Kurum Yazarı "Aydin, Zafer" Fakülteler İçin Listeleme
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BAUM-2: a multilingual audio-visual affective face database
Eroglu Erdem, Cigdem; Turan, Cigdem; Aydin, Zafer (Kluwer Academic Publishers(SpringerLink), 2015)Access to audio-visual databases, which contain enough variety and are richly annotated is essential to assess the performance of algorithms in affective computing applications, which require emotion recognition from face ... -
Comparative analysis of machine learning approaches for predicting respiratory virus infection and symptom severity
Aydin, Zafer; Isik, Yunus Emre (PEERJ INC, 2023)Respiratory diseases are among the major health problems causing a burden on hospitals. Diagnosis of infection and rapid prediction of severity without time-consuming clinical tests could be beneficial in preventing the ... -
Comparison of Machine Learning Classifiers for Protein Secondary Structure Prediction
Aydin, Zafer; Kaynar, Oguz; Gormez, Yasin; Isik, Yunus Emre (IEEE, 2018)Proteinlerin üç boyutlu yapılarının tahmin edilmesi teorik kimya ve biyoenformatik için önemli problemlerden biridir. Protein yapı tahmininin en önemli aşamalarından biri ise ikincil yapı tahminidir. Protein veritabanlarındaki ... -
Comparison of NR and UniClust Databases for Protein Secondary Structure Prediction
Aydin, Zafer; Kaynar, Oguz; Gormez, Yasin (IEEE, 2018)Proteinlerin üç boyutlu yapılarının tahmin edilmesi teorik kimya ve biyoenformatik için önemli problemlerden biridir. Üç boyutlu yapı tahminin en önemli aşamalarından biri ise ikincil yapı tahminidir. İkincil yapı ... -
Constructing structural profiles for protein torsion angle prediction
Aydin, Zafer; Baker, David; Noble, William Stafford (SciTePress, 2015)Structural frequency profiles provide important constraints on structural aspects of a protein and is receiving a growing interest in the structure prediction community. In this paper, we introduce new techniques for scoring ... -
A Continuously Benchmarked and Crowdsourced Challenge for Rapid Development and Evaluation of Models to Predict COVID-19 Diagnosis and Hospitalization
Yan, Yao; Schaffter, Thomas; Bergquist, Timothy; Yu, Thomas; Prosser, Justin; Aydin, Zafer; Jabeer, Amhar; Brugere, Ivan; Gao, Jifan; Chen, Guanhua; Causey, Jason; Yao, Yuxin; Bryson, Kevin; Long, Dustin R.; Jarvik, Jeffrey G.; Lee, Christoph, I; Wilcox, Adam; Guinney, Justin; Mooney, Sean (AMER MEDICAL ASSOC330 N WABASH AVE, STE 39300, CHICAGO, IL 60611-5885, 2021)IMPORTANCE Machine learning could be used to predict the likelihood of diagnosis and severity of illness. Lack of COVID-19 patient data has hindered the data science community in developing models to aid in the response ... -
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge
Aydin, Zafer; Sieberts, Solveig K.; Schaff, Jennifer; Duda, Marlena; Pataki, Balint Armin; Sun, Ming; Snyder, Phil; Daneault, Jean-Francois; Parisi, Federico; Costante, Gianluca; Rubin, Udi; Banda, Peter; Chae, Yooree; Chaibub Neto, Elias; Dorsey, E. Ray; Chen, Aipeng; Elo, Laura L.; Espino, Carlos; Glaab, Enrico; Goan, Ethan; Golabchi, Fatemeh Noushin; Gormez, Yasin; Jaakkola, Maria K.; Jonnagaddala, Jitendra; Klen, Riku; Li, Dongmei; McDaniel, Christian; Perrin, Dimitri; Perumal, Thanneer M.; Rad, Nastaran Mohammadian; Rainaldi, Erin; Sapienza, Stefano; Schwab, Patrick; Shokhirev, Nikolai; Venalainen, Mikko S.; Vergara-Diaz, Gloria; Zhang, Yuqian; Wang, Yuanjia; Guan, Yuanfang; Brunner, Daniela; Bonato, Paolo; Mangravite, Lara M.; Omberg, Larsson (NATURE RESEARCHHEIDELBERGER PLATZ 3, BERLIN 14197, GERMANY, 2021)Consumer wearables and sensors are a rich source of data about patients' daily disease and symptom burden, particularly in the case of movement disorders like Parkinson's disease (PD). However, interpreting these complex ... -
Data Mining Techniques in Direct Marketing on Imbalanced Data using Tomek Link Combined with Random Under-sampling
Ümit Yilmaz; Zafer Aydin; V. Çağri Güngör; Cengiz Gezer (Association for Computing Machinery, 2021)Determining the potential customers is very important in direct marketing. Data mining techniques are one of the most important methods for companies to determine potential customers. However, since the number of potential ... -
A Deep Ensemble Approach for Long-Term Traffic Flow Prediction
Cini, Nevin; Aydin, Zafer (SPRINGER, 2024)In the last 50 years, with the growth of cities and increase in the number of vehicles and mobility, traffic has become troublesome. As a result, traffic flow prediction started to attract attention as an important research ... -
Design of a Tri band 5-Fingers Shaped Microstrip Patch Antenna with an Adjustable Resistor
Aoad, Ashrf; Aydin, Zafer; Korkmaz, Erdal (IEEE, 2014)This paper presents a tri band 5-fingers shaped microstrip patch antenna, which resonates initially at dual band of 3.2 GHz and 5.2 GHz frequencies for VSWR < 2. The antenna is modified by adding an adjustable resistor ... -
The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Behçet's Disease
Isik, Yunus EMRE; Gormez, Yasin; Aydin, Zafer; Bakir-Gungor, Burcu (Institute of Electrical and Electronics Engineers Inc., 2021)Behçet's Disease (BD) is a multi-system inflammatory disorder in which the etiology remains unclear. The most probable hypothesis is that genetic tendency and environmental factors play roles in the development of BD. In ... -
Development of Knowledge Based Response Correction for a Reconfigurable N-Shaped Microstrip Antenna Design
Aoad, Ashrf; Simsek, Murat; Aydin, Zafer (IEEE, 2015)This study presents the use of prior knowledge of inverse artificial neural network (ANN) to model and optimize a reconfigurable N-shaped microstrip antenna. Three accurate prior knowledge inverse ANNs with large amount ... -
An effective colorectal polyp classification for histopathological images based on supervised contrastive learning
Yengec-Tasdemir, Sena Busra; Aydin, Zafer; Akay, Ebru; Dogan, Serkan; Yilmaz, Bulent (ELSEVIER, 2024)Early detection of colon adenomatous polyps is pivotal in reducing colon cancer risk. In this context, accurately distinguishing between adenomatous polyp subtypes, especially tubular and tubulovillous, from hyperplastic ... -
IGPRED-MultiTask: A Deep Learning Model to Predict Protein Secondary Structure, Torsion Angles and Solvent Accessibility
Gormez, Yasin; Aydin, Zafer (IEEE COMPUTER SOC, 2023)Protein secondary structure, solvent accessibility and torsion angle predictions are preliminary steps to predict 3D structure of a protein. Deep learning approaches have achieved significant improvements in predicting ... -
IGPRED: Combination of convolutional neural and graph convolutional networks for protein secondary structure prediction
Gormez, Yasin; Sabzekar, Mostafa; Aydin, Zafer (WILEY111 RIVER ST, HOBOKEN 07030-5774, NJ, 2021)There is a close relationship between the tertiary structure and the function of a protein. One of the important steps to determine the tertiary structure is protein secondary structure prediction (PSSP). For this reason, ... -
Improved classification of colorectal polyps on histopathological images with ensemble learning and stain normalization
Yengec-Tasdemir, Sena Busra; Aydin, Zafer; Akay, Ebru; Dogan, Serkan; Yilmaz, Bulent (ELSEVIER IRELAND, 2023)Background and Objective: Early detection of colon adenomatous polyps is critically important because correct detection of it significantly reduces the potential of developing colon cancers in the future. The key challenge ... -
Knowledge based response correction method for design of reconfigurable N-shaped microstrip patch antenna using inverse ANNs
Aoad, Ashrf; Simsek, Murat; Aydin, Zafer (WILEY, 2017)Artificial neural networks (ANNs) have been often used for engineering design problems. In this work, an inverse model of a reconfigurable N-shaped microstrip patch antenna which is formed by ANN is considered to find ... -
A noise-aware feature selection approach for classification
Sabzekar, Mostafa (SPRINGERONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, NY 10004, UNITED STATES, 2021)A noise-aware version of support vector machines is utilized for feature selection in this paper. Combining this method and sequential backward search (SBS), a new algorithm for removing irrelevant features is proposed. ... -
A Novel Feature Design and Stacking Approach for Non-Technical Electricity Loss Detection
Aydin, Zafer; Gungor, Vehbi Cagri (Institute of Electrical and Electronics Engineers Inc., 2018)Non-technical electricity losses continue to jeopardize economic and social well-being of many countries. In this work, we develop machine learning classifiers that can identify anomalous electricity consumption in Turkey. ... -
Open Source Slurm Computer Cluster System Design and a Sample Application
Azginoglu, Nuh; Atasever, Mehmet Umt; Aydin, Zafer; Celik, Mete; Erbay, Hasan (IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)Cluster computing combines the resources of multiple computers as they act like a single high-performance computer. In this study, a computer cluster consisting of Lustre distributed file system with one cluster server ...