Murat Dundar

Publication Activity (10 Years)

Years Active: 2002-2022
Publications (10 Years): 18

Top Topics

Diagnostic Systems

Bayesian Learning

Top Venues

Publications

Allison Irvine, Tan Dang, Murat Dundar, Bartek Rajwa
IM: An R-Package for Computation of Image Moments and Moment Invariants. CoRR (2022)
Abida Sanjana Shemonti, Emanuele Plebani, Natalia P. Biscola, Deborah M. Jaffey, Leif A. Havton, Janet R. Keast, Alex Pothen, Murat Dundar, Terry L. Powley, Bartek Rajwa
A novel statistical methodology for quantifying the spatial arrangements of axons in peripheral nerves. CoRR (2022)
Davinder Kaur, Suleyman Uslu, Arjan Durresi, Sunil Badve, Murat Dundar
Trustworthy Explainability Acceptance: A New Metric to Measure the Trustworthiness of Interpretable AI Medical Diagnostic Systems. CISIS (2021)
Sarkhan Badirli, Mary Borgo Ton, Abdulmecit Gungor, Murat Dundar
Open Set Authorship Attribution Toward Demystifying Victorian Periodicals. ICDAR (4) (2021)
Sarkhan Badirli, Zeynep Akata, George O. Mohler, Christine Picard, Murat Dundar
Fine-Grained Zero-Shot Learning with DNA as Side Information. NeurIPS (2021)
Sarkhan Badirli, Zeynep Akata, George O. Mohler, Christine Picard, Murat Dundar
Fine-Grained Zero-Shot Learning with DNA as Side Information. CoRR (2021)
Sarkhan Badirli, Zeynep Akata, Murat Dundar
Bayesian Zero-Shot Learning. ECCV Workshops (1) (2020)
Yicheng Cheng, Bartek Rajwa, Murat Dundar
Bayesian Nonparametrics for Non-exhaustive Learning. CoRR (2019)
Sarkhan Badirli, Mary Borgo Ton, Abdulmecit Gungor, Murat Dundar
Open Set Authorship Attribution toward Demystifying Victorian Periodicals. CoRR (2019)
Sarkhan Badirli, Zeynep Akata, Murat Dundar
Bayesian Zero-Shot Learning. CoRR (2019)
Baichuan Zhang, Murat Dundar, Vachik S. Dave, Mohammad Al Hasan
Dirichlet Process Gaussian Mixture for Active Online Name Disambiguation by Particle Filter. JCDL (2019)
Murat Dundar, Bethany L. Ehlmann, Ellen K. Leask
Machine-Learning-Driven New Geologic Discoveries at Mars Rover Landing Sites: Jezero and NE Syrtis. CoRR (2019)
Bartek Rajwa, Paul K. Wallace, Elizabeth A. Griffiths, Murat Dundar
Automated Assessment of Disease Progression in Acute Myeloid Leukemia by Probabilistic Analysis of Flow Cytometry Data. IEEE Trans. Biomed. Eng. 64 (5) (2017)
Baichuan Zhang, Murat Dundar, Mohammad Al Hasan
Bayesian Non-Exhaustive Classification for Active Online Name Disambiguation. CoRR (2017)
Halid Ziya Yerebakan, Murat Dundar
Partially collapsed parallel Gibbs sampler for Dirichlet process mixture models. Pattern Recognit. Lett. 90 (2017)
Baichuan Zhang, Murat Dundar, Mohammad Al Hasan
Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams. CIKM (2016)
Murat Dundar, Bethany L. Ehlmann
Rare jarosite detection in crism imagery by non-parametric Bayesian clustering. WHISPERS (2016)
Baichuan Zhang, Murat Dundar, Mohammad Al Hasan
Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams. CoRR (2016)
Xiaofan Zhang, Wei Liu, Murat Dundar, Sunil Badve, Shaoting Zhang
Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval. IEEE Trans. Medical Imaging 34 (2) (2015)
Murat Dundar, Qiang Kou, Baichuan Zhang, Yicheng He, Bartek Rajwa
Simplicity of Kmeans Versus Deepness of Deep Learning: A Case of Unsupervised Feature Learning with Limited Data. ICMLA (2015)
Murat Dundar, Ferit Akova, Halid Ziya Yerebakan, Bartek Rajwa
A Non-parametric Bayesian Model for Joint Cell Clustering and Cluster Matching: Identification of Anomalous Sample Phenotypes with Random Effects. BMC Bioinform. 15 (2014)
Murat Dundar, Halid Ziya Yerebakan, Bartek Rajwa
Batch discovery of recurring rare classes toward identifying anomalous samples. KDD (2014)
Halid Ziya Yerebakan, Bartek Rajwa, Murat Dundar
The Infinite Mixture of Infinite Gaussian Mixtures. NIPS (2014)
Murat Dundar, Lin Li, Bartek Rajwa
Partially-observed models for classifying minerals on Mars. WHISPERS (2013)
Ferit Akova, Murat Dundar, Yuan (Alan) Qi, Bartek Rajwa
Self-Adjusting Models for Semi-supervised Learning in Partially Observed Settings. ICDM (2012)
Murat Dundar, Ferit Akova, Alan Qi, Bartek Rajwa
Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes CoRR (2012)
Murat Dundar, Ferit Akova, Alan Qi, Bartek Rajwa
Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes. ICML (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. Eng. 58 (7) (2011)
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)
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. Stat. Anal. Data Min. 3 (5) (2010)
Murat Dundar
Target Detection with Spatio-spectral Data via Concordance Learning. IGARSS (2) (2009)
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)
Ferit Akova, E. Daniel Hirleman, Arun K. Bhunia, Bartek Rajwa, Murat Dundar
Non-exhaustive Learning for Bacteria Detection. NBiS (2009)
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)
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)
Murat Dundar, Matthias Wolf, Sarang Lakare, Marcos Salganicoff, Vikas C. Raykar
Polyhedral classifier for target detection: a case study: colorectal cancer. ICML (2008)
Vikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Murat Dundar, R. Bharat Rao
Bayesian multiple instance learning: automatic feature selection and inductive transfer. ICML (2008)
Murat Dundar, Glenn Fung, Balaji Krishnapuram, R. Bharat Rao
Multiple-Instance Learning Algorithms for Computer-Aided Detection. IEEE Trans. Biomed. Eng. 55 (3) (2008)
Murat Dundar, Balaji Krishnapuram, Jinbo Bi, R. Bharat Rao
Learning Classifiers When the Training Data Is Not IID. IJCAI (2007)
Murat Dundar, Balaji Krishnapuram, Matthias Wolf, Sarang Lakare, Luca Bogoni, Jinbo Bi, R. Bharat Rao
Training a CAD classifier with correlated data. Medical Imaging: Computer-Aided Diagnosis (2007)
Murat Dundar, Jinbo Bi
Joint Optimization of Cascaded Classifiers for Computer Aided Detection. CVPR (2007)
Matthias Wolf, Pascal Cathier, Sarang Lakare, Murat Dundar, Luca Bogoni
Efficient detection of polyps in CT colonography. Medical Imaging: Computer-Aided Diagnosis (2007)
Murat Dundar, James Theiler, Simon Perkins
Incorporating Spatial Contiguity into the Design of a Support Vector Machine Classifier. IGARSS (2006)
Glenn Fung, Murat Dundar, Balaji Krishnapuram, R. Bharat Rao
Multiple Instance Learning for Computer Aided Diagnosis. NIPS (2006)
Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao
Semi-Supervised Mixture of Kernels via LPBoost Methods. ICDM (2005)
Murat Dundar, Glenn Fung, Jinbo Bi, Sathyakama Sandilya, R. Bharat Rao
Sparse Fisher Discriminant Analysis for Computer Aided Detection. SDM (2005)
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)
Murat Dundar, David A. Landgrebe
A cost-effective semisupervised classifier approach with kernels. IEEE Trans. Geosci. Remote. Sens. 42 (1) (2004)
Pascal Cathier, Senthil Periaswamy, Anna K. Jerebko, Murat Dundar, Jianming 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)
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
Toward an optimal supervised classifier for the analysis of hyperspectral data. IEEE Trans. Geosci. Remote. Sens. 42 (1) (2004)
Murat Dundar, David A. Landgrebe
A model-based mixture-supervised classification approach in hyperspectral data analysis. IEEE Trans. Geosci. Remote. Sens. 40 (12) (2002)