Effects of delay on the dynamical behaviour of one-dimensional continuous nonlinear systems. - Aysegül Uçar (ICECS, 1999)

A controller based on coefficient diagram method for the robotic manipulators. - Aysegül Uçar; Serdar Ethem Hamamci (ICECS, 2000)

Fuzzy Model Identification Using Support Vector Clustering Method. - Aysegül Uçar; Yakup Demir; Cüneyt Güzelis (ICANN, 2003)

The solutions of vibration control problems using artificial neural networks. - Hasan Alli; Aysegül Uçar; Yakup Demir (J. Frankl. Inst., 2003)

A New Formulation for Classification by Ellipsoids. - Aysegül Uçar; Yakup Demir; Cüneyt Güzelis (TAINN, 2005)

Teaching human gestures to humanoid robots by using Kinect sensor. - Emrehan Yavsan; Aysegül Uçar (SIU, 2015)

Moving towards in object recognition with deep learning for autonomous driving applications. - Aysegül Uçar; Yakup Demir; Cüneyt Güzelis (INISTA, 2016)

Project based learning using student clubs and short online videos, in-class activities. - Yakup Demir; Aysegül Uçar (ITHET, 2016)

The determination and analysis of factors affecting to student learning by artificial intelligence in higher education. - Nigar Ozbey; Mehmet Karaköse; Aysegül Uçar (ITHET, 2016)

A new facial expression recognition based on curvelet transform and online sequential extreme learning machine initialized with spherical clustering. - Aysegül Uçar; Yakup Demir; Cüneyt Güzelis (Neural Comput. Appl., 2016)

Deep Convolutional Neural Networks for facial expression recognition. - Aysegül Uçar (INISTA, 2017)

Object recognition and detection with deep learning for autonomous driving applications. - Aysegül Uçar; Yakup Demir; Cüneyt Güzelis (Simul., 2017)

A Brief Survey and an Application of Semantic Image Segmentation for Autonomous Driving. - Çagri Kaymak; Aysegül Uçar (Handbook of Deep Learning Applications, 2019)

An Implementation of Vision Based Deep Reinforcement Learning for Humanoid Robot Locomotion. - Recen Özaln; Çagri Kaymak; Özal Yildirim; Aysegül Uçar; Yakup Demir; Cüneyt Güzelis (INISTA, 2019)

End-To-End Learning from Demonstation for Object Manipulation of Robotis-Op3 Humanoid Robot. - Simge Nur Aslan; Recep Ozalp; Aysegül Uçar; Cüneyt Güzelis (INISTA, 2020)

Fast Object Recognition for Humanoid Robots by Using Deep Learning Models with Small Structure. - Simge Nur Aslan; Aysegül Uçar; Cüneyt Güzelis (INISTA, 2020)

Skin lesion segmentation using fully convolutional networks: A comparative experimental study. - Ruya Kaymak; Çagri Kaymak; Aysegül Uçar (Expert Syst. Appl., 2020)

Learning to Move an Object by the Humanoid Robots by Using Deep Reinforcement Learning. - Simge Nur Aslan; Burak Tasçi; Aysegül Uçar; Cüneyt Güzelis (Intelligent Environments (Workshops), 2021)

IEEE Access Special Section Editorial: Real-Time Machine Learning Applications in Mobile Robotics. - Aysegül Uçar; Jessy W. Grizzle; Maani Ghaffari; Mattias Wahde; H. Levent Akin; Jacky Baltes; H. Isil Bozma; Jaime Valls Miró (IEEE Access, 2021)

New CNN and hybrid CNN-LSTM models for learning object manipulation of humanoid robots from demonstration. - Simge Nur Aslan; Recep Ozalp; Aysegül Uçar; Cüneyt Güzelis (Clust. Comput., 2022)

New convolutional neural network models for efficient object recognition with humanoid robots. - Simge Nur Aslan; Aysegül Uçar; Cüneyt Güzelis (J. Inf. Telecommun., 2022)

Development of a deep wavelet pyramid scene parsing semantic segmentation network for scene perception in indoor environments. - Simge Nur Aslan; Aysegül Uçar; Cüneyt Güzelis (J. Ambient Intell. Humaniz. Comput., 2023)

An Efficient and Robust Approach Using Inductive Transfer-Based Ensemble Deep Neural Networks for Kidney Stone Detection. - Jyotismita Chaki; Aysegül Uçar (IEEE Access, 2024)

Advancements in Deep Reinforcement Learning and Inverse Reinforcement Learning for Robotic Manipulation: Toward Trustworthy, Interpretable, and Explainable Artificial Intelligence. - Recep Ozalp; Aysegül Uçar; Cüneyt Güzelis (IEEE Access, 2024)

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis. - Aysegül Uçar; Soumik Nayak; Anunak Roy; Burak Tasci; Gulay Tasci (CoRR, 2025)

Fine-Tuning Florence2 for Enhanced Object Detection in Un-constructed Environments: Vision-Language Model Approach. - Soumyadeep Ro; Sanapala Satwika; Pamarthi Yasoda Gayathri; Mohmmad Ghaith Balsha; Aysegül Uçar (CoRR, 2025)