Zafer Aydin
Orcid: 0000-0001-7686-6298
According to our database1,
Zafer Aydin
authored at least 36 papers
between 2002 and 2024.
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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
J. Electronic Imaging, 2022
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
WIREs Data Mining Knowl. Discov., 2020
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
Turkish J. Electr. Eng. Comput. Sci., 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
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
2017
Comput. Biol. Chem., 2017
2015
Multim. Tools Appl., 2015
Proceedings of the Biomedical Engineering Systems and Technologies, 2015
Constructing Structural Profiles for Protein Torsion Angle Prediction.
Proceedings of the BIOINFORMATICS 2015, 2015
2013
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013
2011
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
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
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
2002
Proceedings of the IEEE International Conference on Acoustics, 2002