An Alternative to Entropy in the Measurement of Information [PDF]
Entropy, 2004 : Entropy has been the main tool in the analysis of the concept of information since information theory was conceived in the work of Shannon more than fifty years ago.
Marcin J. Schroeder
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Fluctuation of Information Entropy Measures in Cell Image [PDF]
Entropy, 2017 A simple, label-free cytometry technique is introduced. It is based on the analysis of the fluctuation of image Gray Level Information Entropy (GLIE) which is shown to reflect intracellular biophysical properties like generalized entropy.
Ishay Wohl +4 more
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Properties of Risk Measures of Generalized Entropy in Portfolio Selection
Entropy, 2017 This paper systematically investigates the properties of six kinds of entropy-based risk measures: Information Entropy and Cumulative Residual Entropy in the probability space, Fuzzy Entropy, Credibility Entropy and Sine Entropy in the fuzzy space, and ...
Rongxi Zhou +3 more
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A Fractional (q,q′) Non-Extensive Information Dimension for Complex Networks
Fractal and Fractional, 2023 This article introduces a new fractional approach to the concept of information dimensions in complex networks based on the (q,q′)-entropy proposed in the literature. The q parameter measures how far the number of sub-systems (for a given size ε) is from
Aldo Ramirez-Arellano +2 more
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Some Information Measures Properties of the GOS-Concomitants from the FGM Family
Entropy, 2022 In this paper we recall, extend and compute some information measures for the concomitants of the generalized order statistics (GOS) from the Farlie–Gumbel–Morgenstern (FGM) family.
Florentina Suter +2 more
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Entropy Measures for Interval Neutrosophic Vague Sets and Their Application in Decision Making [PDF]
Neutrosophic Sets and Systems, 2021 Entropy measure is an important tool in measuring uncertain information and plays a vital role in solving Multi Criteria Decision Making (MCDM). At present, various entropy measures in literature are developed to measure the degree of fuzziness. However,
Hazwani Hashim +3 more
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Recent developments in quantitative graph theory: information inequalities for networks. [PDF]
PLoS ONE, 2012 In this article, we tackle a challenging problem in quantitative graph theory. We establish relations between graph entropy measures representing the structural information content of networks.
Matthias Dehmer, Lavanya Sivakumar
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Information Entropy Measures for Evaluation of Reliability of Deep Neural Network Results
Entropy, 2023 Deep neural networks (DNN) try to analyze given data, to come up with decisions regarding the inputs. The decision-making process of the DNN model is not entirely transparent.
Elakkat D. Gireesh, Varadaraj P. Gurupur
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Towards information inequalities for generalized graph entropies. [PDF]
PLoS ONE, 2012 In this article, we discuss the problem of establishing relations between information measures for network structures. Two types of entropy based measures namely, the Shannon entropy and its generalization, the Rényi entropy have been considered for this
Lavanya Sivakumar, Matthias Dehmer
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Gaze Information Channel in Van Gogh’s Paintings
Entropy, 2020 This paper uses quantitative eye tracking indicators to analyze the relationship between images of paintings and human viewing. First, we build the eye tracking fixation sequences through areas of interest (AOIs) into an information channel, the gaze ...
Qiaohong Hao +4 more
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