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Hui-Jun Kim, Jung-Soon Kim and Sung-Hee Kim
The existing question-and-answer screening test has a limitation in that test accuracy varies due to a high learning effect and based on the inspector?s competency, which can have consequences for rapid-onset cognitive-related diseases. To solve this pro...
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Anna Babicka-Wirkus, Pawel Kozlowski, Lukasz Wirkus and Krzysztof Stasiak
This article concerns internalizing and externalizing behaviors among Polish adolescents attending primary schools in a medium-sized city in Poland. The aim of the study was to examine the levels of select problem behaviors (i.e., depression, withdrawal,...
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Deborah Cristina Landi Masquio, Raquel Munhoz da Silveira Campos, Bárbara Dal Molin Netto, Joana Pereira de Carvalho-Ferreira, Carlos Roberto Bueno, Jr., Stella Alouan, Gabriela Tronca Poletto, Aline de Piano Ganen, Sergio Tufik, Marco Túlio de Mello, Nelson Nardo, Jr. and Ana R. Dâmaso
Obesity is associated with inflammation and an increased risk of cardiovascular disease and premature mortality, as well as a range of other conditions. Obesity is a growing global problem, not only in adults, but also in children and adolescents. Theref...
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Xiaoping Zhang, Yuanpeng Zheng, Li Wang, Arsen Abdulali and Fumiya Iida
Multi-agent collaborative target search is one of the main challenges in the multi-agent field, and deep reinforcement learning (DRL) is a good way to learn such a task. However, DRL always faces the problem of sparse reward, which to some extent reduces...
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Cheng-Lin Wu, Hsun-Ping Hsieh, Jiawei Jiang, Yi-Chieh Yang, Chris Shei and Yu-Wen Chen
To alleviate the impact of fake news on our society, predicting the popularity of fake news posts on social media is a crucial problem worthy of study. However, most related studies on fake news emphasize detection only. In this paper, we focus on the is...
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Yenny Alexandra Paredes-Astudillo, Jairo R. Montoya-Torres and Valérie Botta-Genoulaz
In traditional scheduling problems, job processing times are considered constant and known in advance. This assumption is, however, a simplification when it comes to hand-intensive real-life production contexts because workers usually induce variability ...
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Tatiana Litvinova,Polina Panicheva,Elena Kotlyarova,Victoria Zavarzina
Pág. 47 - 53
Development of the models of distributional semantics is one of the most important directions of research in modern NLP. This field is developing rapidly. New transformed-based models allow one to obtain good results in a lot of practical tasks, although...
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Saravanan Sagadevan, Nurul Hashimah Ahamed Hassain Malim and Mohd Heikal Husin
There is a growing interest in topic modeling to decipher the valuable information embedded in natural texts. However, there are no studies training an unsupervised model to automatically categorize the social networks (SN) messages according to personal...
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Lucia Jerg-Bretzke, Maximilian Kempf, Marc Nicolas Jarczok, Katja Weimer, Christian Hirning, Harald Gündel, Yesim Erim, Eva Morawa, Franziska Geiser, Nina Hiebel, Kerstin Weidner, Christian Albus and Petra Beschoner
Introduction: Epidemics lead to an increase in occupational stress and psychological strain among healthcare workers. However, the impact of a pandemic outbreak on healthcare systems is yet to be clearly defined. Therefore, this work aims to describe and...
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Hang Zhang, Mingxin Gan and Xi Sun
In location-based social networks (LBSNs), point-of-interest (POI) recommendations facilitate access to information for people by recommending attractive locations they have not previously visited. Check-in data and various contextual factors are widely ...
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