Aysegül Uçar
Orcid: 0000-0002-5253-3779
According to our database1,
Aysegül Uçar
authored at least 24 papers
between 1999 and 2024.
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Bibliography
2024
Advancements in Deep Reinforcement Learning and Inverse Reinforcement Learning for Robotic Manipulation: Toward Trustworthy, Interpretable, and Explainable Artificial Intelligence.
IEEE Access, 2024
An Efficient and Robust Approach Using Inductive Transfer-Based Ensemble Deep Neural Networks for Kidney Stone Detection.
IEEE Access, 2024
2023
Development of a deep wavelet pyramid scene parsing semantic segmentation network for scene perception in indoor environments.
J. Ambient Intell. Humaniz. Comput., 2023
2022
New convolutional neural network models for efficient object recognition with humanoid robots.
J. Inf. Telecommun., 2022
New CNN and hybrid CNN-LSTM models for learning object manipulation of humanoid robots from demonstration.
Clust. Comput., 2022
2021
IEEE Access Special Section Editorial: Real-Time Machine Learning Applications in Mobile Robotics.
IEEE Access, 2021
Learning to Move an Object by the Humanoid Robots by Using Deep Reinforcement Learning.
Proceedings of the Intelligent Environments 2021, 2021
2020
Skin lesion segmentation using fully convolutional networks: A comparative experimental study.
Expert Syst. Appl., 2020
Fast Object Recognition for Humanoid Robots by Using Deep Learning Models with Small Structure.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2020
End-To-End Learning from Demonstation for Object Manipulation of Robotis-Op3 Humanoid Robot.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2020
2019
An Implementation of Vision Based Deep Reinforcement Learning for Humanoid Robot Locomotion.
Proceedings of the IEEE International Symposium on INnovations in Intelligent SysTems and Applications, 2019
A Brief Survey and an Application of Semantic Image Segmentation for Autonomous Driving.
Proceedings of the Handbook of Deep Learning Applications., 2019
2017
Object recognition and detection with deep learning for autonomous driving applications.
Simul., 2017
Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017
2016
A new facial expression recognition based on curvelet transform and online sequential extreme learning machine initialized with spherical clustering.
Neural Comput. Appl., 2016
The determination and analysis of factors affecting to student learning by artificial intelligence in higher education.
Proceedings of the 15th International Conference on Information Technology Based Higher Education and Training, 2016
Project based learning using student clubs and short online videos, in-class activities.
Proceedings of the 15th International Conference on Information Technology Based Higher Education and Training, 2016
Moving towards in object recognition with deep learning for autonomous driving applications.
Proceedings of the International Symposium on INnovations in Intelligent SysTems and Applications, 2016
2015
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
2005
Proceedings of the Artificial Intelligence and Neural Networks, 14th Turkish Symposium, 2005
2003
J. Frankl. Inst., 2003
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
2000
Proceedings of the 2000 7th IEEE International Conference on Electronics, 2000
1999
Effects of delay on the dynamical behaviour of one-dimensional continuous nonlinear systems.
Proceedings of the 6th IEEE International Conference on Electronics, Circuits and Systems, 1999