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Privacy-preserving federated machine learning on FAIR health data: A real-world application Sınacı, Ali Anıl; Gencturk, Mert; Alvarez-Romero, Celia; Laleci Erturkmen, Gokce Banu; Martinez-Garcia, Alicia; Escalona-Cuaresma, María José; Parra-Calderon, Carlos Luis (2024-12-01) Objective: This paper introduces a privacy-preserving federated machine learning (ML) architecture built upon Findable, Accessible, Interoperable, and Reusable (FAIR) health data. It aims to devise an architecture for exec...
Diversity-aware strategies for static index pruning Yigit-Sert, Sevgi; Altıngövde, İsmail Sengör; Ulusoy, Özgür (2024-09-01) Static index pruning aims to remove redundant parts of an index to reduce the file size and query processing time. In this paper, we focus on the impact of index pruning on the topical diversity of query results obtained o...
BF-BigGraph: An efficient subgraph isomorphism approach using machine learning for big graph databases Yazıcı, Adnan; Taşkomaz, Ezgi (2024-09-01) Graph databases are flexible NoSQL databases used to efficiently store and query complex and big data. One of the most difficult problems in graph databases is the problem of subgraph isomorphism, which involves finding a ...
Potential-based reward shaping using state–space segmentation for efficiency in reinforcement learning Bal, Melis İlayda; Aydın, Hüseyin; İyigün, Cem; Polat, Faruk (2024-08-01) Reinforcement Learning (RL) algorithms encounter slow learning in environments with sparse explicit reward structures due to the limited feedback available on the agent's behavior. This problem is exacerbated particularly ...
Path guiding for wavefront path tracing: A memory efficient approach for GPU path tracers Yalçıner, Bora; Akyüz, Ahmet Oğuz (2024-06-01) We propose a path-guiding algorithm to be incorporated into the wavefront style of path tracers (WFPTs). As WFPTs are primarily implemented on graphics processing units (GPUs), the proposed method aims to leverage the capa...
Field teams coordination for earthquake-damaged distribution system energization Işık, İlker; Aydın Göl, Ebru (2024-05-01) The re-energization of electrical distribution systems in a post-disaster scenario is of grave importance as most modern infrastructure systems rely heavily on the presence of electricity. This paper introduces a method to...
Design tactics for tailoring transformer architectures to cybersecurity challenges Avcı, Çiğdem; Tekinerdogan, Bedir; Catal, Cagatay (2024-04-24) In the rapidly evolving landscape of cyber threats, effective defense strategies are crucial for safeguarding sensitive information and critical systems. Deep learning methods, notably the Transformer architecture, have sh...
Targeted marketing on social media: utilizing text analysis to create personalized landing pages Çetinkaya, Yusuf Mucahit; Külah, Emre; Toroslu, İsmail Hakkı; Davulcu, Hasan (2024-04-01) The widespread use of social media has rendered it a critical arena for online marketing strategies. To optimize conversion rates, the landing pages must effectively respond to a visitor segment’s pain points that they nee...
SegIns: A simple extension to instance discrimination task for better localization learning Baydar, Melih; Akbaş, Emre (2024-04-01) Recent self-supervised learning methods, where instance discrimination task is a fundamental way of pretraining convolutional neural networks (CNN), excel in transfer learning performance. Even though instance discriminati...
GEMLIDS-MIOT: A Green Effective Machine Learning Intrusion Detection System based on Federated Learning for Medical IoT network security hardening Ioannou, Iacovos; Nagaradjane, Prabagarane; Angın, Pelin; Balasubramanian, Palaniappan; Kavitha, Karthick Jeyagopal; Murugan, Palani; Vassiliou, Vasos (2024-03-01)
Evaluating the quality of visual explanations on chest X-ray images for thorax diseases classification Rahimiaghdam, Shakiba; Alemdar, Hande (2024-01-01) Deep learning models are extensively used but often lack transparency due to their complex internal mechanics. To bridge this gap, the field of explainable AI (XAI) strives to make these models more interpretable. However,...
Traffic signal optimization using multiobjective linear programming for oversaturated traffic conditions Coşkun, Mustafa Murat; Şener, Cevat; Toroslu, İsmail Hakkı (2024-01-01) In this study, we present a framework designed to optimize signals at intersections experiencing oversaturated traffic conditions, utilizing mixed-integer linear programming (MILP) techniques. The proposed MILP solutions w...
A Compact Multi-Exposure File Format for Backward and Forward Compatible HDR Imaging Sekmen, Selin; Akyüz, Ahmet Oğuz (2024-01-01) High dynamic range (HDR) imaging techniques offer photographers the ability to capture the full range of luminance in real-world scenes, overcoming the limitations of capture and display devices. One popular method for cre...
Early detection of fake news on emerging topics through weak supervision Akdag, Serhat Hakki; Çiçekli, Fehime Nihan (2024-01-01) In this paper, we present a methodology for the early detection of fake news on emerging topics through the innovative application of weak supervision. Traditional techniques for fake news detection often rely on fact-chec...
Hierarchical reinforcement Thompson composition Tanık, Güven Orkun; Ertekin Bolelli, Şeyda (2024-01-01) Modern real-world control problems call for continuous control domains and robust, sample efficient and explainable control frameworks. We are presenting a framework for recursively composing control skills to solve compos...
Semantic deep learning and adaptive clustering for handling multimodal multimedia information retrieval Sattari, Saeid; Yazıcı, Adnan (2024-01-01) Multimedia data encompasses various modalities, including audio, visual, and text, necessitating the development of robust retrieval methods capable of harnessing these modalities to extract and retrieve semantic informati...
A smart e-health framework for monitoring the health of the elderly and disabled Yazıcı, Adnan; Zhumabekova, Dana; Nurakhmetova, Aidana; Yergaliyev, Zhanggir; Yatbaz, Hakan Yekta; Makisheva, Zaida; Lewis, Michael; EVER, ENVER (2023-12-01) The healthcare sector is experiencing a significant transformation due to the widespread adoption of IoT-based systems, especially in the care of elderly and disabled individuals who can now be monitored through portable a...
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.
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)

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