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Mostrando ítems 1-8 de 8
Artículo
A model of three-way decisions for Knowledge Harnessing
(Elsevier, 2020)
The present work introduces the Knowledge Harnessing, by showing its theoretical founda-tions as well as a three-way decision model to deal with it. The problem poses how toextract valid information about a specific context ...
Artículo
Towards a Notion of Basis for Knowledge-Based Systems—Applications
(MDPI, 2021)
In the paradigm of Knowledge-Based Systems (KBS), the design of methods to simplify the reasoning leads to more efficient processes. A point of view that provides valuable insights is the algebraic one. In this work, a ...
Artículo
Algebraic combinatorics in bounded induction
(Elsevier, 2021)
In this paper, new methods for analyzing models of weak subsystems of Peano Arithmetic are proposed. The focus will be on the study of algebro-combinatoric properties of certain definable cuts. Their relationship with ...
Ponencia
A stacked deep convolutional neural network to predict the remaining useful life of a turbofan engine
(PHM Society, 2021)
his paper presents the data-driven techniques and method ologies used to predict the remaining useful life (RUL) of a fleet of aircraft engines that can suffer failures of diverse nature. The solution presented is based ...
Artículo
Logic Negation with Spiking Neural P Systems
(Springer, 2020)
Nowadays, the success of neural networks as reasoning systems is doubtless. Nonetheless, one of the drawbacks of such reasoning systems is that they work as black-boxes and the acquired knowledge is not human readable. ...
Artículo
Explainable Artificial Intelligence in Data Science: From Foundational Issues Towards Socio-technical Considerations
(Springer, 2022)
A widespread need to explain the behavior and outcomes of AI-based systems has emerged, due to their ubiquitous presence. Thus, providing renewed momentum to the relatively new research area of eXplainable AI (XAI). ...
Artículo
Knowledge representation for explainable artificial intelligence: modeling foundations from complex systems
(Springer, 2022)
Alongside the particular need to explain the behavior of black box artificial intelligence (AI) systems, there is a general need to explain the behavior of any type of AI-based system (the explainable AI, XAI) or complex ...
Artículo
Concept learning consistency under three‑way decision paradigm
(Springer, 2022)
Concept Mining is one of the main challenges both in Cognitive Computing and in Machine Learning. The ongoing improve ment of solutions to address this issue raises the need to analyze whether the consistency of the learning ...