SUSANA IRENE
DIAZ RODRIGUEZ
Catedrática de Universidad
University of Sannio
Benevento, ItaliaPublications in collaboration with researchers from University of Sannio (15)
2023
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Preface
Lecture Notes in Networks and Systems
2022
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Preface
Lecture Notes in Networks and Systems
2017
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Matching media contents with user profiles by means of the Dempster-Shafer theory
IEEE International Conference on Fuzzy Systems
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Regression driven F-transform and application to smoothing of financial time series
IFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems
2016
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A method to generate equiprobale runs in TFPG models
ACM International Conference Proceeding Series
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An Analytical Solution to Dujmovic's Iterative OWA
International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 24, pp. 165-179
2015
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Discovering user preferences using Dempster-Shafer theory
Fuzzy Sets and Systems, Vol. 278, pp. 98-117
2014
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A Model for Preserving Privacy in Recommendation Systems
Communications in Computer and Information Science
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Statistical analysis of parametric t-norms
Information Sciences, Vol. 257, pp. 138-162
2013
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On mining sensitive rules to identify privacy threats
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Ranking COMMPS chemical substances by an improved POT/RLE approach
Journal of Chemical Information and Modeling, Vol. 53, Núm. 12, pp. 3190-3201
2012
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A model for assessing the risk of revealing shared secrets in social networks
Communications in Computer and Information Science
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Fuzzy sets in data protection: Strategies and cardinalities
Logic Journal of the IGPL, Vol. 20, Núm. 4, pp. 657-666
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Interpretability of fuzzy association rules as means of discovering threats to privacy
International Journal of Computer Mathematics
2010
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Identifying the Risk of Attribute Disclosure by Mining Fuzzy Rules
Communications in Computer and Information Science