Graduate School of Informatics, Conference / Seminar

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Recent Submissions

News Classification with State-of-the-Art Deep Learning Methods Özdemir, Serkan (2024-10-16) The subject of text classification is a fundamental area particularly considering current expansion of chatbots and recommendation systems. There exists promising results with traditional machine learning (ML) algorithms, ...
TopoMaskV2: Enhanced Instance-Mask-Based Formulation for the Road Topology Problem Kalfaoğlu, Muhammet Esat; Öztürk, Halil İbrahim; Kılınç, Özsel; Temizel, Alptekin (2024-09-30)
Test Selection for Deep Neural Networks using Meta-Models with Uncertainty Metrics Demir, Demet; Betin Can, Aysu; Sürer, Elif (2024-09-16)
Critical Success Factors in Data Analytics Projects: Insights from a Systematic Literature Review Demir, Nisa; Aysolmaz, Banu; Özcan Top, Özden (2024-09-10) Various data analytics applications are increasingly used by organizations to extract insights from data. There are numerous studies exploring the critical success factors (CSFs) in different data analytics fields includin...
A coreference corpus of Turkish situated dialogs Büyüktekin, Faruk; Özge, Umut (2024-08-15)
Exploring the Impact of Social Factors on Wayfinding and Visual Attention in a Virtual Airport Environment Orlu, Gökçe; İmamoğlu, Çağrı; Sürer, Elif (2024-07-02)
Özgecilik (Diğerkamlık) Davranışının İncelenmesi: Üniversite Öğrencileri Arasında Kişilik Özelliklerinin, Risk Tutumunun, Cinsiyetin ve COVID-19 Korkusunun Etkisi Şimşek, Şeyma; Özdemir, Özlem (2024-04-20)
Revisiting Technical Debt Types and Indicators for Software Systems Caglayan, Dilek; Özcan Top, Özden (2024-04-08) Technical Debt (TD) 1 term in software systems was introduced over two decades ago and remains a critical concern in software development. It has the potential to evolve into a liability that necessitates refactoring or re...
Is Climate Change a Hoax: Fake News Detection for Sustainability News Özdemir, Serkan (2024-03-20) Fake news and misleading information have long been recognized as significant concerns throughout human history, perpetually challenging the integrity of information dissemination. With the pervasive rise of social media p...
Investigating Mind Perception in HRI through Real-Time Implicit and Explicit Measurements Pekçetin, Tuğçe Nur; Acartürk, Cengiz; Urgen, Burcu A. (2024-03-11) Social robots have revolutionized social interaction and communication. This study explores our perception of robots, focusing on the factors influencing evaluations of Agency and Experience - two dimensions of mind percep...
Real-World Implicit Association Task for Studying Mind Perception: Insights for Social Robotics Pekçetin, Tuğçe Nur; Evsen, Şeyda; Pekçetin, Serkan; Acartürk, Cengiz; Urgen, Burcu A. (2024-03-11) In response to the growing demand for enhanced integration of implicit measurements in Human-Robot Interaction (HRI) research, the need for studies involving physically present robots, and the calls for a transition from l...
A Naturalistic Laboratory Setup for Real-World HRI Studies Pekçetin, Tuğçe Nur; Evsen, Şeyda; Pekçetin, Serkan; Karaduman, Tuvana Dilan; Acartürk, Cengiz; Urgen, Burcu A. (2024-03-11) We present our novel naturalistic laboratory setup that facilitates the presentation of real-world live-action stimuli by physically present actors in a controlled manner. Participants observe live-action stimuli through a...
Durumun tek kaynağı olarak fiil Bozşahin, Hüseyin Cem (2024-01-01)
GPU-Based Brute Force Cryptanalysis of KLEIN Tezcan, Cihangir (2024-01-01) KLEIN is a family of lightweight block ciphers that supports 64-bit, 80-bit, and 96-bit secret keys. In this work, we provide a CUDA optimized table-based implementation of the KLEIN family which does not contain shared me...
Keystroke Transcription from Acoustic Emanations Using Continuous Wavelet Transform Ozkan, Abdullah; Günel Kılıç, Banu; Acartürk, Cengiz (2024-01-01) Acoustic propagation is a notable pathway, enabling information input via a keyboard to potentially leak. This type of attack, which leverages the processing of keystroke sounds to capture data, has been the subject of var...
Harnessing Large Language Models for Automatic Evaluation of Mobile Health Applications Based on Persuasive System Design Principles and Mobile Application Rating Scale Afşin, Yasin; Taşkaya Temizel, Tuğba (2024-01-01) Mobile applications have seen a growing prevalence in the healthcare sector, yet the absence of comprehensive regulations and preliminary assessments can lead to significant frustration and time loss for users. To address ...
Multiple Discourse Relations in English TED Talks and Their Translation into Lithuanian, Portuguese, and Turkish Zeyrek Bozşahin, Deniz; Oleškevičienė, Giedrė Valūnaitė; Mendes, Amália (2024-01-01) This paper focuses on multiple discourse relations, which refer to more than one sense relation between a pair of discourse segments. It shows how they are realized in English texts and their translations into Lithuanian, ...
Enhancing Address Data Integrity using Transformer-Based Language Models Dönüştürücü Tabanlı Dil Modelleri Kullanarak Adres Veri Bütünlüğünün Geliştirilmesi Kürklü, Ömer Faruk; Akagündüz, Erdem (2024-01-01) Address data integrity is a critical aspect in numerous applications, yet it is often plagued with inaccuracies and inconsistencies, particularly in non-standardized formats. This study explores a novel application of tran...
HypoTermQA: Hypothetical Terms Dataset for Benchmarking Hallucination Tendency of LLMs Uluoglakci, Cem; Taşkaya Temizel, Tuğba (2024-01-01) Hallucinations pose a significant challenge to the reliability and alignment of Large Language Models (LLMs), limiting their widespread acceptance beyond chat-bot applications. Despite ongoing efforts, hallucinations remai...
Analyzing Socioeconomic Status through Culinary Ingredients: A Large-Scale Study of Pita and Pizza Dishes Kilic, Oz; Taşkaya Temizel, Tuğba (2024-01-01) This study investigates whether the ingredients listed on restaurant menus can provide insights into a city's socioeconomic status. Using data from an online food delivery system, the study compares menu items with local e...

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