A. Murat Ozbayoglu
Cited by
Cited by
Financial time series forecasting with deep learning: A systematic literature review: 2005–2019
OB Sezer, MU Gudelek, AM Ozbayoglu
Applied soft computing 90, 106181, 2020
Context-aware computing, learning, and big data in internet of things: a survey
OB Sezer, E Dogdu, AM Ozbayoglu
IEEE Internet of Things Journal 5 (1), 1-27, 2018
Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach
OB Sezer, AM Ozbayoglu
Applied Soft Computing 70, 525-538, 2018
Deep Convolutional Autoencoder for Radar-Based Classification of Similar Aided and Unaided Human Activities
MS Seyfioglu, AM Ozbayoglu, SZ Gurbuz
IEEE Transactions on Aerospace and Electronic Systems, 2018
Deep learning for financial applications: A survey
AM Ozbayoglu, MU Gudelek, OB Sezer
Applied Soft Computing 93, 106384, 2020
Review of tool condition monitoring in machining and opportunities for deep learning
G Serin, B Sener, AM Ozbayoglu, HO Unver
The International Journal of Advanced Manufacturing Technology 109, 953-974, 2020
A deep learning based stock trading model with 2-D CNN trend detection
MU Gudelek, SA Boluk, AM Ozbayoglu
2017 IEEE symposium series on computational intelligence (SSCI), 1-8, 2017
A Deep Neural-Network Based Stock Trading System Based on Evolutionary Optimized Technical Analysis Parameters
OB Sezer, M Ozbayoglu, E Dogdu
Procedia Computer Science 114, 473-480, 2017
A real-time autonomous highway accident detection model based on big data processing and computational intelligence
M Ozbayoglu, G Kucukayan, E Dogdu
2016 IEEE international conference on big data (Big Data), 1807-1813, 2016
Weather Data Analysis and Sensor Fault Detection Using An Extended IoT Framework with Semantics, Big Data, and Machine Learning
AC Onal, OB Sezer, M Ozbayoglu, E Dogdu
2017 IEEE International Conference on Big Data, 2017
An artificial neural network-based stock trading system using technical analysis and big data framework
OB Sezer, AM Ozbayoglu, E Dogdu
proceedings of the southeast conference, 223-226, 2017
Estimation of the burned area in forest fires using computational intelligence techniques
AM Özbayoğlu, R Bozer
Procedia Computer Science 12, 282-287, 2012
Deep learning of micro-Doppler features for aided and unaided gait recognition
MS Seyfioğlu, SZ Gürbüz, AM Özbayoğlu, M Yüksel
Radar Conference (RadarConf), 2017 IEEE, 1125-1130, 2017
Estimation of Hardgrove grindability index of Turkish coals by neural networks
G Özbayoğlu, AM Özbayoğlu, ME Özbayoğlu
International Journal of Mineral Processing 85 (4), 93-100, 2008
Financial trading model with stock bar chart image time series with deep convolutional neural networks
OB Sezer, AM Ozbayoglu
Intelligent Automation and Soft Computing 26 (2), 323-334, 2020
Automated generation of attack graphs using NVD
MU Aksu, K Bicakci, MH Dilek, AM Ozbayoglu, E Tatli
Proceedings of the Eighth ACM Conference on Data and Application Security …, 2018
An extended iot framework with semantics, big data, and analytics
OB Sezer, E Dogdu, M Ozbayoglu, A Onal
2016 IEEE international conference on big data (big data), 1849-1856, 2016
Automated vehicle classification with image processing and computational intelligence
SS Sarikan, AM Ozbayoglu, O Zilci
Procedia Computer Science 114, 515-522, 2017
A novel chatter detection method for milling using deep convolution neural networks
B Sener, MU Gudelek, AM Ozbayoglu, HO Unver
Measurement 182, 109689, 2021
Neural network based instant parameter prediction for wireless sensor network optimization models
A Akbas, HU Yildiz, AM Ozbayoglu, B Tavli
Wireless Networks 25, 3405-3418, 2019
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