Walker H. Land

发表

An Application of a New Hybrid for Feature Selection Using Colorectal Cancer Microarray Data

Alda Mizaku, John J. Heine, Thomas D. Raway, 2008 .

New results in computer-aided diagnosis (CAD) of breast cancer using a recently developed SVM/GRNN Oracle hybrid

Joseph Y. Lo, Timothy Masters, Walker H. Land, 2004, SPIE Medical Imaging.

Application of a GRNN oracle to the intelligent combination of several breast cancer benign/malignant predictive paradigms

Joseph Y. Lo, Walker H. Land, Timothy D. Masters, 2000, Medical Imaging: Image Processing.

Performance Validation Using Several Statistical Learning Theory Paradigms for Mammogram Screen Film and Clinical Data Features

John J. Heine, Walker H. Land, George Tomko, 2007 .

The Art and Science of Machine Intelligence

J. David Schaffer, Walker H. Land, J. D. Schaffer, 2019 .

Application of evolutionary programming and probabilistic neural networks to breast cancer diagnosis

Clayton T. Morrison, Joseph Y. Lo, Walker H. Land, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Deblurring of tomosynthesis images using 3D anisotropic diffusion filtering

Ravi K. Samala, Walker H. Land, Xuejun Sun, 2007, SPIE Medical Imaging.

Replacing a Mixture of Experts with a New GRNN Oracle as a Solution of the Complex Adaptive System for the Diagnosis of Breast Cancer

Joseph Y. Lo, Timothy Masters, Alda Mizaku, 2008 .

A Complex Adaptive Decision Mechanism (CADM) for Two View Mammography

Dan Margolis, Maria Kallergi, John J. Heine, 2009 .

Using Computational Intelligence for Computer-Aided Diagnosis of Screen-Film Mammograms

Joseph Y. Lo, John J. Heine, Walker H. Land, 2006 .

Integration of multi-array sensors and support vector machines for the detection and classification of organophosphate nerve agents

Walker H. Land, Lut Wong, Mark J. Embrechts, 2003, SPIE Defense + Commercial Sensing.

New approach to breast cancer CAD using partial least squares and kernel-partial least squares

John J. Heine, Walker H. Land, Tom Smith, 2005, SPIE Medical Imaging.

Evaluation of two key machine intelligence technologies

John J. Heine, Walker H. Land, Robert Thomas, 2007, SPIE Defense + Commercial Sensing.

Application of evolutionary computation and neural network hybrids for breast cancer classification using mammogram and history data

Joseph Y. Lo, Walker H. Land, Daniel W. McKee, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

Improving the predictive value of mammography using a specialized evolutionary programming hybrid and fitness functions

Joseph Y. Lo, Walker H. Land, Daniel W. McKee, 2003, SPIE Medical Imaging.

Biomolecular Feature Selection of Colorectal Cancer Microarray Data Using GA-SVM Hybrid

Alda Mizaku, John J. Heine, Walker H. Land, 2009 .

An adaptive image segmentation process for the classification of lung biopsy images

Dansheng Song, Wei Qian, Walker H. Land, 2006, SPIE Medical Imaging.

Experiments using an evolutionary programmed neural network with adaptive boosting for computer aided diagnosis of breast cancer

Walker H. Land, E. A. Verheggen, W. Land, 2003, Proceedings of the 2003 IEEE International Workshop on Soft Computing in Industrial Applications, 2003. SMCia/03..

Application of adaptive boosting to EP-derived multilayer feed-forward neural networks (MLFN) to improve benign/malignant breast cancer classification

Joseph Y. Lo, Walker H. Land, Daniel W. McKee, 2001, SPIE Medical Imaging.

Robust segmentation using kernel and spatial based fuzzy c-means methods on breast x-ray images

Dmitry B. Goldgof, Walker H. Land, Xuejun Sun, 2008, SPIE Medical Imaging.

Data fusion of several support-vector-machine breast-cancer diagnostic paradigms using a GRNN oracle

Timothy Masters, Walker H. Land, Lut Wong, 2004, SPIE Defense + Commercial Sensing.

An Improved Kernel-Based Adaptive Image Segmentation Process for Lung Cancer Detection from Biopsy Images

Dansheng Song, Wei Qian, Walker H. Land, 2006 .

Bayesian Probabilistic Neural Network (BPNN)

J. David Schaffer, Walker H. Land, J. D. Schaffer, 2019, The Art and Science of Machine Intelligence.

Performance evaluation of evolutionary computational and conventionally trained support vector machines

Alda Mizaku, John J. Heine, Walker H. Land, 2007, SPIE Defense + Commercial Sensing.

Application of support vector machines to breast cancer screening using mammogram and history data

Joseph Y. Lo, Walker H. Land, Anab Akanda, 2002, SPIE Medical Imaging.

New results in breast cancer classification obtained from an evolutionary computation/adaptive boosting hybrid using mammogram and history data

Joseph Y. Lo, Walker H. Land, Daniel W. McKee, 2001, SMCia/01. Proceedings of the 2001 IEEE Mountain Workshop on Soft Computing in Industrial Applications (Cat. No.01EX504).

Application of support vector machines to breast cancer screening using mammogram and clinical history data

Joseph Y. Lo, Walker H. Land, Lut Wong, 2002, SPIE Medical Imaging.

Breast cancer classification improvements using a new kernel function with evolutionary-programming-configured support vector machines

Joseph Y. Lo, Walker H. Land, Daniel W. McKee, 2004, SPIE Medical Imaging.

Applying knowledge engineering and representation methods to improve support vector machine and multivariate probabilistic neural network CAD performance

Walker H. Land, Tom Smith, Lut Wong, 2005, SPIE Medical Imaging.

Configuring an Evolutionary Programming / Adaptive Boosting (EP/AB) Hybrid as a Modular AI System to Improve Three Layer MLFN Breast Cancer CAD Performance

John J. Heine, Walker H. Land, Frances R. Anderson, 2006 .

Performance tradeoff between evolutionary computation (EC)/adaptive boosting (AB) hybrid and support vector machine breast cancer classification paradigms

Joseph Y. Lo, Walker H. Land, Daniel W. McKee, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

Evolutionary programming technique for reducing complexity of artifical neural networks for breast cancer diagnosis

Clayton T. Morrison, Joseph Y. Lo, Walker H. Land, 2000, Medical Imaging: Image Processing.

Adaptive Big Data Analytics III

Rajab Challoo, Anthony D. Joseph, Claude Turner, 2011 .

Using an object-based grid system to evaluate a newly developed EP approach to formulate SVMs as applied to the classification of organophosphate nerve agents

Walker H. Land, Michael J. Lewis, Lut Wong, 2004, SPIE Defense + Commercial Sensing.