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Recent Submissions

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 ...
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...
Autonomous Visual Moderation System (AutoMod) Otonom Görsel Moderasyon Sistemi (AutoMod) Bahtiyar, Huseyin; Katipoǧlu, Bahadir Irfan; Yüksel, Eda; Toroslu, İsmail Hakkı; Karagöz, Pınar (2023-01-01) Automod, the content moderation system, is an artificial intelligence solution that enables the detection of similarities and inconsistencies in visual content (image, video, etc.). It is designed as a content moderation s...
DidEye: An Attempt for Defining and Incorporating Visual Intuition for Convolutional Neural Networks DidEye: Bir Görsel Sezgi Tanimlama Denemesi ve Evrişimsel Sinir Aǧlarina Uygulanmasi Koç, Robin; Yarman Vural, Fatoş Tunay (2023-01-01) Is it possible to formally define one of the important capabilities of human mind, the intuition, in a mathematical sense? Can we use this definition to develop more robust CNN (Convolutional Neural Networks) model? Throug...
Useful Daylight Illuminance Prediction Under Data Imbalance in an Urban Context Canli, Ilkim; Kalkan, Sinan; Gürsel Dino, İpek (2023-01-01) Optimal daylight illumination can aid sustainable design by improving occupants’ psychological and physical health, visual and thermal comfort and decreasing electrical lighting energy usage in buildings. However, dense ur...
Towards Causal Replay for Knowledge Rehearsal in Continual Learning Churamani, Nikhil; Cheong, Jiaee; Kalkan, Sinan; Gunes, Hatice (2023-01-01) Given the challenges associated with the real-world deployment of Machine Learning (ML) models, especially towards efficiently integrating novel information on-the-go, both Continual Learning (CL) and Causality have been p...
Finding Islands on Encrypted Graphs Sifreli Çizgelerde Adalari Bulma Acir, Berker; Onur, Ertan; Onur, Cansu Betin (2023-01-01) Cloud computing services have found widespread use recently. Offloading computations to public clouds has many benefits albeit harming the privacy of users and data. Homomorphic encryption facilitates cloud computing servi...
A Multi-Hop Routing Protocol in Backscattering Tag-To-Tag Networks Murat, Furkan; Eroglu, Alperen; Onur, Ertan (2023-01-01) With the development of backscatter tag-to-tag communication, passive RFID tags can form networks, and the usage areas of tags are not limited to the identification or tracking of attached objects anymore. The communicatio...
ARC-NLP at PAN 2023: Transition-Focused Natural Language Inference for Writing Style Detection Kucukkaya, Izzet Emre; Sahin, Umitcan; Toraman, Çağrı (2023-01-01) The task of multi-author writing style detection aims at finding any positions of writing style change in a given text document. We formulate the task as a natural language inference problem where two consecutive paragraph...
ARC-NLP at Multimodal Hate Speech Event Detection 2023: Multimodal Methods Boosted by Ensemble Learning, Syntactical and Entity Features Sahin, Umitcan; Kucukkaya, Izzet Emre; Ozcelik, Oguzhan; Toraman, Çağrı (2023-01-01) Text-embedded images can serve as a means of spreading hate speech, propaganda, and extremist beliefs. Throughout the Russia-Ukraine war, both opposing factions heavily relied on text-embedded images as a vehicle for sprea...
SiMiD: Similarity-based Misinformation Detection via Communities on Social Media Posts Ozcelik, Oguzhan; Toraman, Çağrı; Can, Fazli (2023-01-01) Social media users often find themselves exposed to similar viewpoints and tend to avoid contrasting opinions, particularly when connected within a community. In this study, we leverage the presence of communities in misin...

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