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Neighborhood search with heuristic-based feature selection for click-through rate prediction Aksu, Dogukan; Toroslu, İsmail Hakkı; Davulcu, Hasan (2025-04-15) Click-through-rate (CTR) prediction is crucial in online advertising and recommender systems. Maximizing CTR has been a major focus, leading to the development of numerous models designed to capture implicit and explicit f...
A concept-aware explainability method for convolutional neural networks Gurkan, Mustafa Kagan; Arica, Nafiz; Yarman Vural, Fatoş Tunay (2025-03-01) Although Convolutional Neural Networks (CNN) outperform the classical models in a wide range of Machine Vision applications, their restricted interpretability and their lack of comprehensibility in reasoning, generate many...
Colorectal cancer tumor grade segmentation: A new dataset and baseline results Arslan, Duygu; Sehlaver, Sina; Guder, Erce; Temena, Mehmet Arda; Bahcekapili, Alper; Ozdemir, Umut; Turkay, Duriye Ozer; Guner, Gunes; Guresci, Servet; SÖKMENSÜER, CENK; Akbaş, Emre; Acar, Ahmet (2025-02-28) Routine pathology assessment for the tumor grading is currently performed under the microscope by experienced pathologists which might be prone to interpersonal variability and requiring years of experience. Over the past ...
DocSpider: a dataset of cross-domain natural language querying for MongoDB Özer, Arif Görkem; Çekinel, Recep Fırat; Toroslu, İsmail Hakkı; Karagöz, Pınar (2025-02-12) Natural language querying allows users to formulate questions in a natural language without requiring specific knowledge of the database query language. Large language models have been very successful in addressing the tex...
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...
An altitude-aware fuzzy approach for energy efficiency in UAV-assisted 3D Wireless Sensor Networks Sert, Seyyit Alper; Yazıcı, Adnan (2024-12-01) In Wireless Sensor Networks (WSNs) that use multi-hop topologies, issues like energy holes and hotspots have become prominent. To address these, recent research has proposed using mobile sinks with abundant resources. Thes...
Constructing ensembles for hate speech detection Kucukkaya, Izzet Emre; Toraman, Çağrı (2024-09-13) Hate speech against individuals and groups with certain demographics is a major issue in social media. Supervised models for hate speech detection mostly utilize labeled data collections to understand textual semantics. Ho...
Drug Repurposing Approach to Identify Candidate Drug Molecules for Hepatocellular Carcinoma Baser, Tugce; Rifaioğlu, Ahmet Süreyya; Atalay, Mehmet Volkan; Atalay, Rengül (2024-09-01) Hepatocellular carcinoma (HCC) is the most prevalent primary liver cancer, with a high mortality rate due to the limited therapeutic options. Systemic drug treatments improve the patient’s life expectancy by only a few mon...
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 ...
Relative distances approach for multi-traveling salesmen problem Ergüven, Emre; Polat, Faruk (2024-09-01)
UNCERTAINTY EVALUATION USING LAW OF PROPAGATION AND MONTE CARLO SIMULATION METHODS WITH THE AUTORFPOWER MEASUREMENT SOFTWARE Danacı, Erkan; Kartal Doğan, Aliye; Çiçek, Engin Can; Çetinkaya, Anıl; Kaya, Muhammed Çağrı; Oğuztüzün, Mehmet Halit S.; Tünay, Gülsün (2024-09-01) RF power measurement is essential in RF and microwave metrology. For reliable and accurate power measurement, automatic measurement is preferred. A software application in C#, named AutoRFPower, was developed for automatic...
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...
CALPAGAN: Calorimetry for Particles Using Generative Adversarial Networks Simsek, Ebru; IŞILDAK, Bora; Dogru, Anil; Aydogan, Reyhan; Bayrak, Burak; Ertekin Bolelli, Şeyda (2024-08-01) In this study, a novel approach is demonstrated for converting calorimeter images from fast simulations to those akin to comprehensive full simulations, utilizing conditional Generative Adversarial Networks (GANs). The con...
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 ...
3D geometric kernel computation in polygon mesh structures Asiler, Merve; Sahillioğlu, Yusuf (2024-08-01) This paper introduces a novel approach to compute the geometric kernel of a polygon mesh embedded in 3D. The geometric kernel defines the set of points inside or on the shape's boundary, ensuring visibility of the entire s...
Uncertainty Calculation as a Service: Integrating Cloud-Based Microservices for Enhanced Calibration and DCC Generation Çetinkaya, Anıl; Kaya, M. Cagri; Danaci, Erkan; Oğuztüzün, Mehmet Halit S. (2024-08-01) The calibration industry is renowned for its diverse and sophisticated equipment and complex processes, which necessitate innovative solutions to keep pace with rapidly advancing technology. This paper introduces an enhanc...
Shadow-aware terrain classification: advancing hyperspectral image sensing through generative adversarial networks and correlated sample synthesis Peker, Ali Gokalp; Yuksel, Seniha Esen; Cinbiş, Ramazan Gökberk; Cetin, Yasemin Yardimci (2024-07-01) In recent years, the utilization of hyperspectral sensors for remote sensing has marked a profound advancement due to the success of machine learning techniques. Nevertheless, difficulties still exist, especially in locati...
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...

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