Baha Sen

Orcid: 0000-0003-3577-2548

According to our database1, Baha Sen authored at least 24 papers between 2006 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
New Optimized Deep Learning Application for COVID-19 Detection in Chest X-ray Images.
Symmetry, 2022

Fusing Census and MC-CNN Cost Volumes for Stereo Matching.
Balt. J. Mod. Comput., 2022

2021
Performance Evaluation of Semi-Global Approaches for the Dense Image Matching of Stereo Satellite Images.
Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

2018
An Automated Grading and Diagnosis System for Evaluation of Dry Eye Syndrome.
J. Medical Syst., 2018

2017
Assessing the importance of features for detection of hard exudates in retinal images.
Turkish J. Electr. Eng. Comput. Sci., 2017

Segmentation of blood vessels in 2D retinal images with graphical processing units.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

2016
A Novel Method for Automated Diagnosis of Epilepsy Using Complex-Valued Classifiers.
IEEE J. Biomed. Health Informatics, 2016

Sparsity-Driven Despeckling for SAR Images.
IEEE Geosci. Remote. Sens. Lett., 2016

Automatic Detection of Optic Disc in Retinal Image by Using Keypoint Detection, Texture Analysis, and Visual Dictionary Techniques.
Comput. Math. Methods Medicine, 2016

Sparsity-driven despeckling method with low memory usage.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Total variation based 3D skull segmentation.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Automatic segmentation of region of interest for dry eye disease diagnosis system.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

2015
Rapid Automated Classification of Anesthetic Depth Levels using GPU Based Parallelization of Neural Networks.
J. Medical Syst., 2015

Early-exit optimization using mixed norm despeckling for SAR images.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Detection of non-coding RNA's with optimized support vector machines.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Analysis of Demographic Characteristics Creating Coronary Artery Disease Susceptibility Using Random Forests Classifier.
Proceedings of the 2015 International Conference on Soft Computing and Software Engineering, 2015

A novel hybrid method for determining the depth of anesthesia level: Combining ReliefF feature selection and random forest algorithm (ReliefF+RF).
Proceedings of the International Symposium on Innovations in Intelligent SysTems and Applications, 2015

A comparison of different classification algorithms for determining the depth of anesthesia level on a new set of attributes.
Proceedings of the International Symposium on Innovations in Intelligent SysTems and Applications, 2015

2014
A Comparative Study on Classification of Sleep Stage Based on EEG Signals Using Feature Selection and Classification Algorithms.
J. Medical Syst., 2014

Fast feature preserving despeckling.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Scattered data estimation on medical images for cranioplasty applications.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

2012
Predicting and analyzing secondary education placement-test scores: A data mining approach.
Expert Syst. Appl., 2012

2009
Auto City: A System for Generating 3D Virtual Cities for Simulation Systems on GIS Maps.
Intell. Autom. Soft Comput., 2009

2006
Üç boyutlu sanal şehirler için zeki bir platformun sayısal coğrafik haritalar üzerinde geliştirilmesi (Developing an intelligent platform for three dimensional virtual cities on digital geographic maps)
PhD thesis, 2006


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