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Evelina Maria Oliveira Coutinho and Manuel Au-Yong-Oliveira
The pandemic marked the beginning of a succession of events on a global scale (not the least of which is a greater concern for the environment and for quality of life/distance work) with a major impact on the economy. Innovation plays a key role in meeti...
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Jaroslaw Kurek, Tomasz Latkowski, Michal Bukowski, Bartosz Swiderski, Mateusz Lepicki, Grzegorz Baranik, Bogusz Nowak, Robert Zakowicz and Lukasz Dobrakowski
In the evolving realities of recruitment, the precision of job?candidate matching is crucial. This study explores the application of Zero-Shot Recommendation AI Models to enhance this matching process. Utilizing advanced pretrained models such as all-Min...
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Leon Kopitar, Iztok Fister, Jr. and Gregor Stiglic
Introduction: Type 2 diabetes mellitus is a major global health concern, but interpreting machine learning models for diagnosis remains challenging. This study investigates combining association rule mining with advanced natural language processing to im...
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Charalampos M. Liapis and Sotiris Kotsiantis
The use of deep learning in conjunction with models that extract emotion-related information from texts to predict financial time series is based on the assumption that what is said about a stock is correlated with the way that stock fluctuates. Given th...
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Emmanuel Senyo Fianu
Because of the non-linearity inherent in energy commodity prices, traditional mono-scale smoothing methodologies cannot accommodate their unique properties. From this viewpoint, we propose an extended mode decomposition method useful for the time-frequen...
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Yusuf TEPELI, Hatice Özkoç
Pág. 356 - 377
This study aims to determine which financial performance ranking methods accurately predict the actual rankings by using multiple criteria decision techniques, and it compares the accuracy of the rankings based on the financial performance indicators and...
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Jesús F. Pérez-Gómez, Juana Canul-Reich, José Hernández-Torruco and Betania Hernández-Ocaña
Requiring only a few relevant characteristics from patients when diagnosing bacterial vaginosis is highly useful for physicians as it makes it less time consuming to collect these data. This would result in having a dataset of patients that can be more a...
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Ernest Kwame Ampomah, Zhiguang Qin and Gabriel Nyame
Forecasting the direction and trend of stock price is an important task which helps investors to make prudent financial decisions in the stock market. Investment in the stock market has a big risk associated with it. Minimizing prediction error reduces t...
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Teofan Clipa and Giorgio Maria Di Nunzio
In this work, we compare and analyze a variety of approaches in the task of medical publication retrieval and, in particular, for the Technology Assisted Review (TAR) task. This problem consists in the process of collecting articles that summarize all ev...
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Alexander Maune
This article presents a ?competitiveness intelligence? conceptual framework developed from a literature review for adaptation by African countries to improve their competitiveness in the global economy. The role of competitive intelligence in national co...
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