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Abdülhamit Subaşı · Study

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Abdülhamit Subaşı

10 works· latest 2023· 1 institutionscluster: provisionalORCID 0000-0001-7630-4084

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Citations651

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Most cited in this library

EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier2021 · 176 citations
A new fractal pattern feature generation function based emotion recognition method using EEG2021 · 125 citations
LEDPatNet19: Automated Emotion Recognition Model based on Nonlinear LED Pattern Feature Extraction Function using EEG Signals2021 · 74 citations
Stock Market Prediction Using Machine Learning2021 · 67 citations
A comparison of time series and machine learning models for inflation forecasting: empirical evidence from the USA2016 · 59 citations

Works

10 shown

Intelligent credit scoring using deep learning methods

Concurrency and Computation Practice and Experience·2023·3 authors·Open access

25citations

LEDPatNet19: Automated Emotion Recognition Model based on Nonlinear LED Pattern Feature Extraction Function using EEG Signals

Cognitive Neurodynamics·2021·3 authors·Open access

74citations

EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier

Biomedical Signal Processing and Control·2021·5 authors·Open access

176citations

A new fractal pattern feature generation function based emotion recognition method using EEG

Chaos Solitons & Fractals·2021·3 authors·Open access

125citations

Stock Market Prediction Using Machine Learning

Procedia Computer Science·2021·4 authors·other·Open access

67citations

Prediction of default payment of credit card clients using Data Mining Techniques

·2019·2 authors·other

14citations

Credit scoring for a microcredit data set using the synthetic minority oversampling technique and ensemble classifiers

Expert Systems·2018·2 authors

49citations

A comparison of time series and machine learning models for inflation forecasting: empirical evidence from the USA

Neural Computing and Applications·2016·3 authors

59citations

Tourism demand modelling and forecasting using data mining techniques in multivariate time series: a case study in Turkey

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES·2016·2 authors

37citations

Developing tourism demand forecasting models using machine learning techniques with trend, seasonal, and cyclic components

DergiPark (Istanbul University)·2015·2 authors

25citations