Murat Dundar

Ferit Akova, Murat Dundar, Yuan Qi, Bartek Rajwa: Self-Adjusting Models for Semi-supervised Learning in Partially Observed Settings. ICDM 2012: 21-30

Murat Dundar, Ferit Akova, Alan Qi, Bartek Rajwa: Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes. ICML 2012

Murat Dundar, Ferit Akova, Alan Qi, Bartek Rajwa: Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes. CoRR abs/1206.4600 (2012)

Murat Dundar, Sunil Badve, Gökhan Bilgin, Vikas C. Raykar, Rohit K. Jain, Olcay Sertel, Metin N. Gurcan: Computerized Classification of Intraductal Breast Lesions Using Histopathological Images. IEEE Trans. Biomed. Engineering 58(7): 1977-1984 (2011)

Ferit Akova, Murat Dundar, V. Jo Davisson, E. Daniel Hirleman, Arun K. Bhunia, J. Paul Robinson, Bartek Rajwa: A machine-learning approach to detecting unknown bacterial serovars. Statistical Analysis and Data Mining 3(5): 289-301 (2010)

Murat Dundar, Sunil Badve, Vikas C. Raykar, Rohit K. Jain, Olcay Sertel, Metin N. Gurcan: A Multiple Instance Learning Approach toward Optimal Classification of Pathology Slides. ICPR 2010: 2732-2735

Murat Dundar: Target Detection with Spatio-spectral Data via Concordance Learning. IGARSS (2) 2009: 133-135

Murat Dundar, E. Daniel Hirleman, Arun K. Bhunia, J. Paul Robinson, Bartek Rajwa: Learning with a non-exhaustive training dataset: a case study: detection of bacteria cultures using optical-scattering technology. KDD 2009: 279-288

Le Lu, Matthias Wolf, Jianming Liang, Murat Dundar, Jinbo Bi, Marcos Salganicoff: A Two-Level Approach Towards Semantic Colon Segmentation: Removing Extra-Colonic Findings. MICCAI (1) 2009: 1009-1016

Ferit Akova, E. Daniel Hirleman, Arun K. Bhunia, Bartek Rajwa, Murat Dundar: Non-exhaustive Learning for Bacteria Detection. NBiS 2009: 206-211

Murat Dundar, Glenn Fung, Balaji Krishnapuram, R. Bharat Rao: Multiple-Instance Learning Algorithms for Computer-Aided Detection. IEEE Trans. Biomed. Engineering 55(3): 1015-1021 (2008)

Murat Dundar, Matthias Wolf, Sarang Lakare, Marcos Salganicoff, Vikas C. Raykar: Polyhedral classifier for target detection: a case study: colorectal cancer. ICML 2008: 288-295

Vikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Murat Dundar, R. Bharat Rao: Bayesian multiple instance learning: automatic feature selection and inductive transfer. ICML 2008: 808-815

Jinbo Bi, Tao Xiong, Shipeng Yu, Murat Dundar, R. Bharat Rao: An Improved Multi-task Learning Approach with Applications in Medical Diagnosis. ECML/PKDD (1) 2008: 117-132

Murat Dundar, Jinbo Bi: Joint Optimization of Cascaded Classifiers for Computer Aided Detection. CVPR 2007

Murat Dundar, Balaji Krishnapuram, Jinbo Bi, R. Bharat Rao: Learning Classifiers When the Training Data Is Not IID. IJCAI 2007: 756-761

Murat Dundar, James Theiler, Simon Perkins: Incorporating Spatial Contiguity into the Design of a Support Vector Machine Classifier. IGARSS 2006: 364-367

Glenn Fung, Murat Dundar, Balaji Krishnapuram, R. Bharat Rao: Multiple Instance Learning for Computer Aided Diagnosis. NIPS 2006: 425-432

Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao: Semi-Supervised Mixture of Kernels via LPBoost Methods. ICDM 2005: 569-572

Murat Dundar, Glenn Fung, Jinbo Bi, Sathyakama Sandilya, R. Bharat Rao: Sparse Fisher Discriminant Analysis for Computer Aided Detection. SDM 2005

Murat Dundar, David A. Landgrebe: A cost-effective semisupervised classifier approach with kernels. IEEE T. Geoscience and Remote Sensing 42(1): 264-270 (2004)

Murat Dundar, David A. Landgrebe: Toward an optimal supervised classifier for the analysis of hyperspectral data. IEEE T. Geoscience and Remote Sensing 42(1): 271-277 (2004)

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: 978-982

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: 1010-1014

Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao: A fast iterative algorithm for fisher discriminant using heterogeneous kernels. ICML 2004

Murat Dundar, David A. Landgrebe: A model-based mixture-supervised classification approach in hyperspectral data analysis. IEEE T. Geoscience and Remote Sensing 40(12): 2692-2699 (2002)