activity
20172025
most citedAn Artificial Neural Network-based Stock Trading System Using Technical Analysis and Big Data Framework

45 citations · 61 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2025

Artificial Intelligence Based Predictive Maintenance for Electric Buses

Ayse Irmak Ercevik, Ahmet Murat Ozbayoglu

Predictive maintenance (PdM) is crucial for optimizing efficiency and minimizing downtime of electric buses. While these vehicles provide environmental benefits, they pose challeng…

cs.CV2020★ 2 cited

Web page classification with Google Image Search results

Fahri Aydos, A. Murat Özbayoğlu, Yahya Şirin +1

In this paper, we introduce a novel method that combines multiple neural network results to decide the class of the input. This is the first study which used the method for web pag…

q-fin.ST2020

Deep Learning for Financial Applications : A Survey

Ahmet Murat Ozbayoglu, Mehmet Ugur Gudelek, Omer Berat Sezer

Computational intelligence in finance has been a very popular topic for both academia and financial industry in the last few decades. Numerous studies have been published resulting…

cs.LG2019★ 2 cited

Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019

Omer Berat Sezer, Mehmet Ugur Gudelek, Ahmet Murat Ozbayoglu

Financial time series forecasting is, without a doubt, the top choice of computational intelligence for finance researchers from both academia and financial industry due to its bro…

cs.LG2019★ 11 cited

Financial Trading Model with Stock Bar Chart Image Time Series with Deep Convolutional Neural Networks

Omer Berat Sezer, Ahmet Murat Ozbayoglu

Even though computational intelligence techniques have been extensively utilized in financial trading systems, almost all developed models use the time series data for price predic…

eess.IV2019★ 1 cited

Automated Image Analysis and Contiguity Estimation for Liquid Phase Sintered Tungsten Heavy Alloys

A. Murat Ozbayoglu, Nuri Durlu, N. Kaan Caliskan

In this study an automated software model using digital image processing techniques is proposed for extracting the image characteristics and contiguity of liquid phase sintered tun…