Mehmet Kuntalp

Orcid: 0000-0002-3381-9026

According to our database1, Mehmet Kuntalp authored at least 12 papers between 2004 and 2024.

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

Timeline

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Bibliography

2024
A new method for GAN-based data augmentation for classes with distinct clusters.
Expert Syst. Appl., January, 2024

2023
Data Augmentation with GAN increases the Performance of Arrhythmia Classification for an Unbalanced Dataset.
CoRR, 2023

2022
A new imbalance-aware loss function to be used in a deep neural network for colorectal polyp segmentation.
Comput. Biol. Medicine, 2022

2020
Two-Class Fuzzy Clustering Ensemble Approach Based on a Constraint on Fuzzy Memberships.
Proceedings of the Information Management and Big Data, 2020

2018
Comparing the Performances of PCA (Principle Component Analysis) and LDA (Linear Discriminant Analysis) Transformations on PAF (Paroxysmal Atrial Fibrillation) Patient Detection.
Proceedings of the 2018 3rd International Conference on Biomedical Imaging, 2018

2014
Classification of paroxysmal atrial fibrillation patients with SD1, SD2 and CCM features.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

2009
Optimizing the performance of an MLP classifier for the automatic detection of epileptic spikes.
Expert Syst. Appl., 2009

2007
A software tool for interactive generation, representation, and systematical storage of transfer functions for 3D medical images.
Comput. Methods Programs Biomed., 2007

Combining classical HRV indices with wavelet entropy measures improves to performance in diagnosing congestive heart failure.
Comput. Biol. Medicine, 2007

A study on fuzzy C-means clustering-based systems in automatic spike detection.
Comput. Biol. Medicine, 2007

2005
Automatic detection of epileptiform events in EEG by a three-stage procedure based on artificial neural networks.
IEEE Trans. Biomed. Eng., 2005

2004
A simple and low-cost Internet-based teleconsultation system that could effectively solve the health care access problems in underserved areas of developing countries.
Comput. Methods Programs Biomed., 2004


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