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Published in 2023 at "Chaos"
DOI: 10.1063/5.0141099
Abstract: Multiscale entropy (MSE) has been widely used to examine nonlinear systems involving multiple time scales, such as biological and economic systems. Conversely, Allan variance has been used to evaluate the stability of oscillators, such as…
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Keywords:
statistical measures;
allan variance;
variance;
information theoretical ... See more keywords
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1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3225407
Abstract: Federated learning (FL) has been proposed as a machine learning approach to collaboratively learn a shared prediction model. Although, during FL training, only a subset of workers participate in each round, existing approaches introduce model…
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Keywords:
federated learning;
statistical measures;
model;
measures based ... See more keywords
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1
Published in 2023 at "Diagnostics"
DOI: 10.3390/diagnostics13061143
Abstract: This article proposes a model to diagnose autism patients using graphical neural networks. A graphical neural network relates the subjects (nodes) using the features (edges). In our model, radiomic features obtained from sMRI are used…
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Keywords:
neural networks;
autism patients;
graphical neural;
patients using ... See more keywords
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Published in 2020 at "Entropy"
DOI: 10.3390/e22060645
Abstract: The presented editorial summarizes in brief the efforts of ten (10) papers collected by the Special Issue (SI) “Condensed-Matter-Principia Based Information & Statistical Measures: From Classical to Quantum”. The SI called for papers dealing with…
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Keywords:
quantum;
matter;
information statistical;
statistical measures ... See more keywords