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Journal Articles
- 2024
[j10]Jyotismita Chaki
, Aysegül Uçar:
An Efficient and Robust Approach Using Inductive Transfer-Based Ensemble Deep Neural Networks for Kidney Stone Detection. IEEE Access 12: 32894-32910 (2024)- [j9]Recep Ozalp, Aysegül Uçar, Cüneyt Güzelis:
Advancements in Deep Reinforcement Learning and Inverse Reinforcement Learning for Robotic Manipulation: Toward Trustworthy, Interpretable, and Explainable Artificial Intelligence. IEEE Access 12: 51840-51858 (2024) - 2023
- [j8]Simge Nur Aslan, Aysegül Uçar, Cüneyt Güzelis:
Development of a deep wavelet pyramid scene parsing semantic segmentation network for scene perception in indoor environments. J. Ambient Intell. Humaniz. Comput. 14(9): 12673-12695 (2023) - 2022
- [j7]Simge Nur Aslan, Recep Ozalp, Aysegül Uçar, Cüneyt Güzelis:
New CNN and hybrid CNN-LSTM models for learning object manipulation of humanoid robots from demonstration. Clust. Comput. 25(3): 1575-1590 (2022) - [j6]Simge Nur Aslan, Aysegül Uçar, Cüneyt Güzelis:
New convolutional neural network models for efficient object recognition with humanoid robots. J. Inf. Telecommun. 6(1): 63-82 (2022) - 2021
- [j5]Aysegül Uçar, Jessy W. Grizzle, Maani Ghaffari, Mattias Wahde, H. Levent Akin, Jacky Baltes, H. Isil Bozma, Jaime Valls Miró:
IEEE Access Special Section Editorial: Real-Time Machine Learning Applications in Mobile Robotics. IEEE Access 9: 89694-89698 (2021) - 2020
- [j4]Ruya Kaymak, Çagri Kaymak, Aysegül Uçar:
Skin lesion segmentation using fully convolutional networks: A comparative experimental study. Expert Syst. Appl. 161: 113742 (2020) - 2017
- [j3]Aysegül Uçar, Yakup Demir, Cüneyt Güzelis:
Object recognition and detection with deep learning for autonomous driving applications. Simul. 93(9): 759-769 (2017) - 2016
- [j2]Aysegül Uçar, Yakup Demir, Cüneyt Güzelis:
A new facial expression recognition based on curvelet transform and online sequential extreme learning machine initialized with spherical clustering. Neural Comput. Appl. 27(1): 131-142 (2016) - 2003
- [j1]Hasan Alli, Aysegül Uçar, Yakup Demir:
The solutions of vibration control problems using artificial neural networks. J. Frankl. Inst. 340(5): 307-325 (2003)
Conference and Workshop Papers
- 2021
- [c13]Simge Nur Aslan, Burak Tasçi, Aysegül Uçar, Cüneyt Güzelis:
Learning to Move an Object by the Humanoid Robots by Using Deep Reinforcement Learning. Intelligent Environments (Workshops) 2021: 143-155 - 2020
- [c12]Simge Nur Aslan, Recep Ozalp, Aysegül Uçar, Cüneyt Güzelis:
End-To-End Learning from Demonstation for Object Manipulation of Robotis-Op3 Humanoid Robot. INISTA 2020: 1-6 - [c11]Simge Nur Aslan, Aysegül Uçar, Cüneyt Güzelis:
Fast Object Recognition for Humanoid Robots by Using Deep Learning Models with Small Structure. INISTA 2020: 1-7 - 2019
- [c10]Recen Özaln, Çagri Kaymak, Özal Yildirim, Aysegül Uçar, Yakup Demir, Cüneyt Güzelis:
An Implementation of Vision Based Deep Reinforcement Learning for Humanoid Robot Locomotion. INISTA 2019: 1-5 - 2017
- [c9]Aysegül Uçar:
Deep Convolutional Neural Networks for facial expression recognition. INISTA 2017: 371-375 - 2016
- [c8]Aysegül Uçar, Yakup Demir, Cüneyt Güzelis:
Moving towards in object recognition with deep learning for autonomous driving applications. INISTA 2016: 1-5 - [c7]Yakup Demir, Aysegül Uçar:
Project based learning using student clubs and short online videos, in-class activities. ITHET 2016: 1-5 - [c6]Nigar Ozbey, Mehmet Karaköse, Aysegül Uçar:
The determination and analysis of factors affecting to student learning by artificial intelligence in higher education. ITHET 2016: 1-6 - 2015
- [c5]Emrehan Yavsan, Aysegül Uçar:
Teaching human gestures to humanoid robots by using Kinect sensor. SIU 2015: 1208-1211 - 2005
- [c4]Aysegül Uçar, Yakup Demir, Cüneyt Güzelis:
A New Formulation for Classification by Ellipsoids. TAINN 2005: 100-106 - 2003
- [c3]Aysegül Uçar, Yakup Demir, Cüneyt Güzelis:
Fuzzy Model Identification Using Support Vector Clustering Method. ICANN 2003: 225-233 - 2000
- [c2]Aysegül Uçar, Serdar Ethem Hamamci:
A controller based on coefficient diagram method for the robotic manipulators. ICECS 2000: 777-780 - 1999
- [c1]Aysegül Uçar:
Effects of delay on the dynamical behaviour of one-dimensional continuous nonlinear systems. ICECS 1999: 933-935
Parts in Books or Collections
- 2019
- [p1]Çagri Kaymak, Aysegül Uçar:
A Brief Survey and an Application of Semantic Image Segmentation for Autonomous Driving. Handbook of Deep Learning Applications 2019: 161-200
Editorship
- 2024
- [e1]Costin Badica, Mirjana Ivanovic, Petia D. Koprinkova-Hristova, Florin Leon, Yannis Manolopoulos, Tülay Yildirim, Aysegül Uçar:
International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2024, Craiova, Romania, September 4-6, 2024. IEEE 2024, ISBN 979-8-3503-6813-0 [contents]
Coauthor Index
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last updated on 2024-10-04 20:58 CEST by the dblp team
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