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Ryota Higashimoto, Soh Yoshida and Mitsuji Muneyasu
This paper addresses the performance degradation of deep neural networks caused by learning with noisy labels. Recent research on this topic has exploited the memorization effect: networks fit data with clean labels during the early stages of learning an...
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Sanzidur Rahman, Md. Abdul Matin and Md. Kamrul Hasan
Pulses are an important source of protein and have recently gained international prominence. This paper jointly identifies the determinants of improved variety adoption, productivity and efficiency of 2700 pulse producers from 10 pulse-growing districts ...
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Chia-Lin Chang, Michael McAleer and Yu-Chieh Wu
This paper is the first to investigate the effect of industrial penetration (geographic concentration of industries) and internet intensity (the proportion of enterprises that uses the internet) for Taiwan manufacturing firms, and analyses whether the re...
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Chia-Lin Chang, Michael McAleer and Yu-Chieh Wu
This paper is the first to investigate the effect of industrial penetration (geographic concentration of industries) and internet intensity (the proportion of enterprises that uses the internet) for Taiwan manufacturing firms, and analyses whether the re...
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Yuan Gao, Xiangjian Chen, Xibei Yang and Pingxin Wang
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Maria Felice Arezzo and Giuseppina Guagnano
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Patricia L. Mokhtarian, David van Herick
The phenomenon whereby individuals self-select into their residential environment based on previously determined preferences for how to travel is known as residential self-selection (RSS). Numerous studies have investigated the influence of RSS on the es...
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Yaojie Zhang, Huahu Xu, Junsheng Xiao and Minjie Bian
The real world is full of noisy labels that lead neural networks to perform poorly because deep neural networks (DNNs) are prone to overfitting label noise. Noise label training is a challenging problem relating to weakly supervised learning. The most ad...
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Ryan Dieter Lang and Andries Petrus Engelbrecht
The choice of which objective functions, or benchmark problems, should be used to test an optimization algorithm is a crucial part of the algorithm selection framework. Benchmark suites that are often used in the literature have been shown to exhibit poo...
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X. C. Birkenbach,A. Allan
AbstractWhile the topic of fairness in personnel selection decisions has received a great deal of attention in the United States of America over the last two decades or so, little work has been done in South Africa in this regard. In view of the possible...
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X. C. Birkenbach,A. Allan
AbstractWhile the topic of fairness in personnel selection decisions has received a great deal of attention in the United States of America over the last two decades or so, little work has been done in South Africa in this regard. In view of the possible...
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Bin Li, Yuqi Wang, Lisha Li and Yande Liu
Machine learning is used widely in near-infrared spectroscopy (NIRS) for fruit qualification. However, the directly split training set used contains redundant samples, and errors may be introduced into the model. Euclidean distance-based and K-nearest ne...
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Tihana ?krinjaric and Bo?ko ?ego
Due to the development of financial markets, products, financial and mathematical models, portfolio selection today represents a comprehensive set of activities. Investors take into consideration many different factors, such as the market factors, return...
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Quang Linh Huynh
Pág. 191 - 197
Tourists? destination loyalty plays a vital role in developing tourism at local tourism attractions; it is however conditional on the tourists? satisfaction with destination, which is while determined by several other contingent factors. This study appli...
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Zsombor Zilinyi, Ágoston Nagy, Szilvia Borbély and Tamás Sterbenz
In the game of basketball game-related statistics are utilised to help decision makers to evaluate players? achievements. Previous research showed that in the case of individual awards, points are preferred over other indicators of effectiveness. Based o...
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Zakaria Harahap
Pág. 364 - 370
Let's Save Stocks Against Investment Interest in SMEs Group in Prabumulih City, South Sumatra. The purpose of this study is to analyze the impact of the "Yuk Nabung Saham" program on investment interest in the SME group in Prabumulih City, South Sumatra....
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Arnd Adje Both
This paper presents the acoustic study of a sample of sonic artefacts, in particular a selection of wind instruments (horns, trumpets and pipes), from the UNESCO World Heritage Centre of Teotihuacan, Mexico, based on a thorough examination of the accessi...
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Hanieh Panahi
Numerous heavy-tailed distributions are used for modeling financial data and in problems related to the modeling of economics processes. These distributions have higher peaks and heavier tails than normal distributions. Moreover, in some situations, we c...
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Jian Yang and Jinhan Guan
In today?s world, heart disease is the leading cause of death globally. Researchers have proposed various methods aimed at improving the accuracy and efficiency of the clinical diagnosis of heart disease. Auxiliary diagnostic systems based on machine lea...
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