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Zafer Aydin
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Books and Theses
- 2008
- [b1]Zafer Aydin:
Bayesian models and algoritms for protein secondary structure and beta-sheet prediction. Georgia Institute of Technology, Atlanta, GA, USA, 2008
Journal Articles
- 2024
- [j22]Sena Busra Yengec Tasdemir
, Zafer Aydin, Ebru Akay
, Serkan Dogan, Bülent Yilmaz
:
An effective colorectal polyp classification for histopathological images based on supervised contrastive learning. Comput. Biol. Medicine 172: 108267 (2024) - 2023
- [j21]Sena Busra Yengec Tasdemir
, Zafer Aydin
, Ebru Akay
, Serkan Dogan, Bülent Yilmaz
:
Improved classification of colorectal polyps on histopathological images with ensemble learning and stain normalization. Comput. Methods Programs Biomed. 232: 107441 (2023) - [j20]Yasin Görmez
, Zafer Aydin
:
IGPRED-MultiTask: A Deep Learning Model to Predict Protein Secondary Structure, Torsion Angles and Solvent Accessibility. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1104-1113 (2023) - 2022
- [j19]Yunus Emre Isik
, Yasin Görmez
, Zafer Aydin
, Burcu Bakir-Gungor:
The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Behçet's Disease. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1909-1918 (2022) - 2021
- [j18]Rukiye Nur Kaçmaz
, Bülent Yilmaz
, Zafer Aydin
:
Effect of interpolation on specular reflections in texture-based automatic colonic polyp detection. Int. J. Imaging Syst. Technol. 31(1): 327-335 (2021) - [j17]Solveig K. Sieberts
, Jennifer Schaff, Marlena Duda
, Bálint Á Pataki, Ming Sun, Phil Snyder
, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, Earl Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo
, Carlos Espino, Enrico Glaab
, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez
, Maria K. Jaakkola
, Jitendra Jonnagaddala
, Riku Klén
, Dongmei Li, Christian McDaniel, Dimitri Perrin
, Thanneer M. Perumal, Nastaran Mohammadian Rad
, Erin Rainaldi
, Stefano Sapienza
, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen
, Gloria Vergara-Diaz, Yuqian Zhang
, Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han, Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz
, Gregor Lichtner, Raquel Norel, G. P. S. Raghava
, Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan
, Daniela Brunner, Paolo Bonato
, Lara M. Mangravite
, Larsson Omberg
:
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digit. Medicine 4 (2021) - [j16]Mostafa Sabzekar
, Zafer Aydin:
A noise-aware feature selection approach for classification. Soft Comput. 25(8): 6391-6400 (2021) - 2020
- [j15]Mustafa Bicakci
, Oguzhan Ayyildiz
, Zafer Aydin
, Alper Bastürk
, Seyhan Karaçavus
, Bülent Yilmaz
:
Metabolic Imaging Based Sub-Classification of Lung Cancer. IEEE Access 8: 218470-218476 (2020) - [j14]Oguzhan Ayyildiz, Zafer Aydin, Bülent Yilmaz
, Seyhan Karaçavus, Kübra Senkaya, Semra Içer, Arzu Tasdemir, Eser Kaya:
Lung cancer subtype differentiation from positron emission tomography images. Turkish J. Electr. Eng. Comput. Sci. 28(1): 262-274 (2020) - [j13]Yasin Gormez
, Zafer Aydin
, Ramazan Karademir, Vehbi C. Gungor
:
A deep learning approach with Bayesian optimization and ensemble classifiers for detecting denial of service attacks. Int. J. Commun. Syst. 33(11) (2020) - [j12]Nuh Azginoglu
, Zafer Aydin, Mete Celik:
Structural profile matrices for predicting structural properties of proteins. J. Bioinform. Comput. Biol. 18(4): 2050022:1-2050022:20 (2020) - [j11]Sena Busra Yengec Tasdemir, Kasim Tasdemir
, Zafer Aydin
:
A review of mammographic region of interest classification. WIREs Data Mining Knowl. Discov. 10(5) (2020) - 2019
- [j10]Zafer Aydin
, Nuh Azginoglu
, Halil Ibrahim Bilgin, Mete Celik:
Developing structural profile matrices for protein secondary structure and solvent accessibility prediction. Bioinform. 35(20): 4004-4010 (2019) - 2018
- [j9]Zafer Aydin, Oguz Kaynar, Yasin Gormez
:
Dimensionality reduction for protein secondary structure and solvent accesibility prediction. J. Bioinform. Comput. Biol. 16(5): 1850020:1-1850020:16 (2018) - 2017
- [j8]Mostafa Sabzekar
, Mahmoud Naghibzadeh, Mahdie Eghdami, Zafer Aydin:
Protein β-sheet prediction using an efficient dynamic programming algorithm. Comput. Biol. Chem. 70: 142-155 (2017) - 2015
- [j7]Cigdem Eroglu Erdem
, Cigdem Turan
, Zafer Aydin:
BAUM-2: a multilingual audio-visual affective face database. Multim. Tools Appl. 74(18): 7429-7459 (2015) - 2011
- [j6]Zafer Aydin, Ajit P. Singh, Jeff A. Bilmes, William Stafford Noble:
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure. BMC Bioinform. 12: 154 (2011) - [j5]Zafer Aydin, Yucel Altunbasak, Hakan Erdogan:
Bayesian Models and Algorithms for Protein β-Sheet Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 8(2): 395-409 (2011) - 2010
- [j4]Zafer Aydin, John I. Murray, Robert H. Waterston, William Stafford Noble:
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene expression in the developing C. elegans embryo. BMC Bioinform. 11: 84 (2010) - 2007
- [j3]Zafer Aydin, Yucel Altunbasak, Hakan Erdogan:
Bayesian Protein Secondary Structure Prediction With Near-Optimal Segmentations. IEEE Trans. Signal Process. 55(7-1): 3512-3525 (2007) - 2006
- [j2]Zafer Aydin, Yucel Altunbasak, Mark Borodovsky:
Protein secondary structure prediction for a single-sequence using hidden semi-Markov models. BMC Bioinform. 7: 178 (2006) - [j1]Zafer Aydin, Yucel Altunbasak:
A signal processing application in genomic research: protein secondary structure prediction. IEEE Signal Process. Mag. 23(4): 128-131 (2006)
Conference and Workshop Papers
- 2021
- [c11]Ümit Yilmaz, Cengiz Gezer, Zafer Aydin, Vehbi Çagri Güngör:
Data Mining Techniques in Direct Marketing on Imbalanced Data using Tomek Link Combined with Random Under-sampling. ICISDM 2021: 67-73 - 2018
- [c10]Sena Busra Yengec Tasdemir, Kasim Tasdemir
, Zafer Aydin:
ROI Detection in Mammogram Images Using Wavelet-Based Haralick and HOG Features. ICMLA 2018: 105-109 - [c9]Zafer Aydin, Oguz Kaynar, Yasin Gormez:
Comparison of NR and UniClust databases for protein secondary structure prediction. SIU 2018: 1-4 - [c8]Zafer Aydin, Oguz Kaynar, Yasin Gormez, Yunus Emre Isik:
Comparison of machine learning classifiers for protein secondary structure prediction. SIU 2018: 1-4 - 2015
- [c7]Zafer Aydin, David Baker, William Stafford Noble:
Constructing Structural Profiles for Protein Torsion Angle Prediction. BIOINFORMATICS 2015: 26-35 - [c6]Zafer Aydin, David Baker, William Stafford Noble:
Template Scoring Methods for Protein Torsion Angle Prediction. BIOSTEC (Selected Papers) 2015: 206-223 - 2013
- [c5]Cigdem Turan
, Can Kansin, Sara Zhalehpour, Zafer Aydin, Cigdem Eroglu Erdem
:
A method for extraction of affective audio-visual facial clips from movies. SIU 2013: 1-4 - 2007
- [c4]Zafer Aydin, Hakan Erdogan, Yucel Altunbasak:
Protein Fold Recognition using Residue-Based Alignments of Sequence and Secondary Structure. ICASSP (1) 2007: 349-352 - 2005
- [c3]Zafer Aydin, Toygar Akgun
, Yucel Altunbasak:
A modified stack decoder for protein secondary structure prediction. ICASSP (4) 2005: 737-740 - 2004
- [c2]Zafer Aydin, Yücel Altunbasak, Mark Borodovsky:
Protein secondary structure prediction with semi Markov HMMs. ICASSP (5) 2004: 577-580 - 2002
- [c1]Ahmet Kemal Özdemir, Zafer Aydin, Orhan Arikan:
A new approach to time-frequency localized signal design. ICASSP 2002: 1229-1232
Coauthor Index
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