Search results for "Glenn Fung"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Yan Yan, Rómer Rosales, Glenn Fung, Faisal Farooq, Bharat Rao, Jennifer G. Dy	Active Learning from Multiple Knowledge Sources.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy	Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario	CoRR	2012	DBLP BibTeX RDF
1	Glenn Fung, O. L. Mangasarian	Equivalence of Minimal ℓ0- and ℓp-Norm Solutions of Linear Equalities, Inequalities and Linear Programs for Sufficiently Small p.	J. Optimization Theory and Applications	2011	DBLP DOI BibTeX RDF
1	Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy	Active Learning from Crowds.	ICML	2011	DBLP BibTeX RDF
1	Yan Yan, Rómer Rosales, Glenn Fung, Mark W. Schmidt, Gerardo Hermosillo Valadez, Luca Bogoni, Linda Moy, Jennifer G. Dy	Modeling annotator expertise: Learning when everybody knows a bit of something.	Journal of Machine Learning Research - Proceedings Track	2010	DBLP BibTeX RDF
1	Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, Jennifer G. Dy	Convex Principal Feature Selection.	SDM	2010	DBLP BibTeX RDF
1	Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy	From Transformation-Based Dimensionality Reduction to Feature Selection.	ICML	2010	DBLP BibTeX RDF
1	Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy	Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario.	UAI	2010	DBLP BibTeX RDF
1	Yan Yan, Glenn Fung, Jennifer G. Dy, Rómer Rosales	Medical coding classification by leveraging inter-code relationships.	KDD	2010	DBLP DOI BibTeX RDF	large margin, medical coding, classification, multi-label classification, L1 regularization, medical data mining
1	Olvi L. Mangasarian, Edward W. Wild, Glenn Fung	Proximal Knowledge-based Classification.	Statistical Analysis and Data Mining	2009	DBLP DOI BibTeX RDF
1	Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao	Using Local Dependencies within Batches to Improve Large Margin Classifiers.	Journal of Machine Learning Research	2009	DBLP DOI BibTeX RDF
1	Volkan Vural, Glenn Fung, Rómer Rosales, Jennifer G. Dy	Multi-Class Classifiers and their Underlying Shared Structure.	IJCAI	2009	DBLP BibTeX RDF
1	Andre Dekker, Cary Dehing-Oberije, Dirk De Ruysscher, Philippe Lambin, Kartik Komati, Glenn Fung, Shipeng Yu, Andrew Hope, Wilfried De Neve, Yolande Lievens	Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data.	ICMLA	2009	DBLP DOI BibTeX RDF	Bayesian networks, radiotherapy, lung cancer
1	Olvi L. Mangasarian, Edward W. Wild, Glenn Fung	Privacy-preserving classification of vertically partitioned data via random kernels.	TKDD	2008	DBLP DOI BibTeX RDF	Privacy preserving classification, vertically partitioned data, support vector machines
1	Glenn Fung, Sathyakama Sandilya, R. Bharat Rao	Rule Extraction from Linear Support Vector Machines via Mathematical Programming.	Rule Extraction from Support Vector Machines	2008	DBLP DOI BibTeX RDF
1	R. Bharat Rao, Glenn Fung	On the Dangers of Cross-Validation. An Experimental Evaluation.	SDM	2008	DBLP BibTeX RDF
1	Mark W. Schmidt, Kevin P. Murphy, Glenn Fung, Rómer Rosales	Structure learning in random fields for heart motion abnormality detection.	CVPR	2008	DBLP DOI BibTeX RDF
1	Philippe Bamberger, Isaac Leichter, Nicolas Merlet, Eli Ratner, Glenn Fung, Richard Lederman	Optimizing the CAD Process for Detecting Mammographic Lesions by a New Generation Algorithm Using Linear Classifiers and a Gradient Based Approach.	Digital Mammography / IWDM	2008	DBLP DOI BibTeX RDF
1	Isaac Leichter, Richard Lederman, Eli Ratner, Nicolas Merlet, Glenn Fung, Balaji Krishnapuram, Philippe Bamberger	Does a Mammography CAD Algorithm with Varying Filtering Levels of Detection Marks, Used to Reduce the False Mark Rate, Adversely Affect the Detection of Small Masses?.	Digital Mammography / IWDM	2008	DBLP DOI BibTeX RDF
1	Glenn Fung, Sriram Krishnan, R. Bharat Rao, Hui Chen	Learning Sparse Kernels from 3D Surfaces for Heart Wall Motion Abnormality Detection.	AAAI	2008	DBLP BibTeX RDF
1	Shipeng Yu, Glenn Fung, Rómer Rosales, Sriram Krishnan, R. Bharat Rao, Cary Dehing-Oberije, Philippe Lambin	Privacy-preserving cox regression for survival analysis.	KDD	2008	DBLP DOI BibTeX RDF	cox regression, privacy-preserving data mining, survival analysis
1	Glenn Fung, Jonathan Stoeckel	SVM feature selection for classification of SPECT images of Alzheimer's disease using spatial information.	Knowl. Inf. Syst.	2007	DBLP DOI BibTeX RDF	Support vector machines, Medical imaging, Mathematical programming, Alzheimer's disease
1	Glenn Fung, Rómer Rosales, R. Bharat Rao	Feature Selection and Kernel Design via Linear Programming.	IJCAI	2007	DBLP BibTeX RDF
1	Maleeha Qazi, Glenn Fung, Sriram Krishnan, Rómer Rosales, Harald Steck, R. Bharat Rao, Don Poldermans, Dhanalakshmi Chandrasekaran	Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks.	IJCAI	2007	DBLP BibTeX RDF
1	Mark W. Schmidt, Glenn Fung, Rómer Rosales	Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches.	ECML	2007	DBLP DOI BibTeX RDF
1	Glenn Fung, Renaud. Seigneuric, Sriram Krishnan, R. Bharat Rao, Brad G. Wouters, Philippe Lambin	Reducing a Biomarkers List via Mathematical Programming: Application to Gene Signatures to Detect Time-Dependent Hypoxia in Cancer.	ICMLA	2007	DBLP DOI BibTeX RDF
1	R. Bharat Rao, Jinbo Bi, Glenn Fung, Marcos Salganicoff, Nancy Obuchowski, David P. Naidich	LungCAD: a clinically approved, machine learning system for lung cancer detection.	KDD	2007	DBLP DOI BibTeX RDF	lung cancer prognosis, classification, computer aided detection, clinical trial
1	Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao	Batch Classification with Applications in Computer Aided Diagnosis.	ECML	2006	DBLP DOI BibTeX RDF
1	Glenn Fung, Balaji Krishnapuram, Nicolas Merlet, Eli Ratner, Philippe Bamberger, Jonathan Stoeckel, R. Bharat Rao	Addressing Image Variability While Learning Classifiers for Detecting Clusters of Micro-calcifications.	Digital Mammography / IWDM	2006	DBLP DOI BibTeX RDF
1	Glenn Fung, Murat Dundar, Balaji Krishnapuram, R. Bharat Rao	Multiple Instance Learning for Computer Aided Diagnosis.	NIPS	2006	DBLP BibTeX RDF
1	Rómer Rosales, Glenn Fung	Learning sparse metrics via linear programming.	KDD	2006	DBLP DOI BibTeX RDF	linear projections, relative distance constraints, linear programming, dimensionality reduction, convex optimization, metric learning
1	Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Toshiro Kubota, Glenn Fung, Marcos Salganicoff, R. Bharat Rao	Computer aided detection via asymmetric cascade of sparse hyperplane classifiers.	KDD	2006	DBLP DOI BibTeX RDF	cascading classification, sparse solutions, support vector machines, mathematical programming, computer aided detection
1	Glenn Fung, Olvi L. Mangasarian	Multicategory Proximal Support Vector Machine Classifiers.	Machine Learning	2005	DBLP DOI BibTeX RDF	multicategory data classification, proximal classifiers, support vector machines
1	Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao	Semi-Supervised Mixture of Kernels via LPBoost Methods.	ICDM	2005	DBLP DOI BibTeX RDF
1	Jonathan Stoeckel, Glenn Fung	SVM Feature Selection for Classification of SPECT Images of Alzheimer's Disease Using Spatial Information.	ICDM	2005	DBLP DOI BibTeX RDF
1	Murat Dundar, Glenn Fung, Jinbo Bi, Sathyakama Sandilya, R. Bharat Rao	Sparse Fisher Discriminant Analysis for Computer Aided Detection.	SDM	2005	DBLP BibTeX RDF
1	Glenn Fung, Maleeha Qazi, Sriram Krishnan, Jinbo Bi, R. Bharat Rao, A. Katz	Sparse classifiers for Automated HeartWall Motion Abnormality Detection.	ICMLA	2005	DBLP DOI BibTeX RDF
1	Glenn Fung, Rómer Rosales, Balaji Krishnapuram	Learning Rankings via Convex Hull Separation.	NIPS	2005	DBLP BibTeX RDF
1	Glenn Fung, Sathyakama Sandilya, R. Bharat Rao	Rule extraction from linear support vector machines.	KDD	2005	DBLP DOI BibTeX RDF	mathematical programming, rule extraction, linear classifiers, medical decision-support
1	Murat Dundar, Glenn Fung, Luca Bogoni, Michael Macari, A. Megibow, R. Bharat Rao	A methodology for training and validating a CAD system and potential pitfalls.	CARS	2004	DBLP BibTeX RDF
1	Pascal Cathier, Senthil Periaswamy, Anna K. Jerebko, Murat Dundar, J. Liang, Glenn Fung, Jonathan Stoeckel, T. Venkata, R. Amara, Arun Krishnan, R. Bharat Rao, Alok Gupta, E. Vega, Shaked Laks, A. Megibow, Michael Macari, Luca Bogoni	CAD for polyp detection: an invaluable tool to meet the increasing need for colon-cancer screening.	CARS	2004	DBLP BibTeX RDF
1	Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao	A fast iterative algorithm for fisher discriminant using heterogeneous kernels.	ICML	2004	DBLP DOI BibTeX RDF	Heterogeneous Kernels, Linear Fisher Discriminant, Mathematical Programming, Binary Classification
1	Glenn Fung, Olvi L. Mangasarian	Finite Newton method for Lagrangian support vector machine classification.	Neurocomputing	2003	DBLP DOI BibTeX RDF
1	Glenn Fung	The disputed federalist papers: SVM feature selection via concave minimization.	Richard Tapia Celebration of Diversity in Computing Conference	2003	DBLP DOI BibTeX RDF	support vector machines, text classification
1	Glenn Fung, Olvi L. Mangasarian, Jude W. Shavlik	Knowledge-Based Nonlinear Kernel Classifiers.	COLT	2003	DBLP DOI BibTeX RDF	support vector machines, linear programming, prior knowledge
1	Glenn Fung, Olvi L. Mangasarian, Alex J. Smola	Minimal Kernel Classifiers.	Journal of Machine Learning Research	2002	DBLP BibTeX RDF
1	Glenn Fung, Olvi L. Mangasarian	Incremental Support Vector Machine Classification.	SDM	2002	DBLP BibTeX RDF
1	Glenn Fung, Olvi L. Mangasarian, Jude W. Shavlik	Knowledge-Based Support Vector Machine Classifiers.	NIPS	2002	DBLP BibTeX RDF
1	Glenn Fung, Olvi L. Mangasarian	Proximal support vector machine classifiers.	KDD	2001	DBLP DOI BibTeX RDF	support vector machines, linear equations, data classification
1	Glenn Fung, Olvi L. Mangasarian	Data selection for support vector machine classifiers.	KDD	2000	DBLP DOI BibTeX RDF	support vector machines, linear programming, data classification, data selection, concave minimization

Publications of "Glenn Fung" ( http://dblp.L3S.de/Authors/Glenn_Fung )