+2 MM articles scientifics and academics

108.050 Articles

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Feature selection using regression mutual information deep convolution neuron networks for COVID-19 X-ray image classification

(1) Tongjai Yampaka (Department of Computer ScienceFaculty of Business Administration and Information TechnologyRajamangala University of Technology Tawan-Ok) (2) Suteera Vonganansup (Department of Computer ScienceFaculty of Business Administration and Information TechnologyRajamangala University of Technology Tawan-Ok, Thailand) (3) Prinda Labcharoenwongs (Department of Computer ScienceFaculty of Business Administration and Information TechnologyRajamangala University of Technology Tawan-Ok, Thailand)

Coronavirus disease (COVID-19) is a pandemic disease that has spread rapidly among people living in many countries. The effective screening and immediate medical response for the infected patients are important to treat with stopping the spread of C... see more

COVID-19 | Medical imaging | Deep neural networks | Regression mutual information | Feature selection

International Journal of Advances in Intelligent Informatics , 2022

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Feature selection using regression mutual information deep convolution neuron networks for COVID-19 X-ray image classification

COVID-19 | Medical imaging | Deep neural networks | Regression mutual information | Feature selection

IJAIN (International Journal of Advances in Intelligent Informatics) , 2022

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The study of a relationship between information asymmetry and earnings management in mutual funds (short term and long term)

Mohammad Anvar Barfi,Mohammad Ghasemi

The main purpose of this study is to investigate a relationship between information asymmetry and earnings management in mutual funds (short term and long term). Therefore, earnings management is determined as a dependent variable while the monitoring eff... see more

monitoring effect | earnings management | mutual funds | information asymmetry.

International Journal of Humanities and Cultural Studies , 2016

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Quadratic Mutual Information Feature Selection

Davor Sluga and Uroš Lotric

We propose a novel feature selection method based on quadratic mutual information which has its roots in Cauchy–Schwarz divergence and Renyi entropy. The method uses the direct estimation of quadratic mutual information from data samples using Gaussian ke... see more

feature selection | information-theoretic measures | quadratic mutual information | Cauchy–Schwarz divergence

Entropy , 2017

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Quantitative EEG Markers of Entropy and Auto Mutual Information in Relation to MMSE Scores of Probable Alzheimer’s Disease Patients

Carmina Coronel, Heinrich Garn, Markus Waser, Manfred Deistler, Thomas Benke, Peter Dal-Bianco, Gerhard Ransmayr, Stephan Seiler, Dieter Grossegger and Reinhold Schmidt

Analysis of nonlinear quantitative EEG (qEEG) markers describing complexity of signal in relation to severity of Alzheimer’s disease (AD) was the focal point of this study. In this study, 79 patients diagnosed with probable AD were recruited from the mult... see more

Entropy , 2017

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COVID-19 and Its Impact on Islamic Equity Mutual Funds in Indonesia DOI : 10.18326/muqtasid.v13i2.160-177

Nofrianto Nofrianto,Aprila Yutegi

The Islamic equity mutual funds, initially exhibiting a relatively high average interest, experienced a significant decline in Net Asset Value (NAV) in 2020 - 2021 due to the COVID- 19 pandemic. Therefore, this study analyzed the impact of the COVID-19 pa... see more

Islamic equity mutual funds | net asset value | panel data regression | COVID-19 pandemic

Muqtasid: Jurnal Ekonomi dan Perbankan Syariah , 2022

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Internal and collective interpretation for improving human interpretability of multi-layered neural networks

(1) Ryotaro Kamimura (Kumamoto Drone Technology and Development Foundation; IT Education Center, Tokai Univerisity, Japan)

The present paper aims to propose a new type of information-theoretic method to interpret the inference mechanism of neural networks. We interpret the internal inference mechanism for itself without any external methods such as symbolic or fuzzy rules. In... see more

Mutual information | Internal interpretation | Collective interpretation | Inference mechanism | Generalization

IJAIN (International Journal of Advances in Intelligent Informatics) , 2019

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Internal and collective interpretation for improving human interpretability of multi-layered neural networks

(1) Ryotaro Kamimura (Kumamoto Drone Technology and Development Foundation; IT Education Center, Tokai Univerisity, Japan)

The present paper aims to propose a new type of information-theoretic method to interpret the inference mechanism of neural networks. We try to interpret the internal inference mechanism for itself without any external methods such as symbolic or fuzzy ru... see more

Mutual information | Internal interpretation | Collective interpretation | Inference mechanism | Generalization

International Journal of Advances in Intelligent Informatics , 2019

Free Access

Information System for Predicting Fisheries Outcomes Using Regression Algorithm Multiple Linear

Nurdin Nurdin,Fajriana Fajriana,Maryana Maryana,Ama Zanati

Bireuen is one of the regencies in Aceh province which has quite a lot of potential for marine and fishery resources, both capture fisheries and aquaculture, because some areas in this district are coastal areas supported by several fish landing bases (PP... see more

Fishery Results | Predictions | Multiple Linear Regression | Information Systems.

JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING , 2022

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