Murat Dundar

According to our database1, Murat Dundar authored at least 45 papers between 2002 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2021
Fine-Grained Zero-Shot Learning with DNA as Side Information.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Open Set Authorship Attribution Toward Demystifying Victorian Periodicals.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Trustworthy Explainability Acceptance: A New Metric to Measure the Trustworthiness of Interpretable AI Medical Diagnostic Systems.
Proceedings of the Complex, Intelligent and Software Intensive Systems, 2021

2020
Bayesian Zero-Shot Learning.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019
Machine-Learning-Driven New Geologic Discoveries at Mars Rover Landing Sites: Jezero and NE Syrtis.
CoRR, 2019

Bayesian Nonparametrics for Non-exhaustive Learning.
CoRR, 2019

Dirichlet Process Gaussian Mixture for Active Online Name Disambiguation by Particle Filter.
Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries, 2019

2017
Automated Assessment of Disease Progression in Acute Myeloid Leukemia by Probabilistic Analysis of Flow Cytometry Data.
IEEE Trans. Biomed. Eng., 2017

Partially collapsed parallel Gibbs sampler for Dirichlet process mixture models.
Pattern Recognit. Lett., 2017

Bayesian Non-Exhaustive Classification for Active Online Name Disambiguation.
CoRR, 2017

2016
Rare jarosite detection in crism imagery by non-parametric Bayesian clustering.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval.
IEEE Trans. Medical Imaging, 2015

Simplicity of Kmeans Versus Deepness of Deep Learning: A Case of Unsupervised Feature Learning with Limited Data.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014
A Non-parametric Bayesian Model for Joint Cell Clustering and Cluster Matching: Identification of Anomalous Sample Phenotypes with Random Effects.
BMC Bioinform., 2014

The Infinite Mixture of Infinite Gaussian Mixtures.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Batch discovery of recurring rare classes toward identifying anomalous samples.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Partially-observed models for classifying minerals on Mars.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

2012
Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes.
Proceedings of the 29th International Conference on Machine Learning, 2012

Self-Adjusting Models for Semi-supervised Learning in Partially Observed Settings.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011
Computerized Classification of Intraductal Breast Lesions Using Histopathological Images.
IEEE Trans. Biomed. Eng., 2011

2010
A machine-learning approach to detecting unknown bacterial serovars.
Stat. Anal. Data Min., 2010

A Multiple Instance Learning Approach toward Optimal Classification of Pathology Slides.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Non-exhaustive Learning for Bacteria Detection.
Proceedings of the NBiS 2009, 2009

A Two-Level Approach Towards Semantic Colon Segmentation: Removing Extra-Colonic Findings.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Learning with a non-exhaustive training dataset: a case study: detection of bacteria cultures using optical-scattering technology.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Target Detection with Spatio-spectral Data via Concordance Learning.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

2008
Multiple-Instance Learning Algorithms for Computer-Aided Detection.
IEEE Trans. Biomed. Eng., 2008

An Improved Multi-task Learning Approach with Applications in Medical Diagnosis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Bayesian multiple instance learning: automatic feature selection and inductive transfer.
Proceedings of the Machine Learning, 2008

Polyhedral classifier for target detection: a case study: colorectal cancer.
Proceedings of the Machine Learning, 2008

2007
Training a CAD classifier with correlated data.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

Efficient detection of polyps in CT colonography.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

Learning Classifiers When the Training Data Is Not IID.
Proceedings of the IJCAI 2007, 2007

Joint Optimization of Cascaded Classifiers for Computer Aided Detection.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Multiple Instance Learning for Computer Aided Diagnosis.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Incorporating Spatial Contiguity into the Design of a Support Vector Machine Classifier.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

2005
Sparse Fisher Discriminant Analysis for Computer Aided Detection.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Semi-Supervised Mixture of Kernels via LPBoost Methods.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004
Toward an optimal supervised classifier for the analysis of hyperspectral data.
IEEE Trans. Geosci. Remote. Sens., 2004

A cost-effective semisupervised classifier approach with kernels.
IEEE Trans. Geosci. Remote. Sens., 2004

A fast iterative algorithm for fisher discriminant using heterogeneous kernels.
Proceedings of the Machine Learning, 2004

A methodology for training and validating a CAD system and potential pitfalls.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004

CAD for polyp detection: an invaluable tool to meet the increasing need for colon-cancer screening.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004

2002
A model-based mixture-supervised classification approach in hyperspectral data analysis.
IEEE Trans. Geosci. Remote. Sens., 2002


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