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Recent Submissions

Enhanced Thermal Human Detection with Fast Filtering for UAV Images Ozyurt, Umut; Cicekdag, Begum; budak, zafer dogan; Ertekin Bolelli, Şeyda (2024-01-19)
Evaluating Open-Source 5G SA Testbeds: Unveiling Performance Disparities in RAN Scenarios Rouili, Mohamed; Saha, Niloy; Golkarifard, Morteza; Zangooei, Mohammad; Boutaba, Raouf; Onur, Ertan; Saleh, Aladdin (2024-01-01) Fifth generation (5G) standalone (SA) mobile networks are rapidly gaining prominence worldwide, and becoming increasingly prevalent as the telecommunication industry standard. Most published work concerning 5G applications...
PejorativITy: Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian Tweets Muti, Arianna; Ruggeri, Federico; Toraman, Çağrı; Musetti, Lorenzo; Algherini, Samuel; Ronchi, Silvia; Saretto, Gianmarco; Zapparoli, Caterina; Barrón-Cedeño, Alberto (2024-01-01) Misogyny is often expressed through figurative language. Some neutral words can assume a negative connotation when functioning as pejorative epithets. Disambiguating the meaning of such terms might help the detection of mi...
ARC-NLP at ClimateActivism 2024: Stance and Hate Speech Detection by Generative and Encoder Models Optimized with Tweet-Specific Elements Kaya, Ahmet Kagan; Ozcelik, Oguzhan; Toraman, Çağrı (2024-01-01) Social media users often express hate speech towards specific targets and may either support or refuse activist movements. The automated detection of hate speech, which involves identifying both targets and stances, plays ...
JL-Hate: An Annotated Dataset for Joint Learning of Hate Speech and Target Detection Buyukdemirci, Kaan; Kucukkaya, Izzet Emre; Olmez, Eren; Toraman, Çağrı (2024-01-01) The detection of hate speech is a subject extensively explored by researchers, and machine learning algorithms play a crucial role in this domain. The existing resources mostly focus on text sequence classification for the...
Parallel and Distributed Architecture for Multilingual Open Source Intelligence Systems Karamanlıoğlu, Alper; Yurtalan, Gokhan; Karatas, Yahya Bahadir (2024-01-01) The proliferation of publicly available information across multiple languages presents both unique challenges and opportunities for Open Source Intelligence (OSINT) systems. This paper proposes a novel architecture for mul...
Feature Extraction Strategy for Runtime of MOT Çoklu Nesne Takip Hızı için Öznitelik Çıkarma Stratejisi Bayar, Emirhan; Aker, Cemal (2024-01-01) Matching appearance features of objects is one of the key components of the recent Multiple Object Tracking methods. However, the computational cost of feature extraction results in extremely low processable Frames per Sec...
Visualization of Human Brain Network for the Analysis of Alzheimer's Disease Alzheimer Hastalığının Analizi için Beyin Ağlarının Görselleştirilmesi Değirmendereli, Gönül Günal; Aydın, Ulaş Sedat; Ahmadkhan, Abdulla; Türnüklü, Barış; Yarman Vural, Fatoş Tunay (2024-01-01) In this study, we propose a new model for visualizing brain networks of brain using functional Magnetic Resonance Imaging (fMRI). In this model, we estimate the probability density functions of the regions by considering t...
MiDe22: An Annotated Multi-Event Tweet Dataset for Misinformation Detection Toraman, Çağrı; Ozcelik, Oguzhan; Şahinuç, Furkan; Can, Fazli (2024-01-01) The rapid dissemination of misinformation through online social networks poses a pressing issue with harmful consequences jeopardizing human health, public safety, democracy, and the economy; therefore, urgent action is re...
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkish Çekinel, Recep Fırat; Karagöz, Pınar; Coltekin, Cagri (2024-01-01) The rapid spread of misinformation through social media platforms has raised concerns regarding its impact on public opinion. While misinformation is prevalent in other languages, the majority of research in this field has...
RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses Çetinkaya, Bedrettin; Kalkan, Sinan; Akbas, Emre (2024-01-01) Görüntülerde kenarları tespit etmek, (P1) pozitif ve negatif sınıflar arasında büyük bir dengesizlik ve (P2) farklı etiketleyiciler arasındaki fikir ayrılıklarından kaynaklanan etiket belirsizliği sorunlarıyla karşı karşıy...
A multi-level multi-label text classification dataset of 19th century Ottoman and Russian literary and critical texts Gokceoglu, Gokcen; Cavusoglu, Devrim; Akbaş, Emre; Dolcerocca, Ozen Nergis (2024-01-01) This paper introduces a multi-level, multi-label text classification dataset comprising over 3000 documents. The dataset features literary and critical texts from 19th-century Ottoman Turkish and Russian. It is the first s...
From Data to Insights: Using Fuzzy Logic in Spatial Data Summarization with Fuzzy Spatial OLAP Keskin, Sinan; Yazıcı, Adnan (2024-01-01) The effectiveness of data knowledge acquisition is closely linked to the aggregation process, particularly in data warehouses where extensive data sets reside. Our study enhances the fuzzy spatial online analytical process...
FairReFuse: Referee-Guided Fusion for Multimodal Causal Fairness in Depression Detection Cheong, Jiaee; Kalkan, Sinan; Gunes, Hatice (2024-01-01) Machine learning (ML) bias in mental health detection and analysis is becoming an increasingly pertinent challenge. Despite promising efforts indicating that multimodal methods work better than unimodal methods, there is m...
Empathify at WASSA 2024 Empathy and Personality Shared Task: Contextualizing Empathy with a BERT-Based Context-Aware Approach for Empathy Detection Numanoğlu, Arda; Ateş, Süleyman; Çiçekli, Fehime Nihan; Küçük, Dilek (2024-01-01) Empathy detection from textual data is a complex task that requires an understanding of both the content and context of the text. This study presents a BERT-based context-aware approach to enhance empathy detection in conv...
Uncertainty Calculation-as-a-Service: Microservice-Based Metrology Applications Çetinkaya, Anıl; Kaya, M. Cagri; Bzuneh, Teklie Belay; Oğuztüzün, Mehmet Halit S. (2024-01-01) The calibration industry faces significant challenges due to its diverse and sophisticated equipment and complex traditional processes. Rapidly advancing technology highlights existing challenges while inspiring the adopti...
IndexAI: AI Based Index Selection for NoSQL Databases Khosravİ, Mohammad Mahdi; Karagöz, Pınar; Toroslu, İsmail Hakkı (2023-12-24)
A Novel Graph Neural Network for Zone-Level Urban-Scale Building Energy Use Estimation Halaçll, Eren Gökberk; Canll, Ilkim; Işeri, Orçun Koral; Yavuz, Feyza; Akgül, Çaǧla Meral; Kalkan, Sinan; Gürsel Dino, İpek (2023-11-15) Buildings are highly responsible for total energy consumption in cities; therefore, accurate estimation of building energy consumption is essential for developing energy-efficient strategies on an urban scale. Data-driven ...
Wine in the Cloud, or: Smart Vineyards with a Distributed "Extreme Data Database" and Supercomputing Karagöz, Pınar; Harsh, Piyush; Hachinger, Stephan; Derquennes, Marc; Edmonds, Andy; Golasowski, Martin; Hayek, Mohamad; Martinovič, Jan (2023-10-25) In this contribution, we sketch an application of Earth System Sciences and Cloud-/Big-Data- based IT, which shall soon leverage European supercomputing facilities: smart viticulture, as put into practice by Terraview. Ter...
HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness Yücel, Mehmet Kerim; Cinbiş, Ramazan Gökberk; DUYGULU ŞAHİN, PINAR (2023-10-06) Convolutional Neural Networks (CNN) are known to exhibit poor generalization performance under distribution shifts. Their generalization have been studied extensively, and one line of work approaches the problem from a fre...

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