U. Baloglu

发表

Assessment of Supervised Learning Algorithms for Irony Detection in Online Social Media

Bilal Alatas, Ulas Baran Baloglu, Harun Bingol, 2019, 2019 1st International Informatics and Software Engineering Conference (UBMYK).

Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals

U. Rajendra Acharya, Galip Aydin, Ulas Baran Baloglu, 2019, Comput. Biol. Medicine.

International Journal of Smart Grid and Clean Energy A bayesian game-theoretic demand response model for the smart grid

Y. Demir, U. Baloglu, 2015 .

A fuzzy queueing based model for controlling power demand of electric vehicle charging

U. Baloglu, Munzur, 2017 .

Causal Loop Mapping of Emerging Energy Systems in Project TwinERGY: Towards Consumer Engagement with Group Model Building

T. Tryfonas, U. Baloglu, S. Gunner, 2022, PETRA.

type classification with optimized

U. Baloglu, Özal Yildirim, 2022 .

Computational and experimental study of aerosol dispersion in a ventilated room

U. Baloglu, Y. Hardalupas, Henry E. Symons, 2022, Aerosol Science and Technology.

A deep convolutional neural network model for automated identification of abnormal EEG signals

U. Acharya, U. Baloglu, Özal Yıldırım, 2018, Neural Computing and Applications.

Classification of myocardial infarction with multi-lead ECG signals and deep CNN

U. Rajendra Acharya, Ru San Tan, Ulas Baran Baloglu, 2019, Pattern Recognit. Lett..

Convolutional neural networks for multi-class brain disease detection using MRI images

U. Rajendra Acharya, Galip Aydin, Ulas Baran Baloglu, 2019, Comput. Medical Imaging Graph..

Application of deep transfer learning for automated brain abnormality classification using MR images

U. Rajendra Acharya, Ulas Baran Baloglu, Özal Yildirim, 2019, Cognitive Systems Research.

Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review

U. Rajendra Acharya, Ulas Baran Baloglu, Özal Yildirim, 2020, Comput. Biol. Medicine.

Automated detection of COVID-19 cases using deep neural networks with X-ray images

U. Rajendra Acharya, Ulas Baran Baloglu, Özal Yildirim, 2020, Computers in Biology and Medicine.

REGP: A NEW POOLING ALGORITHM FOR DEEP CONVOLUTIONAL NEURAL NETWORKS

Ulas Baran Baloglu, Ozal Yildirim, Ozal Yildirim, 2019, Neural Network World.

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 Deep Learning Model for Automated Sleep Stages Classification Using PSG Signals

U Rajendra Acharya, Ulas Baran Baloglu, Ozal Yildirim, 2019, International journal of environmental research and public health.

Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals

U. Rajendra Acharya, Galip Aydin, Ulas Baran Baloglu, 2019, Journal of Medical Systems.

A new approach for arrhythmia classification using deep coded features and LSTM networks

U. Rajendra Acharya, Edward J. Ciaccio, Ru San Tan, 2019, Comput. Methods Programs Biomed..

A deep convolutional neural network model for automated identification of abnormal EEG signals

U. Rajendra Acharya, Özal Yıldırım, Ulas Baran Baloglu, 2018, Neural Computing and Applications.

CONVOLUTIONAL LONG-SHORT TERM MEMORY NETWORKS MODEL FOR LONG DURATION EEG SIGNAL CLASSIFICATION

Ulas Baran Baloglu, Ozal Yildirim, Ozal Yildirim, 2019, Journal of Mechanics in Medicine and Biology.

Economic Analysis of Hybrid Renewable Energy Systems with V2G Integration Considering Battery Life

Ulas Baran Baloglu, Yakup Demir, Y. Demir, 2017 .

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.

Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals

Subha D. Puthankattil, U. Acharya, Ozal Yildirim, 2019, Journal of Medical Systems.

Texture Classification System Based on 2D-DOST Feature Extraction Method and LS-SVM Classifier

Özal Yildirim, Ulaş Baran Baloğlu, U. Baloglu, 2017 .

Heartbeat type classification with optimized feature vectors

Ulas Baran Baloglu, Ozal Yildirim, Ozal Yildirim, 2018 .