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Recent Submissions

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...
Coherent Personalized Paragraph Generation for a Successful Landing Page Çetinkaya, Yusuf Mucahit; Toroslu, İsmail Hakkı; Davulcu, Hasan (2022-11-12) Social media has become an important place for online marketing like never before. Businesses use various techniques to identify and reach potential customers across multiple platforms and deliver a message to grab their a...
Sabit Kanatlı Askeri Hava Araçları için Lokal/Dinamik Hareket Planlama Çalışmaları Ozdemir, Rasit; Ertekin Bolelli, Şeyda (2022-09-15)
SİNİR AĞLARI İLE ATIŞ ÖNCESİ DEĞER HESAPLAMA Gorgulu, Tugrul; Demirkan, Mert; Tanik, Guven Orkun; Ertekin Bolelli, Şeyda (2022-09-15)
A Novel Time-of-Flight Range and Bearing Sensor System for Micro Air Vehicle Swarms Bilaloğlu, Cem; Şahin, Mehmet; Arvin, Farshad; Şahin, Erol; Turgut, Ali Emre (2022-09-10) In this paper, we propose a novel range and bearing sensing (RnB) system for micro-air vehicle (MAV) swarms. The RnB system uses 12 infrared (IR) time-of-flight (ToF) sensors and measures the range and bearing of obstacles...

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