Glenn Fung

Jinbo Bi, Glenn Fung, Sriram Krishnan, 2007, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

Simplicial 2-Complex Convolutional Neural Networks

Glenn Fung, Vikas Singh, Eric Bunch, 2020 .

From Transformation-Based Dimensionality Reduction to Feature Selection

Jennifer G. Dy, Glenn Fung, Mahdokht Masaeli, 2010, ICML.

Random signature testing procedure: A new method to verify the prognostic performance of gene signatures

Glenn Fung, Harald Steck, Philippe Lambin, 2008 .

Computer aided detection via asymmetric cascade of sparse hyperplane classifiers

Jinbo Bi, Glenn Fung, Marcos Salganicoff, 2006, KDD '06.

An object-oriented diagram editor and code generator

Sjsu ScholarWorks, Glenn Fung, 1996 .

Multiple-Instance Learning Algorithms for Computer-Aided Detection

Murat Dundar, Glenn Fung, R. Bharat Rao, 2008, IEEE Transactions on Biomedical Engineering.

Fast semi-supervised SVM classifiers using a priori metric information

Jennifer G. Dy, Glenn Fung, R. Bharat Rao, 2008, Optim. Methods Softw..

Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data

Glenn Fung, Philippe Lambin, Shipeng Yu, 2009, 2009 International Conference on Machine Learning and Applications.

Multiple Instance Learning for Computer Aided Diagnosis

Murat Dundar, Glenn Fung, R. Bharat Rao, 2006, NIPS.

Using Discriminative Graphical Models for Insurance Recommender Systems

Glenn Fung, Joseph Bockhorst, Maleeha Qazi, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

CAD for polyp detection: an invaluable tool to meet the increasing need for colon-cancer screening

Murat Dundar, Alok Gupta, Glenn Fung, 2004, CARS.

Semi-supervised mixture of kernels via LPBoost methods

Murat Dundar, Jinbo Bi, Glenn Fung, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Learning Sparse Kernels from 3D Surfaces for Heart Wall Motion Abnormality Detection

Hui Chen, Glenn Fung, R. Bharat Rao, 2008, AAAI.

Mileage Extraction From Odometer Pictures for Automating Auto Insurance Processes

Glenn Fung, Shailesh Acharya, 2019, Front. Appl. Math. Stat..

SVM feature selection for classification of SPECT images of Alzheimer's disease using spatial information

Glenn Fung, Jonathan Stoeckel, Glenn Fung, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Equivalence of Minimal ℓ0- and ℓp-Norm Solutions of Linear Equalities, Inequalities and Linear Programs for Sufficiently Small p

Glenn Fung, Olvi L. Mangasarian, O. Mangasarian, 2011, J. Optim. Theory Appl..

Sparse Fisher Discriminant Analysis for Computer Aided Detection

Murat Dundar, Jinbo Bi, Glenn Fung, 2005, SDM.

Privacy-preserving classification of vertically partitioned data via random kernels

Glenn Fung, Olvi L. Mangasarian, Edward W. Wild, 2008, TKDD.

Using Optimal Embeddings to Learn New Intents with Few Examples: An Application in the Insurance Domain

Glenn Fung, Shailesh Acharya, Shailesh Acharya, 2020, Converse@KDD.

Rule extraction from linear support vector machines

Glenn Fung, R. Bharat Rao, Sathyakama Sandilya, 2005, KDD '05.

Breast Tumor Susceptibility to Chemotherapy Via Support Vector Machines

Glenn Fung, Olvi L. Mangasarian, O. Mangasarian, 2006, Comput. Manag. Sci..

Evaluating Crowdsourcing Participants in the Absence of Ground-Truth pdf

Subramanian Ramanathan, Jennifer G. Dy, Glenn Fung, 2016, ArXiv.

Learning sparse metrics via linear programming

Glenn Fung, Rómer Rosales, Rómer Rosales, 2006, KDD '06.

SVM Feature Selection for Classification of SPECT Images of Alzheimer's Disease Using Spatial Information

Glenn Fung, Jonathan Stoeckel, 2005, ICDM.

Batch Classification with Applications in Computer Aided Diagnosis

Jennifer G. Dy, Glenn Fung, R. Bharat Rao, 2006, ECML.

Multicategory Proximal Support Vector Machine Classifiers

Glenn Fung, Olvi L. Mangasarian, O. Mangasarian, 2005, Machine Learning.

On the Dangers of Cross-Validation. An Experimental Evaluation

Glenn Fung, R. Bharat Rao, R. B. Rao, 2008, SDM.

Proximal Knowledge‐based Classification

Glenn Fung, Olvi L. Mangasarian, Edward W. Wild, 2009, Stat. Anal. Data Min..

Predicting Readmission Risk with Institution Specific Prediction Models

Glenn Fung, Shipeng Yu, Balaji Krishnapuram, 2013, 2013 IEEE International Conference on Healthcare Informatics.

A methodology for training and validating a CAD system and potential pitfalls

Murat Dundar, Glenn Fung, R. Bharat Rao, 2004, CARS.

Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario

Jennifer G. Dy, Glenn Fung, Rómer Rosales, 2010, UAI.

Editorial: Artificial Intelligence in Insurance and Finance

Glenn Fung, Luisa F. Polania, Sou-Cheng T. Choi, 2021, Frontiers in Applied Mathematics and Statistics.

Development, External Validation and Further Improvement of a Prediction Model for Survival of Non-small Cell Lung Cancer Patients Treated with (Chemo) Radiotherapy

Glenn Fung, Shipeng Yu, P. Lambin, 2008 .

Proximal Knowledge-based Classification

Glenn Fung, Olvi L. Mangasarian, Edward W. Wild, 2009 .

A Simple but Highly Effective Approach to Evaluate the Prognostic Performance of Gene Expression Signatures

Glenn Fung, Harald Steck, Philippe Lambin, 2011, PloS one.

A new, accurate predictive model for incident hypertension

Glenn Fung, Uwe Völker, Shipeng Yu, 2013, Journal of hypertension.

Impact of supervised gene signatures of early hypoxia on patient survival.

Glenn Fung, Balaji Krishnapuram, Philippe Lambin, 2007, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.