Üstünkök, Tolga

Profile Picture
Profile URL
https://hdl.handle.net/20.500.14411/8439
Name Variants
Tolga, Üstünkök
T.,Ustunkok
Tolga, Ustunkok
U.,Tolga
T.,Üstünkök
Ustunkok, Tolga
Ustunkok,T.
Üstünkök, Tolga
Ü.,Tolga
Üstünkök,T.
U., Tolga
T., Ustunkok
Job Title
Araştırma Görevlisi
Email Address
tolga.ustunkok@atilim.edu.tr
Main Affiliation
Software Engineering
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
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QUALITY EDUCATION4
QUALITY EDUCATION
0
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GENDER EQUALITY5
GENDER EQUALITY
0
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
0
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DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
0
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
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SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
1
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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CLIMATE ACTION13
CLIMATE ACTION
0
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LIFE BELOW WATER14
LIFE BELOW WATER
0
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LIFE ON LAND15
LIFE ON LAND
0
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PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output

6

Articles

1

Views / Downloads

35/91

Supervised MSc Theses

1

Supervised PhD Theses

0

WoS Citation Count

1

Scopus Citation Count

8

Patents

0

Projects

0

WoS Citations per Publication

0.17

Scopus Citations per Publication

1.33

Open Access Source

0

Supervised Theses

1

JournalCount
1st International Informatics and Software Engineering Conference: Innovative Technologies for Digital Transformation, IISEC 2019 - Proceedings -- 1st International Informatics and Software Engineering Conference, IISEC 2019 -- 6 November 2019 through 7 November 2019 -- Ankara -- 1571112
3rd International Conference on Computer Science and Engineering (UBMK) -- SEP 20-23, 2018 -- Sarajevo, BOSNIA & HERCEG1
Journal of Applied Remote Sensing1
UBMK 2018 - 3rd International Conference on Computer Science and Engineering -- 3rd International Conference on Computer Science and Engineering, UBMK 2018 -- 20 September 2018 through 23 September 2018 -- Sarajevo -- 1435601
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Scopus Quartile Distribution

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Scholarly Output Search Results

Now showing 1 - 6 of 6
  • Thumbnail Image
    Conference Object
    Informatics Engineering Education in Turkey and Expectations of Software Industry;
    (Institute of Electrical and Electronics Engineers Inc., 2018) Yazici,A.; Mishra,A.; Karakaya,Z.; Ustunkok,T.
    In this study, using the ÖSYM data, the number of intakes in Informatics Engineering programs in Turkey, accreditation data and the medium of instruction of the program are summarized for the years 2016 and 2017. In addition, the software sector's expectations from the informatics engineering graduates are reassessed based on the academic studies. The developed knowledge-skill gap set was used to evaluate the situation in Turkish informatics engineering programs. Sector expectations are discussed in the context of 2017-2019 Turkey Software Sector Strategy and Action Plan prepared by the Ministry of Science, Industry and Technology of Turkey and some proposals are made for the academia. As a result, it was observed that the expectations of the software industry were similar in all studies. Additionally, the expectations were changed in the direction of developing technologies and this change should be reflected in the informatics engineering programs. © 2018 IEEE.
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    Master Thesis
    Ss-mla: Uzaktan Algılamalı Görüntülerin Çok Etiketli Sınıflandırması için Yeni Bir Çözüm
    (2021) Üstünkök, Tolga; Karakaya, Kasım Murat
    Uzaktan algılanan görüntülerin çok etiketli sınıflandırması çok önemli bir araştırma alanıdır. Kentsel büyümeyi izlemekten askeri gözetlemeye kadar birçok uygulamaya sahiptir. Uzaktan algılanan görüntülerin çok etiketli sınıflandırması için birçok algoritma ve yöntem önerilmiştir. Bu tezde iki yaklaşım sunulmaktadır. İlki, küçük veri kümelerinde karmaşık yöntemlerin daha basit olanlara göre avantajı olmadığını gösteren CNN tabanlı basit bir modeldir. İkincisi, uzaktan algılanan görüntülerin çoklu etiketli sınıflandırması için Semi-Supervised Multi-Label Annotizer (SS-MLA) adı verilen rekabetçi bir Vector-Quantized Temporal Associative Memory (VQTAM) tabanlı yöntemdir. İlk yöntem, uzaktan algılanmış dört farklı veri kümesi üzerinde F1-Skorlarına göre literatürdeki diğer son teknoloji yöntemlerle ve SS-MLA ile karşılaştırılmıştır. Deney sonuçları, yeni bir yaklaşım olarak SS-MLA'nın, karşılaştırmaların yarısından ve önerilen basit yöntemden daha iyi sonuçlar verdiğini göstermektedir. Algoritma ve yöntemlerin tüm uygulamaları için Python 3.8 ortamında Tensorflow-GPU 2.4.0 ve Numpy 1.19.5 çerçeveleri kullanılmıştır.
  • Thumbnail Image
    Article
    Citation - WoS: 1
    Citation - Scopus: 2
    Ss-Mla: a Semisupervised Method for Multi-Label Annotation of Remotely Sensed Images
    (SPIE, 2021) Üstünkök,T.; Karakaya,M.
    Recent technological advancements in satellite imagery have increased the production of remotely sensed images. Therefore, developing efficient methods for annotating these images has gained popularity. Most of the current state-of-the-art methods are based on supervised machine learning techniques. We propose a method called semisupervised multi-label annotizer (SS-MLA) that adapts vector-quantized temporal associative memory to annotate remotely sensed images. One of the advantages of SS-MLA over the supervised methods is that it extracts features not only from the given sample but also from similar samples that are previously seen without using an explicit attention mechanism. Thus SS-MLA enhances the learning efficiency of the training process. We conduct extensive performance comparisons with five different methods in the literature over four datasets. The comparison results indicate the success of the proposed method over the existing ones: SS-MLA generates the best results in 7 out of 11 comparisons. © 2021 Society of Photo-Optical Instrumentation Engineers (SPIE).
  • Thumbnail Image
    Conference Object
    Informatics Engineering Education in Turkey and Expectations of Software Industry
    (Ieee, 2018) Yazici, Ali; Mishra, Alok; Karakaya, Ziya; Ustunkok, Tolga
    In this study, using the OSYM data, the number of intakes in Informatics Engineering programs in Turkey, accreditation data and the medium of instruction of the program are summarized for the years 2016 and 2017. In addition, the software sector's expectations from the informatics engineering graduates are reassessed based on the academic studies. The developed knowledge-skill gap set was used to evaluate the situation in Turkish informatics engineering programs. Sector expectations are discussed in the context of 2017-2019 Turkey Software Sector Strategy and Action Plan prepared by the Ministry of Science, Industry and Technology of Turkey and some proposals are made for the academia. As a result, it was observed that the expectations of the software industry were similar in all studies. Additionally, the expectations were changed in the direction of developing technologies and this change should be reflected in the informatics engineering programs.
  • Thumbnail Image
    Conference Object
    Citation - Scopus: 4
    Effect of Pso Tuned P, Pd, and Pid Controllers on the Stability of a Quadrotor
    (Institute of Electrical and Electronics Engineers Inc., 2019) Ustunkok,T.; Karakaya,M.
    Many popular quadrotor controllers are based on PID controllers. This study compares the behavior of a quadrotor when its controller is the proportional (P) only, proportional (P) and derivative (D), and all terms of the PID controller which is tuned by a Particle Swarm Optimization (PSO) implementation. A P, PD, and PID controller integrated quadrotor model is used with realistic parameters while conducting experiments in simulation. Our goal is to find out if it is worth to use PID or some of its terms is enough to get a stable system. According to the preliminary results of the experiments, the statistical difference of results shows that PID is better than both P and PD for the given model. © 2019 IEEE.
  • Thumbnail Image
    Conference Object
    Citation - Scopus: 2
    Image Tag Refinement With Self Organizing Maps
    (Institute of Electrical and Electronics Engineers Inc., 2019) Ustunkok,T.; Acar,O.C.; Karakaya,M.
    Nowadays, data sharing has become faster than ever. This speed demands novel search methods. Most popular way of accessing the data is to search its tag. Therefore, creating tags, captions from an image is a research area that gains reputation rapidly. In this study, we aim to refine image captions by utilizing Self Organizing Maps. We extract image and caption pairs as feature vectors and then cluster those vectors. Vectors with similar content clustered close to each other. With the help of those clusters, we hope to get some relevant tags that do not exist in the original tags. We performed extensive experiments and presented our initial results. According to these results, the proposed model performs reasonably well with a 54% precision score. Finally, we conclude our work by providing a list of future work. © 2019 IEEE.