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Recent Submissions

Wine in the Cloud, or: Smart Vineyards with a Distributed "Extreme Data Database" and Supercomputing Karagöz, Pınar (2023-10-25)
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)
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...
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...
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...
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...
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...
A Novel Time-of-Flight Range and Bearing Sensor System for Micro Air Vehicle Swarms BİLALOĞLU, CEM; Şahin, Mehmet; Arvin, Farshad; Şahin, Erol; Turgut, Ali Emre (2022-09-10)
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...
Denoising and Guided Upsampling of Monte Carlo Path Traced Low Resolution Renderings Alpay, Kadir Cenk; Akyüz, Ahmet Oğuz (2022-07-27) Monte Carlo path tracing generates renderings by estimating the rendering equation using the Monte Carlo method. Studies focus on rendering a noisy image at the original resolution with a low sample per pixel count to decr...
Summarizing Legal Regulatory Documents using Transformers Klaus, Svea; Van Hecke, Ria; Djafari Naini, Kaweh; Altıngövde, İsmail Sengör; Bernabé-Moreno, Juan; Herrera-Viedma, Enrique (2022-07-06) © 2022 ACM.Companies invest a substantial amount of time and resources in ensuring the compliance to the existing regulations or in the form of fines when compliance cannot be proven in auditing procedures. The topic is no...
Group oriented trust-aware location recommendation for location-based social networks Teoman, Huseyin Alper; Karagöz, Pınar (2022-04-25) © 2022 ACM.With the increasing popularity of social networks and online communities, group recommendation systems arise in order to support users to interact with those having similar interests, and to provide recommendati...
Closed-form sample probing for learning generative models in Zero-shot Learning Çetin, Samet; Baran, Orhun Buğra; Cinbiş, Ramazan Gökberk (2022-04-25) Generative model based approaches have led to significant advances in zero-shot learning (ZSL) over the past few years. These approaches typically aim to learn a conditional generator that synthesizes training samples of c...
SAID: ECC-Based Secure Authentication and Incentive Distribution Mechanism for Blockchain-Enabled Data Sharing System Rizwan, Muhammad; Sohail, Muhammad Noman; Asheralieva, Alia; Anjum, Adeel; Angın, Pelin (2022-01-24) The fast digital transformation the world experienced in the past few decades has created a multitude of information resources distributed over the Internet and accessed by many different entities. The sharing of these res...

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