default search action
Zafer Aydin
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j24]Sena Busra Yengec Tasdemir
, Zafer Aydin, Ebru Akay
An effective colorectal polyp classification for histopathological images based on supervised contrastive learning. Comput. Biol. Medicine 172: 108267 (2024) - [j23]Hilal Hacilar, Zafer Aydin, Vehbi Çagri Güngör:
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. 32(4): 623-640 (2024) - 2023
- [j22]Sena Busra Yengec Tasdemir
Improved classification of colorectal polyps on histopathological images with ensemble learning and stain normalization. Comput. Methods Programs Biomed. 232: 107441 (2023) - [j21]Yasin Görmez
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
- [j20]Merve Tas, Yusuf Tas, Oguzhan Balki, Zafer Aydin, Kasim Tasdemir:
Camera-based wildfire smoke detection for foggy environments. J. Electronic Imaging 31(5) (2022) - [j19]Yunus Emre Isik
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
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
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
A noise-aware feature selection approach for classification. Soft Comput. 25(8): 6391-6400 (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 - 2020
- [j15]Mustafa Bicakci
Metabolic Imaging Based Sub-Classification of Lung Cancer. IEEE Access 8: 218470-218476 (2020) - [j14]Oguzhan Ayyildiz, Zafer Aydin, Bülent Yilmaz
Lung cancer subtype differentiation from positron emission tomography images. Turkish J. Electr. Eng. Comput. Sci. 28(1): 262-274 (2020) - [j13]Yasin Gormez
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
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
A review of mammographic region of interest classification. WIREs Data Mining Knowl. Discov. 10(5) (2020)
2010 – 2019
- 2019
- [j10]Zafer Aydin
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) - [c10]Sena Busra Yengec Tasdemir, Kasim Tasdemir
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 - 2017
- [j8]Mostafa Sabzekar
Protein β-sheet prediction using an efficient dynamic programming algorithm. Comput. Biol. Chem. 70: 142-155 (2017) - 2015
- [j7]Cigdem Eroglu Erdem
BAUM-2: a multilingual audio-visual affective face database. Multim. Tools Appl. 74(18): 7429-7459 (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
A method for extraction of affective audio-visual facial clips from movies. SIU 2013: 1-4 - 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)
2000 – 2009
- 2008
- [b1]Zafer Aydin:
Bayesian models and algoritms for protein secondary structure and beta-sheet prediction. Georgia Institute of Technology, Atlanta, GA, USA, 2008 - 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) - [c4]Zafer Aydin, Hakan Erdogan, Yucel Altunbasak:
Protein Fold Recognition using Residue-Based Alignments of Sequence and Secondary Structure. ICASSP (1) 2007: 349-352 - 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) - 2005
- [c3]Zafer Aydin, Toygar Akgun
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-30 01:12 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: