Graduate School of Informatics, Conference / Seminar

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Recent Submissions

Multilingual Implicit Discourse Relation Recognition via Abstract Object-Enhanced Chain-of-Thought Prompting Er, Mustafa Erolcan; Kurfali, Murathan; Zeyrek Bozşahin, Deniz (2026-01-01) Large language models (LLMs) have demonstrated remarkable performance across a wide range of NLP tasks. However, their effectiveness in discourse parsing remains underexplored where the existing LLM-based attempts fall sig...
EXPLORING STUDENT PERSPECTIVES ON ADOPTING GENERATIVE ARTIFICIAL INTELLIGENCE FOR LEARNING: AN EMPIRICAL STUDY Özkan Yıldırım, Sevgi; Zaka, Minal (2025-11-12) Generative artificial intelligence (GenAI) is reshaping higher education by offering personalized andefficient learning support. However, even with the research on the acceptance of GenAI ongoing, thestudents&#39; perc...
Colorectal Cancer Segmentation with Adaptive Augmentation and Multi-Resolution Ensemble Models Çağlar, Ümit Mert; Temizel, Alptekin (2025-10-19)
Joint MK Classification of Stellar Spectra with Distance-Aware CNNs Sezen, Volga; Temizel, Alptekin (2025-10-19)
Adaptive Augmentation Policy Optimization with LLM Feedback Duru, Ant; Temizel, Alptekin (2025-10-19)
Evaluation of Existing Process Models for Research and Development Projects GÜNEŞ, HANDE; Özcan Top, Özden (2025-10-14)
Looking Beyond Technology: Hierarchical List of People and Culture Capabilities for Advanced Data Analytics Afshar Ghochani, Tina; Özcan Top, Özden; Aysolmaz, Banu (2025-07-31)
ERP/SAP ACCEPTANCE IN ORGANIZATIONS: A TAM- BASED MODEL GROUNDED IN SAP IS-U PRACTICES IN THE ENERGY SECTOR Yıldız, Işınsu; Özkan Yıldırım, Sevgi (2025-07-24)
DEVELOPING A MODEL FOR THE ACCEPTANCE OF PROJECT MANAGEMENT TOOLS IN ORGANIZATIONS Özkan Yıldırım, Sevgi; Erkaş, Ezgi (2025-07-23)
Prognostic and therapeutic insights into LTBP1 in Hepatocellular Carcinoma: pathway enrichment, immune profiling, and drug repurposing Nalbat, Esra; Gülhan, Rabia Useyma (2025-02-15)
Unveiling Molecular Biomarkers of MASLD Fibrosis: A Transcriptomic and Pathway Enrichment Analysis Nalbat, Esra; Kahraman, Deniz Cansen (2025-02-15)
Deciphering Sequence Variations And Splicing Sensitivity: Predictive Analysis Of Psi In Srrm4 Response Groups Otlu Sarıtaş, Burçak; Böler, Ümit Sude (2025-01-15)
Rapid Construction Of Mutation-Centric Networks Leveraging Long-Range Interaction Data Otlu Sarıtaş, Burçak; Hüseynov, Ramal (2025-01-15)
Local Masking Meets Progressive Freezing: Crafting Efficient Vision Transformers for Self-Supervised Learning Topçuoğlu, Utku Mert; Akagündüz, Erdem (2025-01-01) This paper presents an innovative approach to self-supervised learning for Vision Transformers (ViTs), integrating local masked image modeling with progressive layer freezing. This method enhances the efficiency and speed ...
Feature Distribution-Based Touch Biometrics Using CNN and Siamese Networks Gündüz, Gürkan; Kaplan, Muratcan; Taşkaya Temizel, Tuğba (2025-01-01) Ensuring secure and user-friendly authentication is important as mobile devices increasingly handle sensitive data. Traditional methods like PINs, fingerprints, and facial recognition have privacy limitations, whereas beha...
Translation Awareness of Conveying Discourse Relations: A Study on English TED Talks and Their Translation into Lithuanian, Portuguese and Turkish Oleškevičienė, Giedrė Valūnaitė; Zeyrek Bozşahin, Deniz; Mendes, Amalia; Gulbinskienė, Dalia; Rotomskis, Irmantas (2025-01-01) This study is cross-linguistically framed to raise translator awareness by illuminating the limits and extent of variation regarding the organization of discourse relations in two English TED talk transcripts and their tra...
Infrared Domain Adaptation with Zero-Shot Quantization Sevsay, Burak; Akagündüz, Erdem (2025-01-01) Quantization is one of the most popular techniques for reducing computation time and shrinking model size. However, ensuring the accuracy of quantized models typically involves calibration using training data, which may be...
A Comparative Study of Multi-Task Learning Approaches on Disjoint Datasets Ayri sik Veri Setlerinde ok G revli grenme Yakla simlarinin Kar sila stirilmasi Yasin, Ahmed Hani; Akagündüz, Erdem; Demir, Ibrahim (2025-01-01) Multi-task learning is an approach that aims to use resources more efficiently during inference by concurrently learning multiple tasks through a single model. This method seeks to improve model generalization and performa...
Post-Inference Guided Transformer for Anomaly Interval Localization in Multivariate Time Series Uzuntürk, Göksu; Taşkaya Temizel, Tuğba (2025-01-01) Range-based anomaly detection in multivariate time series is critical for real-world applications such as industrial monitoring, where anomalies often span intervals and exhibit distinct types. We propose a transformer-bas...
Assessing the Maturity of Blockchain-based Supply Chain Management and Logistics: Comprehensive Examination of the Current Situation Şener, Umut; Çaldag, Murat Tahir; GÖKALP AYDIN, EBRU (2025-01-01) Blockchain technology, a transformative force in digital transactions, has emerged as a significant enabler of secure, transparent, and traceable operations within supply chain management and logistics (SCML). Its immutabl...

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