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Glenn Fung
Glenn Fung
Elevance Health
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Proximal support vector machine classifiers
G Fung, OL Mangasarian
Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001
14142001
Fast optimization methods for l1 regularization: A comparative study and two new approaches
M Schmidt, G Fung, R Rosales
Machine Learning: ECML 2007: 18th European Conference on Machine Learning …, 2007
4632007
Nyströmformer: A nyström-based algorithm for approximating self-attention
Y Xiong, Z Zeng, R Chakraborty, M Tan, G Fung, Y Li, V Singh
Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 14138 …, 2021
4312021
Active learning from crowds
Y Yan, GM Fung, R Rosales, JG Dy
Proceedings of the 28th international conference on machine learning (ICML …, 2011
4242011
A feature selection Newton method for support vector machine classification
GM Fung, OL Mangasarian
Computational optimization and applications 28, 185-202, 2004
3902004
On the dangers of cross-validation. An experimental evaluation
RB Rao, G Fung, R Rosales
Proceedings of the 2008 SIAM international conference on data mining, 588-596, 2008
3142008
Semi-superyised support vector machines for unlabeled data classification
G Fung, OL Mangasarian
Optimization methods and software 15 (1), 29-44, 2001
2992001
Knowledge-based support vector machine classifiers
G Fung, O Mangasarian, J Shavlik
Advances in neural information processing systems 15, 2002
2622002
Modeling annotator expertise: Learning when everybody knows a bit of something
Y Yan, R Rosales, G Fung, M Schmidt, G Hermosillo, L Bogoni, L Moy, ...
Proceedings of the thirteenth international conference on artificial …, 2010
2552010
Incremental support vector machine classification
G Fung, OL Mangasarian
Proceedings of the 2002 SIAM International Conference on Data Mining, 247-260, 2002
2272002
Rule extraction from linear support vector machines
G Fung, S Sandilya, RB Rao
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005
2212005
Learning from multiple annotators with varying expertise
Y Yan, R Rosales, G Fung, R Subramanian, J Dy
Machine learning 95, 291-327, 2014
2202014
Systems and methods for automated diagnosis and decision support for breast imaging
S Krishnan, RB Rao, M Dundar, G Fung
US Patent 7,640,051, 2009
2182009
SVM feature selection for classification of SPECT images of Alzheimer's disease using spatial information
G Fung, J Stoeckel
Knowledge and Information Systems 11 (2), 243-258, 2007
2052007
A comprehensive overview of basic clustering algorithms
G Fung
1922001
From transformation-based dimensionality reduction to feature selection
M Masaeli, JG Dy, GM Fung
Proceedings of the 27th international conference on machine learning (ICML …, 2010
1832010
Structure learning in random fields for heart motion abnormality detection
M Schmidt, K Murphy, G Fung, R Rosales
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
1612008
Finite Newton method for Lagrangian support vector machine classification
G Fung, OL Mangasarian
Neurocomputing 55 (1-2), 39-55, 2003
1542003
Predicting readmission risk with institution-specific prediction models
S Yu, F Farooq, A Van Esbroeck, G Fung, V Anand, B Krishnapuram
Artificial intelligence in medicine 65 (2), 89-96, 2015
1502015
Multiple instance learning for computer aided diagnosis
M Dundar, B Krishnapuram, R Rao, G Fung
Advances in neural information processing systems 19, 2006
1442006
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Artikelen 1–20