Department of Computer Engineering

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Entity Type
Publication (1853)
Thesis (1156)
Project (92)
Open Course (11)

Has File(s)
No (1694)
Yes (1418)

Karagöz, Pınar (151)
Yazıcı, Adnan (143)
Polat, Faruk (99)
Oğuztüzün, Mehmet Halit S. (98)
Yarman Vural, Fatoş Tunay (91)

Software (103)
Computer enginnering. (101)
Artificial Intelligence (74)
Computer software. (72)
Computer Science Applications (69)

Date Issued
1972 - 1979 (22)
1980 - 1999 (462)
2000 - 2019 (2315)
2020 - 2023 (311)

Item Type
Master Thesis (986)
Conference Paper (920)
Journal Article (628)
Ph.D. Thesis (169)
Book Chapter (56)

Recent Submissions

Trust-aware location recommendation in location-based social networks: A graph-based approach
Canturk, Deniz; Karagöz, Pınar; Kim, Sang-Wook; Toroslu, İsmail Hakkı (2023-03-01)
© 2022 Elsevier LtdWith the increase in the use of mobile devices having location-related capabilities, the use of Location-Based Social Networks (LBSN) has also increased, allowing users to share location-embedded informa...
FSOLAP: A fuzzy logic-based spatial OLAP framework for effective predictive analytics
Keskin, Sinan; Yazıcı, Adnan (2023-03-01)
Nowadays, with the rise in sensor technology, the amount of spatial and temporal data increases day by day. Fast, effective, and accurate analysis and prediction of collected data have become more essential than ever. Spat...
Attentive Sequential Auto-Encoding Towards Unsupervised Object-centric Scene Modeling
ÇETİN, YARKIN DENİZ; Cinbiş, Ramazan Gökberk (2022-12-01)
Deep generation of 3D articulated models and animations from 2D stick figures
Akman, Alican; Sahillioğlu, Yusuf; Sezgin, T. Metin (2022-12-01)
Generating 3D models from 2D images or sketches is a widely studied important problem in computer graphics. We describe the first method to generate a 3D human model from a single sketched stick figure. In contrast to the ...
A RoBERTa Approach for Automated Processing of Sustainability Reports
Angin, Merih; Taşdemir, Beyza; Yılmaz, Cenk Arda; Demiralp, Gökcan; Atay, Mert; Angın, Pelin; Dikmener, Gökhan (2022-12-01)
There is a strong need and demand from the United Nations, public institutions, and the private sector for classifying government publications, policy briefs, academic literature, and corporate social responsibility report...
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...
Erişime Açık Terörizm Veri Kümeleri Kullanarak Makine Öğrenmesi ve Büyük Veri Mimarileri ile Terörle Mücadeleye Yönelik Tahminleme Yaklaşımları
Adıgüzel, Fatih; Dereli, Caner; Karagöz, Pınar (2022-11-01)
Semantics-driven attentive few-shot learning over clean and noisy samples
Baran, Orhun Buğra; Cinbiş, Ramazan Gökberk (2022-11-01)
Over the last couple of years, few-shot learning (FSL) has attracted significant attention towards minimiz-ing the dependency on labeled training examples. An inherent difficulty in FSL is handling ambiguities resulting fr...
Trust-aware location recommendation for user groups
Teoman, Hüseyin Alper; Karagöz, Pınar (2022-11-01)
MSDeveloper: A Variability-Guided Methodology for Microservice-Based Development
Dolu, Betul Kuruoglu; Çetinkaya, Anıl; Kaya, Muhammed Çağrı; Nazlioglu, Selma; Dogru, Ali H. (2022-11-01)
This article presents a microservice-based development approach, MSDeveloper (Microservices Developer), employing variability management for product configuration through a low-code development environment. The purpose of ...
Automated accurate emotion classification using Clefia pattern-based features with EEG signals
Doğan, Abdullah; Barua, Prabal Datta; BAYĞIN, MEHMET; Tuncer, Turker; DOĞAN, ŞENGÜL; YAMAN, ORHAN; Doğru, Ali Hikmet; Acharya, Rajendra U. (2022-11-01)
Background: The electroencephalogram (EEG) emotion classification/recognition is one of the popular issues for advanced signal classification. However, it is difficult to manually screen the EEG signals as they are highly ...
FOREWORD Special Section on Next-generation Security Applications and Practice
Shin, SeongHan; et. al. (2022-11-01)
3D Shape Deformation Using Stick Figures
Seylan, Çağlar; Sahillioğlu, Yusuf (2022-10-01)
Obtaining new poses of an articulated character is a critical task in computer graphics. We address this issue with a new shape deformation approach consisting of two phases enabling the user to express the new pose as a s...
COVID-19 forecasting using shifted Gaussian Mixture Model with similarity-based estimation
Külah, Emre; Çetinkaya, Yusuf Mucahit; Özer, Arif Görkem; Alemdar, HANDE (2022-10-01)
The COVID-19 pandemic has caused a pronounced disturbance in the social environments and economies of many countries worldwide. Credible forecasting methods to predict the pandemic’s progress can allow countries to control...
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)
Explicit and Implicit Trust Modeling for Recommendation
Demirci, Utku; Karagöz, Pınar (2022-09-01)
Extracting process hierarchies by multi-sequence alignment adaptations
Esgin, Eren; Karagöz, Pınar (2022-09-01)
1174: futuristic trends and innovations in multimedia systems using big data, IoT and cloud technologies (FTIMS)
Singh, Pradeep Kumar; Bhargava, Bharat; Hong, Wei-Chiang; Angın, Pelin (2022-09-01)
Learning to play an imperfect information card game using reinforcement learning
Alpaslan, Ferda Nur; Baykal, Ömer; Demirdöver, Buğra Kaan (2022-08-01)
Artificial intelligence and machine learning are widely popular in many areas. One of the most popular ones is gaming. Games are perfect testbeds for machine learning and artificial intelligence with various scenarios and ...
Using chains of bottleneck transitions to decompose and solve reinforcement learning tasks with hidden states
Aydın, Hüseyin; Çilden, Erkin; Polat, Faruk (2022-08-01)
Reinforcement learning is known to underperform in large and ambiguous problem domains under partial observability. In such cases, a proper decomposition of the task can improve and accelerate the learning process. Even am...
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