Murat Dundar

发表

Target detection with spatio-spectral data via concordance learning

Murat Dundar, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

Simplicity of Kmeans Versus Deepness of Deep Learning: A Case of Unsupervised Feature Learning with Limited Data

Murat Dundar, Qiang Kou, Baichuan Zhang, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes pdf

Murat Dundar, Bartek Rajwa, Ferit Akova, 2012, ICML.

A study on Bruno Taut's way of thought

Murat Dundar, 2006 .

Polyhedral classifier for target detection: a case study: colorectal cancer

Murat Dundar, Marcos Salganicoff, Matthias Wolf, 2008, ICML '08.

Joint Optimization of Cascaded Classifiers for Computer Aided Detection

Murat Dundar, Jinbo Bi, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Learning Classifiers When the Training Data Is Not IID

Murat Dundar, Jinbo Bi, R. Bharat Rao, 2007, IJCAI.

A Case Study for Massive Text Mining: K Nearest Neighbor Algorithm on PubMed data

Murat Dundar, Nhan Do, 2015 .

Toward an optimal supervised classifier for the analysis of hyperspectral data

David A. Landgrebe, Murat Dundar, D. Landgrebe, 2004, IEEE Transactions on Geoscience and Remote Sensing.

A cost-effective semisupervised classifier approach with kernels

David A. Landgrebe, Murat Dundar, D. Landgrebe, 2004, IEEE Transactions on Geoscience and Remote Sensing.

A model-based mixture-supervised classification approach in hyperspectral data analysis

David A. Landgrebe, Murat Dundar, D. Landgrebe, 2002, IEEE Trans. Geosci. Remote. Sens..

Mining Medical Images

Xiang Zhou, Murat Dundar, Jinbo Bi, 2009 .

Batch discovery of recurring rare classes toward identifying anomalous samples

Murat Dundar, Halid Ziya Yerebakan, Bartek Rajwa, 2014, KDD.

Dirichlet Process Gaussian Mixture for Active Online Name Disambiguation by Particle Filter

Murat Dundar, Vachik S. Dave, Baichuan Zhang, 2019, 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL).

A machine‐learning approach to detecting unknown bacterial serovars

Murat Dundar, Bartek Rajwa, J. Paul Robinson, 2010, Stat. Anal. Data Min..

Partially collapsed parallel Gibbs sampler for Dirichlet process mixture models

Murat Dundar, Halid Ziya Yerebakan, 2017, Pattern Recognit. Lett..

Discriminative frequent subgraph mining with optimality guarantees

Philip S. Yu, J. Paul Robinson, Murat Dundar, 2010 .

A distributed national network for label-free rapid identification of emerging pathogens

Ali M. Roumani, J. Paul Robinson, Murat Dundar, 2011, Defense + Commercial Sensing.

A non-parametric Bayesian model for joint cell clustering and cluster matching: identification of anomalous sample phenotypes with random effects

Murat Dundar, Halid Ziya Yerebakan, Bartek Rajwa, 2014, BMC Bioinformatics.

Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval

Wei Liu, Murat Dundar, Shaoting Zhang, 2015, IEEE Transactions on Medical Imaging.

Rare jarosite detection in crism imagery by non-parametric Bayesian clustering

Murat Dundar, Bethany L. Ehlmann, B. Ehlmann, 2016, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

A fast iterative algorithm for fisher discriminant using heterogeneous kernels

Murat Dundar, Jinbo Bi, Glenn Fung, 2004, ICML.

Learning with a non-exhaustive training dataset: a case study: detection of bacteria cultures using optical-scattering technology

Murat Dundar, Bartek Rajwa, J. Paul Robinson, 2009, KDD.

CAD performance analysis for pulmonary nodule detection on thin-slice MDCT scans

Murat Dundar, Jinbo Bi, Hong Shen, 2005 .

Self-Adjusting Models for Semi-supervised Learning in Partially Observed Settings

Yuan Qi, Murat Dundar, Bartek Rajwa, 2012, 2012 IEEE 12th International Conference on Data Mining.

Efficient detection of polyps in CT colonography

Murat Dundar, Pascal Cathier, Matthias Wolf, 2007, SPIE Medical Imaging.

Incorporating Spatial Contiguity into the Design of a Support Vector Machine Classifier

Murat Dundar, James Theiler, Simon Perkins, 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

Computerized classification of intraductal breast lesions using histopathological images

Metin Nafi Gürcan, Murat Dundar, Gökhan Bilgin, 2011, IEEE Transactions on Biomedical Engineering.

Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams

Murat Dundar, Mohammad Al Hasan, Baichuan Zhang, 2016, CIKM.

Training a CAD classifier with correlated data

Murat Dundar, Jinbo Bi, R. Bharat Rao, 2007, SPIE Medical Imaging.

Simplicity of Kmeans Versus Deepness of Deep Learning: A Case of Unsupervised Feature Learning with Limited Data

Murat Dundar, Qiang Kou, Baichuan Zhang, 2015, ICMLA 2015.

Morphotypic analysis and classification of bacteria and bacterial colonies using laser light-scattering, pattern recognition, and machine-learning system

J. Paul Robinson, Murat Dundar, Bartek Rajwa, 2009, Defense + Commercial Sensing.

Bayesian Zero-Shot Learning

Zeynep Akata, Murat Dundar, Sarkhan Badirli, 2019, ECCV Workshops.

Multiple-Instance Learning Algorithms for Computer-Aided Detection

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

Multiple Instance Learning for Computer Aided Diagnosis

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

Non-exhaustive Learning for Bacteria Detection

Murat Dundar, Bartek Rajwa, Ferit Akova, 2009, 2009 International Conference on Network-Based Information Systems.

Machine-Learning-Driven New Geologic Discoveries at Mars Rover Landing Sites: Jezero and NE Syrtis pdf

Murat Dundar, Bethany L. Ehlmann, Ellen K. Leask, 2019, ArXiv.

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).

The Infinite Mixture of Infinite Gaussian Mixtures

Murat Dundar, Halid Ziya Yerebakan, Bartek Rajwa, 2014, NIPS.

A Multiple Instance Learning Approach toward Optimal Classification of Pathology Slides

Metin Nafi Gürcan, Murat Dundar, Olcay Sertel, 2010, 2010 20th International Conference on Pattern Recognition.

Bayesian multiple instance learning: automatic feature selection and inductive transfer

Murat Dundar, Jinbo Bi, R. Bharat Rao, 2008, ICML '08.

Sparse Fisher Discriminant Analysis for Computer Aided Detection

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

A Two-Level Approach Towards Semantic Colon Segmentation: Removing Extra-Colonic Findings

Murat Dundar, Jinbo Bi, Le Lu, 2009, MICCAI.

Bayesian Nonparametrics for Non-exhaustive Learning pdf

Murat Dundar, Bartek Rajwa, Yicheng Cheng, 2019, ArXiv.

Digital microbiology: detection and classification of unknown bacterial pathogens using a label-free laser light scatter-sensing system

J. Paul Robinson, Murat Dundar, Bartek Rajwa, 2011, Defense + Commercial Sensing.

Partially-observed models for classifying minerals on Mars

Lin Li, Murat Dundar, Bartek Rajwa, 2013, 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

An Improved Multi-task Learning Approach with Applications in Medical Diagnosis

Murat Dundar, Jinbo Bi, R. Bharat Rao, 2008, ECML/PKDD.

Bayesian Non-Exhaustive Classification for Active Online Name Disambiguation pdf

Murat Dundar, Mohammad Al Hasan, Baichuan Zhang, 2017, ArXiv.

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

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

Fine-Grained Zero-Shot Learning with DNA as Side Information pdf

Murat Dundar, Sarkhan Badirli, George Mohler, 2021, NeurIPS.