Zafer Aydin

Orcid: 0000-0001-7686-6298

According to our database1, Zafer Aydin authored at least 36 papers between 2002 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Network intrusion detection based on machine learning strategies: performance comparisons on imbalanced wired, wireless, and software-defined networking (SDN) network traffics.
Turkish J. Electr. Eng. Comput. Sci., 2024

An effective colorectal polyp classification for histopathological images based on supervised contrastive learning.
Comput. Biol. Medicine, 2024

2023
Improved classification of colorectal polyps on histopathological images with ensemble learning and stain normalization.
Comput. Methods Programs Biomed., April, 2023

IGPRED-MultiTask: A Deep Learning Model to Predict Protein Secondary Structure, Torsion Angles and Solvent Accessibility.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022
The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Behçet's Disease.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Camera-based wildfire smoke detection for foggy environments.
J. Electronic Imaging, 2022

2021
A noise-aware feature selection approach for classification.
Soft Comput., 2021

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.
npj Digit. Medicine, 2021

Effect of interpolation on specular reflections in texture-based automatic colonic polyp detection.
Int. J. Imaging Syst. Technol., 2021

Data Mining Techniques in Direct Marketing on Imbalanced Data using Tomek Link Combined with Random Under-sampling.
Proceedings of the ICISDM 2021: 2021 the 5th International Conference on Information System and Data Mining, Silicon Valley, CA, USA, May 27, 2021

2020
A review of mammographic region of interest classification.
WIREs Data Mining Knowl. Discov., 2020

Structural profile matrices for predicting structural properties of proteins.
J. Bioinform. Comput. Biol., 2020

A deep learning approach with Bayesian optimization and ensemble classifiers for detecting denial of service attacks.
Int. J. Commun. Syst., 2020

Lung cancer subtype differentiation from positron emission tomography images.
Turkish J. Electr. Eng. Comput. Sci., 2020

Metabolic Imaging Based Sub-Classification of Lung Cancer.
IEEE Access, 2020

2019
Developing structural profile matrices for protein secondary structure and solvent accessibility prediction.
Bioinform., 2019

2018
Dimensionality reduction for protein secondary structure and solvent accesibility prediction.
J. Bioinform. Comput. Biol., 2018

Comparison of machine learning classifiers for protein secondary structure prediction.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Comparison of NR and UniClust databases for protein secondary structure prediction.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

ROI Detection in Mammogram Images Using Wavelet-Based Haralick and HOG Features.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017
Protein β-sheet prediction using an efficient dynamic programming algorithm.
Comput. Biol. Chem., 2017

2015
BAUM-2: a multilingual audio-visual affective face database.
Multim. Tools Appl., 2015

Template Scoring Methods for Protein Torsion Angle Prediction.
Proceedings of the Biomedical Engineering Systems and Technologies, 2015

Constructing Structural Profiles for Protein Torsion Angle Prediction.
Proceedings of the BIOINFORMATICS 2015, 2015

2013
A method for extraction of affective audio-visual facial clips from movies.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

2011
Bayesian Models and Algorithms for Protein β-Sheet Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure.
BMC Bioinform., 2011

2010
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene expression in the developing <i>C. elegans</i> embryo.
BMC Bioinform., 2010

2008
Bayesian models and algoritms for protein secondary structure and beta-sheet prediction.
PhD thesis, 2008

2007
Bayesian Protein Secondary Structure Prediction With Near-Optimal Segmentations.
IEEE Trans. Signal Process., 2007

Protein Fold Recognition using Residue-Based Alignments of Sequence and Secondary Structure.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
A signal processing application in genomic research: protein secondary structure prediction.
IEEE Signal Process. Mag., 2006

Protein secondary structure prediction for a single-sequence using hidden semi-Markov models.
BMC Bioinform., 2006

2005
A modified stack decoder for protein secondary structure prediction.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Protein secondary structure prediction with semi Markov HMMs.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2002
A new approach to time-frequency localized signal design.
Proceedings of the IEEE International Conference on Acoustics, 2002


  Loading...