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Recent Submissions

Special issue on High-Performance Computing Conference (BASARIM 2022) Kaya, Kamer; Şener, Cevat; Yenigün, Hüsnü (2023-11-01) This is an editorial for the Special Issue on the 7th High-Performance Computing Conference (BAŞARIM 2022) organized on May 11–13, 2022, at Sabanci University Altunizade Digital Campus, İstanbul.
Wine in the Cloud, or: Smart Vineyards with a Distributed "Extreme Data Database" and Supercomputing Karagöz, Pınar (2023-10-25)
Devising a Uniform Description of Underground Built Heritage Sites Karagöz, Pınar (2023-09-01)
Analysis of Vector-Network-Analyzer-Based Power Sensor Calibration Method Application Danaci, Erkan; Bayrak, Yusuf; Çetinkaya, Anıl; Arslan, Murat; Sakarya, Handan; Dogan, Aliye Kartal; Tunay, Gulsun (2023-09-01) Radio Frequency (RF) power sensor calibration is one of the essential measurements in RF and microwave metrology. For a reliable and accurate power sensor calibration, there are various methods, such as the substitution me...
Solving an industry-inspired generalization of lifelong MAPF problem including multiple delivery locations Polat, Faruk (2023-08-01)
Correlation Loss: Enforcing Correlation between Classification and Localization Kahraman, Fehmi; Oksuz, Kemal; KALKAN, SİNAN; Akbaş, Emre (2023-06-27) Object detectors are conventionally trained by a weighted sum of classification and localization losses. Recent studies (e.g., predicting IoU with an auxiliary head, Generalized Focal Loss, Rank & Sort Loss) have shown tha...
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection Demirel, Berkan; Baran, Orhun Buğra; Cinbiş, Ramazan Gökberk (2023-06-21) Few-shot object detection, the problem of modelling novel object detection categories with few training instances, is an emerging topic in the area of few-shot learning and ob- ject detection. Contemporary techniques can b...
Effect of Context on Smartphone Users' Typing Performance in the Wild Akpinar, Elgin; YILMAZ, YELİZ; Karagöz, Pınar (2023-06-10) Smartphones play a crucial role in daily activities, however, situationally-induced impairments and disabilities (SIIDs) can easily be experienced depending on the context. Previous studies explored the effect of context b...
The reusability prior: comparing deep learning models without training Polat, Aydın Göze; Alpaslan, Ferda Nur (2023-06-01) Various choices can affect the performance of deep learning models. We conjecture that differences in the number of contexts for model components during training are critical. We generalize this notion by defining the reus...
Transfer learning for drug–target interaction prediction Dalkıran, Alperen; Atakan, Ahmet; Rifaioğlu, Ahmet Süreyya; Martin, Maria J; Çetin Atalay, Rengül; Acar, Aybar Can; Doğan, Tunca; Atalay, Mehmet Volkan (2023-06-01) MotivationUtilizing AI-driven approaches for drug–target interaction (DTI) prediction require large volumes of training data which are not available for the majority of target proteins. In this study, we investigate the us...
GDPR and FAIR compliant decision support system design for triage and disease detection KARAMANLIOĞLU, ALPER; Alpaslan, Ferda Nur (2023-05-14)
MDP based real time restoration for earthquake damaged active distribution systems Arpalı, Onur Yigit; Yılmaz, Uğur Can; GÜLDÜR ERKAL, BURCU; Aydın Göl, Ebru; Göl, Murat (2023-05-01) After a disaster, presence of electricity becomes even more crucial compared to its role in daily life. In this paper, an online decision support method is developed to restore medium voltage active distribution systems af...
Augmented Paths and Reodesics for Topologically-Stable Matching Sahillioğlu, Yusuf; Horsman, Devin (2023-04-01) We propose a fully-automatic method that computes from scratch pointto-point dense correspondences between isometric shapes under topological noise. While relying on pairwise distance preservation constraints is common and...
A Data Transformation Methodology to Create Findable, Accessible, Interoperable, and Reusable Health Data: Software Design, Development, and Evaluation Study Sınacı, Ali Anıl; Gencturk, Mert; Teoman, Huseyin Alper; Laleci Erturkmen, Gokce Banu; Alvarez-Romero, Celia; Martinez-Garcia, Alicia; Poblador-Plou, Beatriz; Carmona-Pírez, Jonás; Löbe, Matthias; Parra-Calderon, Carlos Luis (2023-03-08) BACKGROUND: Sharing health data is challenging because of several technical, ethical, and regulatory issues. The Findable, Accessible, Interoperable, and Reusable (FAIR) guiding principles have been conceptualized to enabl...
Trust-aware location recommendation in location-based social networks: A graph-based approach Canturk, Deniz; Karagöz, Pınar; Kim, Sang-Wook; Toroslu, İsmail Hakkı (2023-03-01) © 2022 Elsevier LtdWith the increase in the use of mobile devices having location-related capabilities, the use of Location-Based Social Networks (LBSN) has also increased, allowing users to share location-embedded informa...
FSOLAP: A fuzzy logic-based spatial OLAP framework for effective predictive analytics Keskin, Sinan; Yazıcı, Adnan (2023-03-01) Nowadays, with the rise in sensor technology, the amount of spatial and temporal data increases day by day. Fast, effective, and accurate analysis and prediction of collected data have become more essential than ever. Spat...
ProFAB-open protein functional annotation benchmark Ozdilek, A. Samet; Atakan, Ahmet; Ozsari, Goekhan; Acar, Aybar; Atalay, Mustafa Ümit; DOĞAN, TUNCA; RİFAİOĞLU, AHMET SÜREYYA (2023-02-01) As the number of protein sequences increases in biological databases, computational methods are required to provide accurate functional annotation with high coverage. Although several machine learning methods have been pro...
Uphill resampling for particle filter and its implementation on graphics processing unit Dülger, Özcan; Oğuztüzün, Mehmet Halit S.; Demirekler, Mübeccel (2023-02-01) We introduce a new resampling method, named Uphill, that is free from numerical instability and suitable for parallel implementation on graphics processing unit (GPU). Common resampling algorithms such as Systematic suffer...
Designing Efficient and Lightweight Deep Learning Models for Healthcare Analysis Baltabay, Mereke; Yazıcı, Adnan; Sterling, Mark; Ever, Enver (2023-01-01) The application of classification and prediction algorithms in healthcare can facilitate the detection of specific vital signs, which can be used to treat or prevent disease. In this study, a new framework based on deep le...
Shoulder surfing resistant graphical password schema: Randomized Pass Points (RPP) Bostan, Hakan; Bostan, Atila (2023-01-01) Shoulder-surfing attacks are pervading in today’s digital environment. With the widespread usage of mobile devices in public and uncontrolled settings, intentional or unintentional observation of user authentication proces...

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