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Bikram Pratim Bhuyan, Vaishnavi Jaiswal and Amar Ramdane Cherif
Investors at well-known firms are increasingly becoming interested in stock forecasting as they seek more effective methods to predict market behavior using behavioral finance tools. Accordingly, studies aimed at predicting stock performance are gaining ...
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Mohan Kumar Gajendran, Ijaz Fazil Syed Ahmed Kabir, Sudhakar Vadivelu and E. Y. K. Ng
As wind energy continues to be a crucial part of sustainable power generation, the need for precise and efficient modeling of wind turbines, especially under yawed conditions, becomes increasingly significant. Addressing this, the current study introduce...
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Nikola Andelic, Sandi Baressi ?egota and Zlatan Car
Malware detection using hybrid features, combining binary and hexadecimal analysis with DLL calls, is crucial for leveraging the strengths of both static and dynamic analysis methods. Artificial intelligence (AI) enhances this process by enabling automat...
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Leonardo Ranaldi, Francesca Fallucchi and Fabio Massimo Zanzotto
Modern AI technologies make use of statistical learners that lead to self-empiricist logic, which, unlike human minds, use learned non-symbolic representations. Nevertheless, it seems that it is not the right way to progress in AI. The structure of symbo...
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Thoralf Reis, Tim Funke, Sebastian Bruchhaus, Florian Freund, Marco X. Bornschlegl and Matthias L. Hemmje
Climate change means coping directly or indirectly with extreme weather conditions for everybody. Therefore, analyzing meteorological data to create precise models is gaining more importance and might become inevitable. Meteorologists have extensive doma...
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Alfonso Ortega, Julian Fierrez, Aythami Morales, Zilong Wang, Marina de la Cruz, César Luis Alonso and Tony Ribeiro
Machine learning methods are growing in relevance for biometrics and personal information processing in domains such as forensics, e-health, recruitment, and e-learning. In these domains, white-box (human-readable) explanations of systems built on machin...
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Roberta Calegari, Giovanni Ciatto, Enrico Denti and Andrea Omicini
Together with the disruptive development of modern sub-symbolic approaches to artificial intelligence (AI), symbolic approaches to classical AI are re-gaining momentum, as more and more researchers exploit their potential to make AI more comprehensible, ...
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Giuseppe Futia and Antonio Vetrò
Deep learning models contributed to reaching unprecedented results in prediction and classification tasks of Artificial Intelligence (AI) systems. However, alongside this notable progress, they do not provide human-understandable insights on how a specif...
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Lluís J. Liñán
Pág. 179 - 182
The broad semantic field that stems from the fruitful interaction between architecture and representation can be projected onto two separate surfaces. The first one deals with the symbolic function of buildings, that is, with their mandate to represent a...
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