifier for Lung Cancer Prognosis Using Only Demographic and TNM features.
Proceedings of the Complex Adaptive Systems 2012 Conference, 2012

PNN/GRNN Ensemble Processor Design for Early Screening of Breast Cancer.
Proceedings of the Complex Adaptive Systems 2012 Conference, 2012

Preface to Part VI Biologically Inspired Paradigms.
Proceedings of the Complex Adaptive Systems 2012 Conference, 2012

Classifying Lung Cancer Recurrence Time Using Novel Ensemble Method with Gene Network based Input Models.
Proceedings of the Complex Adaptive Systems 2012 Conference, 2012

2011
Evolutionary computation with noise perturbation and cluster analysis to discover biomarker sets.
Proceedings of the Complex Adaptive Systems 2011 Conference, 2011

A complex adaptive system using statistical learning theory as an inline preprocess for clinical survival analysis.
Proceedings of the Complex Adaptive Systems 2011 Conference, 2011

A new tool for survival analysis: evolutionary programming/evolutionary strategies (EP/ES) support vector regression hybrid using both censored / non-censored (event) data.
Proceedings of the Complex Adaptive Systems 2011 Conference, 2011

Partial Least Squares (PLS) Applied to Medical Bioinformatics.
Proceedings of the Complex Adaptive Systems 2011 Conference, 2011

Evolving spiking neural networks for robot control.
Proceedings of the Complex Adaptive Systems 2011 Conference, 2011

Perturbation and candidate analysis to combat overfitting of gene expression microarray data.
Int. J. Comput. Biol. Drug Des., 2011

Kernelized partial least squares for feature reduction and classification of gene microarray data.
BMC Syst. Biol., 2011

Statistical learning techniques applied to epidemiology: a simulated case-control comparison study with logistic regression.
BMC Bioinform., 2011

2010
A kernel approach for ensemble decision combinations with two-view mammography applications.
Int. J. Funct. Informatics Pers. Medicine, 2010

Improving CT prediction of treatment response in patients with metastatic colorectal carcinoma using statistical learning.
Int. J. Comput. Biol. Drug Des., 2010

2009
Novel approaches for the microcalcification problem of non-palpable lesions.
Int. J. Funct. Informatics Pers. Medicine, 2009

Multiclass primal Support Vector Machines for breast density classification.
Int. J. Comput. Biol. Drug Des., 2009

2008
A kernelised fuzzy-Support Vector Machine CAD system for the diagnosis of lung cancer from tissue images.
Int. J. Funct. Informatics Pers. Medicine, 2008

New statistical learning theory paradigms adapted to breast cancer diagnosis/classification using image and non-image clinical data.
Int. J. Funct. Informatics Pers. Medicine, 2008

2007
An End-to-End Process for Cancer Identification from Images of Lung Tissue.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

Advancements in Automated Diagnostic Mammography.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2005
Integrating knowledge representation/engineering, the multivariant PNN, and machine learning to improve breast cancer diagnosis.
Proceedings of the Data Mining, 2005

2004
Detection and Classification of Organophosphate Nerve Agent Simulants Using Support Vector Machines with Multiarray Sensors.
J. Chem. Inf. Model., 2004

Applying Support Vector Machines to Breast Cancer Diagnosis using Screen Film Mammogram Data.
Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems (CBMS 2004), 2004

2003
Breast cancer computer aided diagnosis (CAD) using a recently developed SVM/GRNN Oracle hybrid.
Proceedings of the IEEE International Conference on Systems, 2003

New results using multi array sensors and support vector machines for the detection and classification of organophosphate nerve agents.
Proceedings of the IEEE International Conference on Systems, 2003

1998
An oracle based on the general regression neural network.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Breast cancer screening using evolved neural networks.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998


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