Bibliotecas PUC-SP - Busca Integrada

UNSUPERVISED LEARNING WITH INDEPENDENT COMPONENT ANALYSIS CAN IDENTIFY PATTERNS OF GLAUCOMATOUS VISUAL FIELD DEFECTS

Por Goldbaum, Michael Henry
Publicado em 2005

Analysis with Support Vector Machine Shows HIV-Positive Subjects without Infectious Retinitis Have mfERG Deficiencies Compared to Normal Eyes

Por Goldbaum, Michael H., Falkenstein, Irina, Kozak, Igor, Hao, Jiucang, Bartsch, Dirk-Uwe, Sejnowski, Terrance, Freeman, William R.
Publicado em 2008

MACHINE LEARNING CLASSIFIERS DETECT SUBTLE FIELD DEFECTS IN EYES OF HIV INDIVIDUALS

Por Kozak, Igor, Sample, Pamela A., Hao, Jiucang, Freeman, William R., Weinreb, Robert N., Lee, Te-Won, Goldbaum, Michael H.
Publicado em 2007

Assessing Visual Field Clustering Schemes Using Machine Learning Classifiers in Standard Perimetry

Por Boden, Catherine, Chan, Kwokleung, Sample, Pamela A., Hao, Jiucang, Lee, Te-Wan, Zangwill, Linda M., Weinreb, Robert N., Goldbaum, Michael H.
Publicado em 2007

Using Unsupervised Learning with Independent Component Analysis to Identify Patterns of Glaucomatous Visual Field Defects

Por Goldbaum, Michael H., Sample, Pamela A., Zhang, Zuohua, Chan, Kwokleung, Hao, Jiucang, Lee, Te-Won, Boden, Catherine, Bowd, Christopher, Bourne, Rupert, Zangwill, Linda, Sejnowski, Terrence, Spinak, David, Weinreb, Robert N.
Publicado em 2005

Unsupervised Machine Learning with Independent Component Analysis to Identify Areas of Progression in Glaucomatous Visual Fields

Por Sample, Pamela A., Boden, Catherine, Zhang, Zuohua, Pascual, John, Lee, Te-Won, Zangwill, Linda M., Weinreb, Robert N., Crowston, Jonathan G., Hoffmann, Esther M., Medeiros, Felipe A., Sejnowski, Terrence, Goldbaum, Michael
Publicado em 2005