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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...
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...
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...
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...
Exploring early markers of fibrosis progression in metabolic dysfunction–associated steatotic liver disease in Turkiye
Kahraman, Deniz Cansen; Sinoplu, Esra; ATALAY, RENGÜL; İDİLMAN, RAMAZAN (2024-02-17)
Lightweight Connective Detection Using Gradient Boosting
Erolcan Er, Mustafa; Kurfalı, Murathan; Zeyrek Bozşahin, Deniz (2024-01-01)
In this work, we introduce a lightweight discourse connective detection system. Employing gradient boosting trained on straightforward, low-complexity features, this proposed approach sidesteps the computational demands of...
INVESTIGATING SOFTWARE DEVELOPMENT BUSINESS PROCESSES USING SOFT SYSTEMS METHODOLOGY
Günaydın, Gökçe; Özkan Yıldırım, Sevgi (2024-01-01)
Organizations continually strive for operational excellence by refining their processes, streamlining workflows, and minimizing employee turnover to enlarge operational efficiency, enhance productivity, decrease wastage, a...
Modelling Shared Decision Making Interactions using Influence Diagrams
Yildirim, Zeliha; Yet, Barbaros (2024-01-01)
Shared Decision Making (SDM) has become a predominant element of patient-centered healthcare delivery in recent years. In SDM, multiple agents, including a patient and a clinician interact to make a joint decision that is ...
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...
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...
RETHINKING THE CENTRALIZATION OF IT GOVERNANCE: VOICES OF SENIORS FROM A LARGE TECHNOLOGY ORGANIZATION
Sari, Burcin; Özkan Yıldırım, Sevgi (2024-01-01)
As some organizations become larger and grow with respect to size, they aim to centralize their IT governance to improve relevant effectiveness and efficiency. However, it is still not fully clear whether this kind of tran...
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...
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