A. Uçar

发表

AN OVERVIEW OF POPULAR DEEP LEARNING METHODS

Ozal Yildirim, Y. Demir, Musab Coşkun, 2017 .

Development of a deep wavelet pyramid scene parsing semantic segmentation network for scene perception in indoor environments

Simge Nur Aslan, C. Güzelı̇ş, A. Uçar, 2022, Journal of Ambient Intelligence and Humanized Computing.

The determination and analysis of factors affecting to student learning by artificial intelligence in higher education

Mehmet Karaköse, Aysegül Uçar, Nigar Ozbey, 2016, International Conference on Information Technology Based Higher Education and Training.

Wavelet-based feature extraction and selection for classification of power system disturbances using support vector machines

Ayşegül Uçar, Yakup Demir, Huseyin Eristi, 2010 .

Person Recognition via Facial Expression Using ELM Classifier Based CNN Feature Maps

Ulas Baran Baloglu, Ayşegül Uçar, Ozal Yildirim, 2017, Proceedings in Adaptation, Learning and Optimization.

A penalty function method for designing efficient robust classifiers with input space optimal separating surfaces

Yakup Demir, Ayşegül Uçar, Cüneyt Güzeliş, 2014 .

A New Formulation for Classification by Ellipsoids

Cüneyt Güzelis, Yakup Demir, Aysegül Uçar, 2005, TAINN.

A robust model-based control for uncertain systems

Serdar Ethem Hamamci, A. Ucar, A. Uçar, 2002 .

Object recognition and detection with deep learning for autonomous driving applications

Cüneyt Güzelis, Yakup Demir, Aysegül Uçar, 2017, Simul..

Gesture imitation and recognition using Kinect sensor and extreme learning machines

Ayşegül Uçar, Emrehan Yavşan, A. Uçar, 2016 .

A Brief Survey and an Application of Semantic Image Segmentation for Autonomous Driving

Çagri Kaymak, Aysegül Uçar, A. Uçar, 2018, Handbook of Deep Learning Applications.

A new facial expression recognition based on curvelet transform and online sequential extreme learning machine initialized with spherical clustering

Cüneyt Güzelis, Yakup Demir, Aysegül Uçar, 2014, Neural Computing and Applications.

Color Face Recognition Based on Curvelet Transform Ayşegül UÇAR

A. Uçar, Ayşegül UÇAR, 2012 .

Skin lesion segmentation using fully convolutional networks: A comparative experimental study

Aysegül Uçar, Çagri Kaymak, Ruya Kaymak, 2020, Expert Syst. Appl..

Face recognition based on convolutional neural network

Özal Yildirim, Yakup Demir, Ayşegül Uçar, 2017, 2017 International Conference on Modern Electrical and Energy Systems (MEES).

A new facial expression recognition based on curvelet transform and online sequential extreme learning machine initialized with spherical clustering

Y. Demir, C. Güzelı̇ş, A. Uçar, 2014, Neural Computing and Applications.

Recognition of Real-World Texture Images Under Challenging Conditions With Deep Learning

Ozal Yildirim, U. Baloglu, A. Uçar, 2018, Journal of Intelligent Systems with Applications.

Implementation of Object Detection and Recognition Algorithms on a Robotic Arm Platform Using Raspberry Pi

Cagri KAYMAK, Aysegul UCAR, A. Uçar, 2018, 2018 International Conference on Artificial Intelligence and Data Processing (IDAP).

New CNN and hybrid CNN-LSTM models for learning object manipulation of humanoid robots from demonstration

Ayşegül Uçar, Simge Nur Aslan, Cüneyt Güzeliş, 2021, Cluster Computing.

Fuzzy Model Identification Using Support Vector Clustering Method

Cüneyt Güzelis, Yakup Demir, Aysegül Uçar, 2003, ICANN.

A Review of Deep Reinforcement Learning Algorithms and Comparative Results on Inverted Pendulum System

Ayşegül Uçar, Burak Tasci, Recep Özalp, 2020, Learning and Analytics in Intelligent Systems.

Efficient android electronic nose design for recognition and perception of fruit odors using Kernel Extreme Learning Machines

Ayşegül Uçar, Recep Özalp, A. Uçar, 2017 .

Development of Deep Learning Algorithm for Humanoid Robots to Walk to the Target Using Semantic Segmentation and Deep Q Network

Ayşegül Uçar, Simge Nur Aslan, Cüneyt Güzeliş, 2020, 2020 Innovations in Intelligent Systems and Applications Conference (ASYU).

Color Face Recognition Based on Steerable Pyramid Transform and Extreme Learning Machines

Ayşegül Uçar, A. Uçar, 2014, TheScientificWorldJournal.

APPLICATION OF A NEURO-FUZZY NETWORK WITH SUPPORT VECTOR LEARNING TO A SOLAR POWER PLANT

A. Dourado, Y. Demir, C. Güzelı̇ş, 2002 .