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2000 – 2009
- 2005
[c9]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- [c8]Walker H. Land, Frances R. Anderson, Tom Smith, Stephen Fahlbusch, Robert Choma, Lut Wong:
Applying knowledge engineering and representation methods to improve support vector machine and multivariate probabilistic neural network CAD performance. Image Processing 2005 - 2004
- [c7]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- - [c6]Walker H. Land, Daniel W. McKee, Frances R. Anderson, Joseph Y. Lo
:
Breast cancer classification improvements using a new kernel function with evolutionary-programming-configured support vector machines. Image Processing 2004 - [c5]Walker H. Land, Lut Wong, Daniel W. McKee, Timothy Masters, Frances R. Anderson, Anurag Raturi, Joseph Y. Lo:
New results in computer-aided diagnosis (CAD) of breast cancer using a recently developed SVM/GRNN Oracle hybrid. Image Processing 2004 - 2003
- [c4]Walker H. Land, Daniel W. McKee, Joseph Y. Lo, Frances R. Anderson:
Improving the predictive value of mammography using a specialized evolutionary programming hybrid and fitness functions. Image Processing 2003 - [c3]Walker H. Land, Daniel W. McKee, Roberto Velazquez, Lut Wong, Joseph Y. Lo, Frances R. Anderson:
Application of support vector machines to breast cancer screening using mammogram and clinical history data. Image Processing 2003 - [c2]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 - 2002
- [c1]Walker H. Land, Margaret Bryden, Joseph Y. Lo, Daniel W. McKee, Frances R. Anderson:
Performance tradeoff between evolutionary computation (EC)/adaptive boosting (AB) hybrid and support vector machine breast cancer classification paradigms. IEEE Congress on Evolutionary Computation 2002: 187-192
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