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Recent Submissions

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)
LIMP: Incremental Multi-agent Path Planning with LPA*
Yorganci, Mucahit Alkan; Semiz, Fatih; Polat, Faruk (2022-01-01)
The multi-agent pathfinding (MAPF) problem is defined as finding conflict-free paths for more than one agent. There exist optimal and suboptimal solvers for MAPF, and most of the solvers focus on the MAPF problem in static...
Spatio-Temporal Analysis of Facial Actions using Lifecycle-Aware Capsule Networks
Churamani, Nikhil; Kalkan, Sinan; Güneş, Hatice (2021-12-26)
Trust Modeling in Recommendation
Demirci, Mehmet Utku; Karagöz, Pınar (2021-12-09)
In social networks, trust is a fundamental notion aecting the na-ture and the strength of ties between individuals. It is also a pieceof useful auxiliary information for improving the performance ofrecommendation systems....
Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation
ÖKSÜZ, KEMAL; ÇAM, BARIŞ CAN; Kahraman, Fehmi; Baltacı, Zeynep Sonat; Kalkan, Sinan; Akbaş, Emre (2021-11-29)
This paper presents Mask-aware Intersection-over-Union (maIoU) for assigning anchor boxes as positives and negatives during training of instance segmentation methods. Unlike conventional IoU or its variants, which only con...
Rank & Sort Loss for Object Detection and Instance Segmentation
ÖKSÜZ, KEMAL; ÇAM, BARIŞ CAN; Akbaş, Emre; Kalkan, Sinan (2021-10-17)
We propose Rank & Sort (RS) Loss, a ranking-based loss function to train deep object detection and instance segmentation methods (i.e. visual detectors). RS Loss supervises the classifier, a sub-network of these methods, t...
Explainability in Irony Detection
Buyukbas, Ege Berk; Dogan, Adnan Harun; Ozturk, Aslı Umay; Karagöz, Pınar (2021-09-05)
Irony detection is a text analysis problem aiming to detect ironic content. The methods in the literature are mostly for English text. In this paper, we focus on irony detection in Turkish and we analyze the explainability...
Development and Maintenance of Mobile Forensic Investigation Software Modules
Arıkan, Süleyman Muhammed; Yürekten, Özgür (2021-07-20)
Nowadays, mobile devices are indispensable for social and business activities. Therefore, mobile device forensic technologies are critical for forensics practitioners. While using these technologies, they can investigate a...
Management of Service Function Chains in Programmable Data Plane
Yürekten, Özgür (2021-07-19)
The rapid development of information technologies necessitates the use of high-speed network technologies. Software defined networking and network function virtualization are critical technologies for high-bandwidth, dynam...
Investigating the preprocessing methods in ECG analysis
Ekinci, Göktuğ; Kardeş, Ege; Güvenkaya, Hazal; Karagöz, Pınar (2021-07-19)
The electrocardiogram (ECG) signals are basically the combination of sequential electrical impulses generated by tissues in the heart. In the last decades, by using ECG signals, various studies such as heart beat classific...
1. AI-based Air-to-Surface Mission Planning for Opportunity Targets using Predictive LAR Approach
Ertekin Bolelli, Şeyda (2021-06-11)
Feature Dimensionality Reduction with Variational Autoencoders in Deep Bayesian Active Learning
Ertekin Bolelli, Şeyda (2021-06-09)
Data annotation for training of supervised learning algorithms has been a very costly procedure. The aim of deep active learning methodologies is to acquire the highest performance in supervised deep learning models by ann...
Lifelong learning and personalization in long-term human-robot interaction (LEAP-HRI)
Irfan, Bahar; Ramachandran, Aditi; Spaulding, Samuel; Kalkan, Sinan; Parisi, German I.; Gunes, Hatice (2021-03-08)
While most of the research in Human-Robot Interaction (HRI) focuses on short-term interactions, long-term interactions require bolder developments and a substantial amount of resources, especially if the robots are deploye...
Dynamic Resource Management in Next Generation Networks based on Deep Q Learning
Aslan, Aysun; Bal Bozkurt, Gülce; Toker, Cenk (Institute of Electrical and Electronics Engineers (IEEE); 2021-1-07)
In next generation networks, with the increasing number of diverse mobile network service types, a major challenge lies in how to manage and support all mobile service users who have different Quality of Service (QoS) requ...
Covert Channel Detection Using Machine Learning
Çavuşoğlu, İmge Gamze; Alemdar, Hande; Onur, Ertan (2021-01-07)
A covert channel is a communication method that misuses legitimate resources to bypass intrusion detection systems. They can be used to do illegal work like leaking classified (or sensitive) data or sending commands to mal...
Estimating Static and Dynamic Brain Networks by Kulback-Leibler Divergence from fMRI Data
Degirmendereli, Gonul Gunal; Yarman Vural, Fatoş Tunay (2021-01-01)
Representing brain activities by networks is very crucial to understand various cognitive states. This study proposes a novel method to estimate static and dynamic brain networks using Kulback-Leibler divergence. The sugge...
Optimal Policy Synthesis from A Sequence of Goal Sets with An Application to Electric Distribution System Restoration
Isik, Ilker; Arpalı, Onur Yigit; Aydın Göl, Ebru (2021-01-01)
Motivated by the post-disaster distribution system restoration problem, in this paper, we study the problem of synthesizing the optimal policy for a Markov Decision Process (MDP) from a sequence of goal sets. For each goal...
Management of Complex and Fuzzy Queries Using a Fuzzy SOLAP-Based Framework
Keskin, Sinan; Yazıcı, Adnan (2021-01-01)
With the use of data warehouses, the need for faster access and analysis to historical and multidimensional data has arisen. Online analytical processing (OLAP), developed for this purpose, has provided suitable data struc...
Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection
Alamri, Faisal; Kalkan, Sinan; Pugeault, Nicolas (2021-01-01)
Deep neural network approaches have demonstrated high performance in object recognition (CNN) and detection (Faster-RCNN) tasks, but experiments have shown that such architectures are vulnerable to adversarial attacks (FFF...
Red Carpet to Fight Club: Partially-supervised Domain Transfer for Face Recognition in Violent Videos
Bilge, Yunus Can; Yucel, Mehmet Kerim; Cinbiş, Ramazan Gökberk; İKİZLER CİNBİŞ, NAZLI; DUYGULU ŞAHİN, PINAR (2021-01-01)
In many real-world problems, there is typically a large discrepancy between the characteristics of data used in training versus deployment. A prime example is the analysis of aggression videos: in a criminal incidence, typ...
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