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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)
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...
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...
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...
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...
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...
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...
Devising a Uniform Description of Underground Built Heritage Sites Karagöz, Pınar (2023-09-01)
Correlation Loss: Enforcing Correlation between Classification and Localization Kahraman, Fehmi; Oksuz, Kemal; KALKAN, SİNAN; Akbaş, Emre (2023-06-27) Object detectors are conventionally trained by a weighted sum of classification and localization losses. Recent studies (e.g., predicting IoU with an auxiliary head, Generalized Focal Loss, Rank & Sort Loss) have shown tha...
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection Demirel, Berkan; Baran, Orhun Buğra; Cinbiş, Ramazan Gökberk (2023-06-21) Few-shot object detection, the problem of modelling novel object detection categories with few training instances, is an emerging topic in the area of few-shot learning and ob- ject detection. Contemporary techniques can b...
GDPR and FAIR compliant decision support system design for triage and disease detection KARAMANLIOĞLU, ALPER; Alpaslan, Ferda Nur (2023-05-14)
Causal Structure Learning of Bias for Fair Affect Recognition Cheong, Jiaee; Kalkan, Sinan; Gunes, Hatice (2023-01-01) The problem of bias in facial affect recognition tools can lead to severe consequences and issues. It has been posited that causality is able to address the gaps induced by the associational nature of traditional machine l...
Counterfactual Fairness for Facial Expression Recognition Cheong, Jiaee; Kalkan, Sinan; Gunes, Hatice (2023-01-01) Given the increasing prevalence of facial analysis technology, the problem of bias in these tools is becoming an even greater source of concern. Causality has been proposed as a method to address the problem of bias, givin...
Anomaly Detection in In-Vehicle Networks with Graph Neural Networks Çizge Sinir Aǧlari ile Araç Içi Aǧlarda Anomali Tespiti Özdemir, Övgü; Karagöz, Pınar; Schmidt, Klaus Verner (2023-01-01) In today's vehicles, various functions required for the vehicle are managed by Electronic Control Units (ECU) and the communication of these units takes place over the in-vehicle network. With the increase in the number an...
Privacy-Preserving User Abnormal Behavior Detection in 5G Networks Acir, Berker; Onur, Ertan; Boutaba, Raouf (2023-01-01) Network Data Analytics Function (NWDAF) plays a key role in autonomous network management and security using machine learning (ML) techniques. However, not all ML methods such as convolutional neural networks, deep languag...

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