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Recent Submissions

ROBOtic Replicants for Optimizing the Yield by Augmenting Living Ecosystems Şahin, Erol; Turgut, Ali Emre; Alemdar, Hande(2026-10-31) As the world’s most successful pollinators, bees play a huge part in every aspect of the ecosystem. So, any decline in bee populations could pose a threat to global agriculture. In this context, the EU-funded RoboRoyale pr...
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...
Multimodal Fact-Checking with Vision Language Models: A Probing Classifier based Solution with Embedding Strategies. Karagöz, Pınar; Çekinel, Recep Fırat; Çöltekin, Çağrı (2025-02-01)
Make Satire Boring Again: Reducing Stylistic Bias of Satirical Corpus by Utilizing Generative LLMs Öztürk, Aslı Umay; Çekinel, Recep Fırat; Karagöz, Pınar (2025-01-20)
Bucketed Ranking-Based Losses for Efficient Training of Object Detectors Yavuz, Feyza; Cam, Baris Can; Doğan, Adnan Harun; Oksuz, Kemal; Akbaş, Emre; KALKAN, SİNAN (2025-01-01) Ranking-based loss functions, such as Average Precision Loss and Rank&Sort Loss, outperform widely used score-based losses in object detection. These loss functions better align with the evaluation criteria, have fewer hyp...
Evaluating the Impact of Client Selection Algorithms on Performance and Training Speed in Heterogeneous Resource Allocation and Non-IID Data Özdemir, Övgü; DİLEK, AYŞE; Karagöz, Pınar (2024-12-30)
Explaining Veracity Predictions with Evidence Summarization: A Multi-Task Model Approach Çekinel, Recep Fırat; Karagöz, Pınar (2024-12-29)
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)
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...
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...
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 ...

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