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Analyzing the effectiveness of vocal features in early telediagnosis of Parkinson's disease

PloS one, 2017-08, Vol.12 (8), p.e0182428-e0182428

2017

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Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and LSTM recurrent neural networks

Neural computing & applications, 2019-10, Vol.31 (10), p.6893-6908

2019

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An automated cryptocurrency trading system based on the detection of unusual price movements with a Time-Series Clustering-Based approach

Expert systems with applications, 2022-08, Vol.200, p.117017, Article 117017

2022

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Human Resources Mining for Examination of R&D Progress and Requirements

IEEE transactions on engineering management, 2021-10, Vol.68 (5), p.1372-1387

2021

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A comparative analysis of speech signal processing algorithms for Parkinson’s disease classification and the use of the tunable Q-factor wavelet transform

Applied soft computing, 2019-01, Vol.74, p.255-263

2019

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Distracted driver detection by combining in-vehicle and image data using deep learning

Applied soft computing, 2020-11, Vol.96, p.106657, Article 106657

2020

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Deep learning-based Turkish spelling error detection with a multi-class false positive reduction model

Elektrik : Turkish journal of electrical engineering & computer sciences, 2023-01, Vol.31 (3), p.581-595

2023

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Discriminative Feature Extraction by a Neural Implementation of Canonical Correlation Analysis

IEEE transaction on neural networks and learning systems, 2017-01, Vol.28 (1), p.164-176

2017

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Social media-based opinion retrieval for product analysis using multi-task deep neural networks

Expert systems with applications, 2021-11, Vol.183, p.115388, Article 115388

2021

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Collection and Analysis of a Parkinson Speech Dataset With Multiple Types of Sound Recordings

IEEE journal of biomedical and health informatics, 2013-07, Vol.17 (4), p.828-834

2013

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Telediagnosis of Parkinson’s Disease Using Measurements of Dysphonia

Journal of medical systems, 2010-08, Vol.34 (4), p.591-599

2010

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A method for combining mutual information and canonical correlation analysis: Predictive Mutual Information and its use in feature selection

Expert systems with applications, 2012-02, Vol.39 (3), p.3333-3344

2012

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Estimation of Parkinson’s disease severity using speech features and extreme gradient boosting

Medical & biological engineering & computing, 2020-11, Vol.58 (11), p.2757-2773

2020

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A Dynamic Recurrent Neural Networks-Based Recommendation System for Banking Customers

2021 29th Signal Processing and Communications Applications Conference (SIU), 2021, p.1-4

Okan Sakar, Hasan Avci C.

2021

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Ensemble canonical correlation analysis

Applied intelligence (Dordrecht, Netherlands), 2014-03, Vol.40 (2), p.291-304

2014

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Analysis of shared miRNAs of different species using ensemble CCA and genetic distance

Computers in biology and medicine, 2015-09, Vol.64, p.261-267

2015

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Using covariates for improving the minimum redundancy maximum relevance feature selection method

Elektrik : Turkish journal of electrical engineering & computer sciences, 2010-01, Vol.18 (6), p.975-987

2010

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Concealed pistol detection from thermal images with deep neural networks

Multimedia tools and applications, 2023-11, Vol.82 (28), p.44259-44275

2023

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Technological forecasting based on estimation of word embedding matrix using LSTM networks

Technological forecasting & social change, 2023-06, Vol.191, p.122520, Article 122520

2023

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Social media mining for ideation: Identification of sustainable solutions and opinions

Technovation, 2021-09, Vol.107, p.102322, Article 102322

2021

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Creating CREATE queries with multi-task deep neural networks

Knowledge-based systems, 2023-04, Vol.266, p.110416, Article 110416

2023

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Performance Comparison of Oral, Laryngeal and Thoracic Sounds in the Detection of COVID-19 by Employing Machine Learning Techniques

2022 30th Signal Processing and Communications Applications Conference (SIU), 2022, p.1-4

2022

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Combining multiple clusterings for protein structure prediction

International journal of data mining and bioinformatics, 2014, Vol.10 (2), p.162

2014

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A Hybrid Method for Feature Selection Based on Mutual Information and Canonical Correlation Analysis

2010 20th International Conference on Pattern Recognition, 2010, p.4360-4363

2010

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Turkish Movie Genre Classification from Poster Images using Convolutional Neural Networks

2019 11th International Conference on Electrical and Electronics Engineering (ELECO), 2019, p.930-934

2019

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Analyzing the effectiveness of vocal features in early telediagnosis of Parkinson's disease

Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and LSTM recurrent neural networks

An automated cryptocurrency trading system based on the detection of unusual price movements with a Time-Series Clustering-Based approach

Human Resources Mining for Examination of R&D Progress and Requirements

A comparative analysis of speech signal processing algorithms for Parkinson’s disease classification and the use of the tunable Q-factor wavelet transform

Distracted driver detection by combining in-vehicle and image data using deep learning

Deep learning-based Turkish spelling error detection with a multi-class false positive reduction model

Discriminative Feature Extraction by a Neural Implementation of Canonical Correlation Analysis

Social media-based opinion retrieval for product analysis using multi-task deep neural networks

Collection and Analysis of a Parkinson Speech Dataset With Multiple Types of Sound Recordings

Telediagnosis of Parkinson’s Disease Using Measurements of Dysphonia

A method for combining mutual information and canonical correlation analysis: Predictive Mutual Information and its use in feature selection

Estimation of Parkinson’s disease severity using speech features and extreme gradient boosting

A Dynamic Recurrent Neural Networks-Based Recommendation System for Banking Customers

Ensemble canonical correlation analysis

Analysis of shared miRNAs of different species using ensemble CCA and genetic distance

Using covariates for improving the minimum redundancy maximum relevance feature selection method

Concealed pistol detection from thermal images with deep neural networks

Technological forecasting based on estimation of word embedding matrix using LSTM networks

Social media mining for ideation: Identification of sustainable solutions and opinions

Creating CREATE queries with multi-task deep neural networks

Performance Comparison of Oral, Laryngeal and Thoracic Sounds in the Detection of COVID-19 by Employing Machine Learning Techniques

Combining multiple clusterings for protein structure prediction

A Hybrid Method for Feature Selection Based on Mutual Information and Canonical Correlation Analysis

Turkish Movie Genre Classification from Poster Images using Convolutional Neural Networks

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