Murat Dundar - RankMe

52 papers A* 11A 2B 1C 2Misc 1Journal 20Unranked 15

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	A novel statistical methodology for quantifying the spatial arrangements of axons in peripheral nerves. CoRR 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
2022	J	`jnl`	IM: An R-Package for Computation of Image Moments and Moment Invariants. CoRR Allison Irvine, Tan Dang, Murat Dundar, Bartek Rajwa
2021	A*	`conf`	Fine-Grained Zero-Shot Learning with DNA as Side Information. NeurIPS Sarkhan Badirli, Zeynep Akata, George O. Mohler, Christine Picard, Murat Dundar
2021	J	`jnl`	Fine-Grained Zero-Shot Learning with DNA as Side Information. CoRR Sarkhan Badirli, Zeynep Akata, George O. Mohler, Christine Picard, Murat Dundar
2021	—	`conf`	Open Set Authorship Attribution Toward Demystifying Victorian Periodicals. ICDAR (4) Sarkhan Badirli, Mary Borgo Ton, Abdulmecit Gungor, Murat Dundar
2021	Misc	`conf`	Trustworthy Explainability Acceptance: A New Metric to Measure the Trustworthiness of Interpretable AI Medical Diagnostic Systems. CISIS Davinder Kaur, Suleyman Uslu, Arjan Durresi, Sunil Badve, Murat Dundar
2020	—	`conf`	Bayesian Zero-Shot Learning. ECCV Workshops (1) Sarkhan Badirli, Zeynep Akata, Murat Dundar
2019	J	`jnl`	Bayesian Nonparametrics for Non-exhaustive Learning. CoRR Yicheng Cheng, Bartek Rajwa, Murat Dundar
2019	J	`jnl`	Bayesian Zero-Shot Learning. CoRR Sarkhan Badirli, Zeynep Akata, Murat Dundar
2019	—	`conf`	Dirichlet Process Gaussian Mixture for Active Online Name Disambiguation by Particle Filter. JCDL Baichuan Zhang, Murat Dundar, Vachik S. Dave, Mohammad Al Hasan
2019	J	`jnl`	Machine-Learning-Driven New Geologic Discoveries at Mars Rover Landing Sites: Jezero and NE Syrtis. CoRR Murat Dundar, Bethany L. Ehlmann, Ellen K. Leask
2019	J	`jnl`	Open Set Authorship Attribution toward Demystifying Victorian Periodicals. CoRR Sarkhan Badirli, Mary Borgo Ton, Abdulmecit Gungor, Murat Dundar
2017	J	`jnl`	Automated Assessment of Disease Progression in Acute Myeloid Leukemia by Probabilistic Analysis of Flow Cytometry Data. IEEE Trans. Biomed. Eng. Bartek Rajwa, Paul K. Wallace, Elizabeth A. Griffiths, Murat Dundar
2017	J	`jnl`	Bayesian Non-Exhaustive Classification for Active Online Name Disambiguation. CoRR Baichuan Zhang, Murat Dundar, Mohammad Al Hasan
2017	J	`jnl`	Partially collapsed parallel Gibbs sampler for Dirichlet process mixture models. Pattern Recognit. Lett. Halid Ziya Yerebakan, Murat Dundar
2016	A	`conf`	Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams. CIKM Baichuan Zhang, Murat Dundar, Mohammad Al Hasan
2016	J	`jnl`	Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams. CoRR Baichuan Zhang, Murat Dundar, Mohammad Al Hasan
2016	—	`conf`	Rare jarosite detection in crism imagery by non-parametric Bayesian clustering. WHISPERS Murat Dundar, Bethany L. Ehlmann
2015	C	`conf`	Simplicity of Kmeans Versus Deepness of Deep Learning: A Case of Unsupervised Feature Learning with Limited Data. ICMLA Murat Dundar, Qiang Kou, Baichuan Zhang, Yicheng He, Bartek Rajwa
2015	J	`jnl`	Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval. IEEE Trans. Medical Imaging Xiaofan Zhang, Wei Liu, Murat Dundar, Sunil Badve, Shaoting Zhang
2014	J	`jnl`	A Non-parametric Bayesian Model for Joint Cell Clustering and Cluster Matching: Identification of Anomalous Sample Phenotypes with Random Effects. BMC Bioinform. Murat Dundar, Ferit Akova, Halid Ziya Yerebakan, Bartek Rajwa
2014	A*	`conf`	Batch discovery of recurring rare classes toward identifying anomalous samples. KDD Murat Dundar, Halid Ziya Yerebakan, Bartek Rajwa
2014	—	`conf`	The Infinite Mixture of Infinite Gaussian Mixtures. NIPS Halid Ziya Yerebakan, Bartek Rajwa, Murat Dundar
2013	—	`conf`	Partially-observed models for classifying minerals on Mars. WHISPERS Murat Dundar, Lin Li, Bartek Rajwa
2012	J	`jnl`	Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes CoRR Murat Dundar, Ferit Akova, Yuan (Alan) Qi, Bartek Rajwa
2012	A*	`conf`	Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes. ICML Murat Dundar, Ferit Akova, Yuan (Alan) Qi, Bartek Rajwa
2012	A*	`conf`	Self-Adjusting Models for Semi-supervised Learning in Partially Observed Settings. ICDM Ferit Akova, Murat Dundar, Yuan (Alan) Qi, Bartek Rajwa
2011	J	`jnl`	Computerized Classification of Intraductal Breast Lesions Using Histopathological Images. IEEE Trans. Biomed. Eng. Murat Dundar, Sunil Badve, Gökhan Bilgin, Vikas C. Raykar, Rohit K. Jain, Olcay Sertel, Metin N. Gurcan
2010	B	`conf`	A Multiple Instance Learning Approach toward Optimal Classification of Pathology Slides. ICPR Murat Dundar, Sunil Badve, Vikas C. Raykar, Rohit K. Jain, Olcay Sertel, Metin N. Gurcan
2010	J	`jnl`	A machine-learning approach to detecting unknown bacterial serovars. Stat. Anal. Data Min. Ferit Akova, Murat Dundar, V. Jo Davisson, E. Daniel Hirleman, Arun K. Bhunia, J. Paul Robinson, Bartek Rajwa
2009	—	`conf`	A Two-Level Approach Towards Semantic Colon Segmentation: Removing Extra-Colonic Findings. MICCAI (1) Le Lu, Matthias Wolf, Jianming Liang, Murat Dundar, Jinbo Bi, Marcos Salganicoff
2009	A*	`conf`	Learning with a non-exhaustive training dataset: a case study: detection of bacteria cultures using optical-scattering technology. KDD Murat Dundar, E. Daniel Hirleman, Arun K. Bhunia, J. Paul Robinson, Bartek Rajwa
2009	—	`conf`	Non-exhaustive Learning for Bacteria Detection. NBiS Ferit Akova, E. Daniel Hirleman, Arun K. Bhunia, Bartek Rajwa, Murat Dundar
2009	—	`conf`	Target Detection with Spatio-spectral Data via Concordance Learning. IGARSS (2) Murat Dundar
2008	—	`conf`	An Improved Multi-task Learning Approach with Applications in Medical Diagnosis. ECML/PKDD (1) Jinbo Bi, Tao Xiong, Shipeng Yu, Murat Dundar, R. Bharat Rao
2008	A*	`conf`	Bayesian multiple instance learning: automatic feature selection and inductive transfer. ICML Vikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Murat Dundar, R. Bharat Rao
2008	J	`jnl`	Multiple-Instance Learning Algorithms for Computer-Aided Detection. IEEE Trans. Biomed. Eng. Murat Dundar, Glenn Fung, Balaji Krishnapuram, R. Bharat Rao
2008	A*	`conf`	Polyhedral classifier for target detection: a case study: colorectal cancer. ICML Murat Dundar, Matthias Wolf, Sarang Lakare, Marcos Salganicoff, Vikas C. Raykar
2007	—	`conf`	Efficient detection of polyps in CT colonography. Computer-Aided Diagnosis Matthias Wolf, Pascal Cathier, Sarang Lakare, Murat Dundar, Luca Bogoni
2007	A*	`conf`	Joint Optimization of Cascaded Classifiers for Computer Aided Detection. CVPR Murat Dundar, Jinbo Bi
2007	A*	`conf`	Learning Classifiers When the Training Data Is Not IID. IJCAI Murat Dundar, Balaji Krishnapuram, Jinbo Bi, R. Bharat Rao
2007	—	`conf`	Training a CAD classifier with correlated data. Computer-Aided Diagnosis Murat Dundar, Balaji Krishnapuram, Matthias Wolf, Sarang Lakare, Luca Bogoni, Jinbo Bi, R. Bharat Rao
2006	C	`conf`	Incorporating Spatial Contiguity into the Design of a Support Vector Machine Classifier. IGARSS Murat Dundar, James Theiler, Simon Perkins
2006	—	`conf`	Multiple Instance Learning for Computer Aided Diagnosis. NIPS Glenn Fung, Murat Dundar, Balaji Krishnapuram, R. Bharat Rao
2005	A*	`conf`	Semi-Supervised Mixture of Kernels via LPBoost Methods. ICDM Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao
2005	A	`conf`	Sparse Fisher Discriminant Analysis for Computer Aided Detection. SDM Murat Dundar, Glenn Fung, Jinbo Bi, Sathyakama Sandilya, R. Bharat Rao
2004	J	`jnl`	A cost-effective semisupervised classifier approach with kernels. IEEE Trans. Geosci. Remote. Sens. Murat Dundar, David A. Landgrebe
2004	A*	`conf`	A fast iterative algorithm for fisher discriminant using heterogeneous kernels. ICML Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao
2004	—	`conf`	A methodology for training and validating a CAD system and potential pitfalls. CARS Murat Dundar, Glenn Fung, Luca Bogoni, Michael Macari, A. Megibow, R. Bharat Rao
2004	—	`conf`	CAD for polyp detection: an invaluable tool to meet the increasing need for colon-cancer screening. CARS 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
2004	J	`jnl`	Toward an optimal supervised classifier for the analysis of hyperspectral data. IEEE Trans. Geosci. Remote. Sens. Murat Dundar, David A. Landgrebe
2002	J	`jnl`	A model-based mixture-supervised classification approach in hyperspectral data analysis. IEEE Trans. Geosci. Remote. Sens. Murat Dundar, David A. Landgrebe