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2020 – today
- 2022
[i10]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 abs/2210.09554 (2022)- [i9]Allison Irvine, Tan Dang, Murat Dundar, Bartek Rajwa:
IM: An R-Package for Computation of Image Moments and Moment Invariants. CoRR abs/2210.16485 (2022) - 2021
- [c32]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: 35-46 - [c31]Sarkhan Badirli, Mary Borgo Ton, Abdulmecit Gungor, Murat Dundar:
Open Set Authorship Attribution Toward Demystifying Victorian Periodicals. ICDAR (4) 2021: 221-235 - [c30]Sarkhan Badirli, Zeynep Akata, George O. Mohler, Christine Picard, Murat Dundar:
Fine-Grained Zero-Shot Learning with DNA as Side Information. NeurIPS 2021: 19352-19362 - [i8]Sarkhan Badirli, Zeynep Akata, George O. Mohler, Christine Picard, Murat Dundar:
Fine-Grained Zero-Shot Learning with DNA as Side Information. CoRR abs/2109.14133 (2021) - 2020
- [c29]Sarkhan Badirli, Zeynep Akata, Murat Dundar:
Bayesian Zero-Shot Learning. ECCV Workshops (1) 2020: 687-703
2010 – 2019
- 2019
- [c28]Baichuan Zhang, Murat Dundar, Vachik S. Dave, Mohammad Al Hasan:
Dirichlet Process Gaussian Mixture for Active Online Name Disambiguation by Particle Filter. JCDL 2019: 269-278 - [i7]Sarkhan Badirli, Zeynep Akata, Murat Dundar:
Bayesian Zero-Shot Learning. CoRR abs/1907.09624 (2019) - [i6]Yicheng Cheng, Bartek Rajwa, Murat Dundar:
Bayesian Nonparametrics for Non-exhaustive Learning. CoRR abs/1908.09736 (2019) - [i5]Murat Dundar, Bethany L. Ehlmann, Ellen K. Leask:
Machine-Learning-Driven New Geologic Discoveries at Mars Rover Landing Sites: Jezero and NE Syrtis. CoRR abs/1909.02387 (2019) - [i4]Sarkhan Badirli, Mary Borgo Ton, Abdulmecit Gungor, Murat Dundar:
Open Set Authorship Attribution toward Demystifying Victorian Periodicals. CoRR abs/1912.08259 (2019) - 2017
- [j10]Halid Ziya Yerebakan, Murat Dundar:
Partially collapsed parallel Gibbs sampler for Dirichlet process mixture models. Pattern Recognit. Lett. 90: 22-27 (2017) - [j9]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): 1089-1098 (2017) - [i3]Baichuan Zhang, Murat Dundar, Mohammad Al Hasan:
Bayesian Non-Exhaustive Classification for Active Online Name Disambiguation. CoRR abs/1708.04531 (2017) - 2016
- [c27]Baichuan Zhang, Murat Dundar, Mohammad Al Hasan:
Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams. CIKM 2016: 1341-1350 - [c26]Murat Dundar, Bethany L. Ehlmann:
Rare jarosite detection in crism imagery by non-parametric Bayesian clustering. WHISPERS 2016: 1-5 - [i2]Baichuan Zhang, Murat Dundar, Mohammad Al Hasan:
Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams. CoRR abs/1607.05746 (2016) - 2015
- [j8]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): 496-506 (2015) - [c25]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: 883-888 - 2014
- [j7]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: 314 (2014) - [c24]Murat Dundar, Halid Ziya Yerebakan, Bartek Rajwa:
Batch discovery of recurring rare classes toward identifying anomalous samples. KDD 2014: 223-232 - [c23]Halid Ziya Yerebakan, Bartek Rajwa, Murat Dundar:
The Infinite Mixture of Infinite Gaussian Mixtures. NIPS 2014: 28-36 - 2013
- [c22]Murat Dundar, Lin Li, Bartek Rajwa:
Partially-observed models for classifying minerals on Mars. WHISPERS 2013: 1-4 - 2012
- [c21]Ferit Akova, Murat Dundar, Yuan (Alan) Qi, Bartek Rajwa:
Self-Adjusting Models for Semi-supervised Learning in Partially Observed Settings. ICDM 2012: 21-30 - [c20]Murat Dundar, Ferit Akova, Yuan (Alan) Qi, Bartek Rajwa:
Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes. ICML 2012 - [i1]Murat Dundar, Ferit Akova, Yuan (Alan) Qi, Bartek Rajwa:
Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes. CoRR abs/1206.4600 (2012) - 2011
- [j6]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): 1977-1984 (2011) - 2010
- [j5]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): 289-301 (2010) - [c19]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
2000 – 2009
- 2009
- [c18]Murat Dundar:
Target Detection with Spatio-spectral Data via Concordance Learning. IGARSS (2) 2009: 133-135 - [c17]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 - [c16]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 - [c15]Ferit Akova, E. Daniel Hirleman, Arun K. Bhunia, Bartek Rajwa, Murat Dundar:
Non-exhaustive Learning for Bacteria Detection. NBiS 2009: 206-211 - 2008
- [j4]Murat Dundar, Glenn Fung, Balaji Krishnapuram, R. Bharat Rao:
Multiple-Instance Learning Algorithms for Computer-Aided Detection. IEEE Trans. Biomed. Eng. 55(3): 1015-1021 (2008) - [c14]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 - [c13]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 - [c12]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 - 2007
- [c11]Murat Dundar, Jinbo Bi:
Joint Optimization of Cascaded Classifiers for Computer Aided Detection. CVPR 2007 - [c10]Murat Dundar, Balaji Krishnapuram, Jinbo Bi, R. Bharat Rao:
Learning Classifiers When the Training Data Is Not IID. IJCAI 2007: 756-761 - [c9]Murat Dundar, Balaji Krishnapuram, Matthias Wolf, Sarang Lakare, Luca Bogoni, Jinbo Bi, R. Bharat Rao:
Training a CAD classifier with correlated data. Computer-Aided Diagnosis 2007: 65140H - [c8]Matthias Wolf, Pascal Cathier, Sarang Lakare, Murat Dundar, Luca Bogoni:
Efficient detection of polyps in CT colonography. Computer-Aided Diagnosis 2007: 651408 - 2006
- [c7]Murat Dundar, James Theiler, Simon Perkins:
Incorporating Spatial Contiguity into the Design of a Support Vector Machine Classifier. IGARSS 2006: 364-367 - [c6]Glenn Fung, Murat Dundar, Balaji Krishnapuram, R. Bharat Rao:
Multiple Instance Learning for Computer Aided Diagnosis. NIPS 2006: 425-432 - 2005
- [c5]Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao:
Semi-Supervised Mixture of Kernels via LPBoost Methods. ICDM 2005: 569-572 - [c4]Murat Dundar, Glenn Fung, Jinbo Bi, Sathyakama Sandilya, R. Bharat Rao:
Sparse Fisher Discriminant Analysis for Computer Aided Detection. SDM 2005: 476-480 - 2004
- [j3]Murat Dundar, David A. Landgrebe:
A cost-effective semisupervised classifier approach with kernels. IEEE Trans. Geosci. Remote. Sens. 42(1): 264-270 (2004) - [j2]Murat Dundar, David A. Landgrebe:
Toward an optimal supervised classifier for the analysis of hyperspectral data. IEEE Trans. Geosci. Remote. Sens. 42(1): 271-277 (2004) - [c3]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: 978-982 - [c2]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 - [c1]Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao:
A fast iterative algorithm for fisher discriminant using heterogeneous kernels. ICML 2004 - 2002
- [j1]Murat Dundar, David A. Landgrebe:
A model-based mixture-supervised classification approach in hyperspectral data analysis. IEEE Trans. Geosci. Remote. Sens. 40(12): 2692-2699 (2002)
Coauthor Index
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