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Classification and Verification of Handwritten Signatures with Time Causal Information Theory Quantifiers
(Public Library of Science, 2016-12)
We present a new approach for handwritten signature classification and verification based on descriptors stemming from time causal information theory. The proposal uses the Shannon entropy, the statistical complexity, and ...
Time series characterization via horizontal visibility graph and Information Theory
(Elsevier Science, 2016-12)
Complex networks theory have gained wider applicability since methods for transformation of time series to networks were proposed and successfully tested. In the last few years, horizontal visibility graph has become a ...
Study about vehicles velocities using time causal Information Theory quantifiers
(Elsevier Science, 2019-06)
New proposals of applications and protocols for vehicular networks appear every day. It is crucial to evaluate, test and validate these proposals on a large scale before deploying them in the real world. Simulation is by ...
Information quantifiers and unpredictability in the COVID-19 time-series data
(Centro de Investigaciones en Matemática Pura y Aplicada (CIMPA) y Escuela de Matemática, San José, Costa Rica., 2023)
Evaluation of the status of rotary machines by time causal Information Theory quantifiers
(Elsevier Science, 2017-03)
In this paper several causal Information Theory quantifiers, i.e.�Shannon entropy, statistical complexity and Fisher information using the Bandt and Pompe permutation probability distribution, measure are applied to ...
Crude oil market and geopolitical events: an analysis based on information-theory-based quantifiers
(International Association for Fuzzy-set Management and Economy, 2016-05)
This paper analyzes the informational efficiency of oil market during the last three decades, and examines changes in informational efficiency with major geopolitical events, such as terrorist attacks, financial crisis and ...
Libor at crossroads: stochastic switching detection using Information Theory quantifiers
(Pergamon-Elsevier Science Ltd, 2016-03)
This paper studies the 28 time series of Libor rates, classified in seven maturities and four currencies, during the last 14 years. The analysis was performed using a novel technique in financial economics: the Complexity–Entropy ...
Characterization of electric load with Information Theory quantifiers
(Elsevier Science, 2017-01)
This paper presents a study of the electric load behavior based on the Causality Complexity–Entropy Plane. We use a public data set, namely REDD, which contains detailed power usage information from several domestic ...
Structural changes in data communication in wireless sensor networks
(Versita, 2013-08)
Wireless sensor networks are an important technology for making distributed autonomous measures in hostile or inaccessible environments. Among the challenges they pose, the way data travel among them is a relevant issue ...
Diagnosing the Dynamics of Observed and Simulated Ecosystem Gross Primary Productivity with Time Causal Information Theory Quantifiers
(Public Library of Science, 2016-10)
Data analysis and model-data comparisons in the environmental sciences require diagnostic measures that quantify time series dynamics and structure, and are robust to noise in observational data. This paper investigates ...