Department of Computer Engineering, Conference / Seminar

Search within this collection:


Entity Type
Publication (998)

Has File(s)
No (876)
Yes (122)

Karagöz, Pınar (85)
Yazıcı, Adnan (73)
Yarman Vural, Fatoş Tunay (62)
Oğuztüzün, Mehmet Halit S. (59)
Altıngövde, İsmail Sengör (57)

Data mining (22)
Feature extraction (18)
Wireless sensor networks (15)
Computational modeling (14)
Machine learning (14)

Date Issued
1991 - 1999 (58)
2000 - 2009 (287)
2010 - 2019 (575)
2020 - 2022 (77)

Item Type
Conference Paper (897)
Presentation (4)
Poster (2)
Article (1)
Workshop (1)

Recent Submissions

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)
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...
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...
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...
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...
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...
MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation
Amac, Mustafa Sercan; Sencan, Ahmet; Baran, Orhun Buğra; Ikizler-Cinbis, Nazli; Cinbiş, Ramazan Gökberk (2022-01-01)
Just like other few-shot learning problems, few-shot segmentation aims to minimize the need for manual annotation, which is particularly costly in segmentation tasks. Even though the few-shot setting reduces this cost for ...
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...
AI-based Air-to-Surface Mission Planning using Predictive Launch Acceptability Region Approach
Ozdemir, Mustafa Rasit; Cevher, Levent; Ertekin Bolelli, Şeyda (2021-06-08)
© 2021 IEEE.In this paper, a dynamic air-to-surface mission planning strategy based on artificial intelligence (AI) is proposed for targets of opportunity in order to guide the pilot to follow the shortest and safest traje...
Efficient Network Monitoring via In-band Telemetry
Simsek, Goksel; Ergenc, Doganalp; Onur, Ertan (2021-04-19)
© 2021 IEEE.Network monitoring is one of the key aspects to ensure communication reliability in case of failures and malicious activities and has several design issues depending on the system characteristics. As traditiona...
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...
Citation Formats