Del 1237 i serien Communications in Computer and Information Science

Information Processing and Management of Uncertainty in Knowledge-Based Systems

18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part I

Häftad, Engelska, 2020

AvMarie-Jeanne Lesot,Susana Vieira,Marek Z. Reformat,João Paulo Carvalho,Anna Wilbik,Bernadette Bouchon-Meunier,Ronald R. Yager

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This three volume set (CCIS 1237-1239) constitutes the proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. text analysis and processing; statistical image processing and analysis, with applications in neuroimaging;

Produktinformation

Utgivningsdatum2020-06-06
Mått155 x 235 x 43 mm
Vikt1 188 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor753
FörlagSpringer Nature Switzerland AG
ISBN9783030501457

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Programmeringsböcker inom Data och IT
Artificiell intelligens inom Data och IT
Nätverk och kommunikation inom Data och IT

Homage to Enrique Ruspini.- Invited Talks.- Foundations and Mathematics.- Decision Making, Preferences and Votes.- Optimization and Uncertainty. –Games.- Real World Applications.- Knowledge Processing and Creation.- Machine Learning I.- Machine Learning II. – XAI.- Image Processing.- Temporal Data Processing.- Text Analysis and Processing.- Fuzzy Interval Analysis.- Theoretical and Applied Aspects of Imprecise Probabilities.- Similarities in Artifcial Intelligence.- Belief Function Theory and its Applications.- Aggregation: Theory and Practice.- Aggregation: Pre-aggregation Functions and other Generalizations of Monotonicity.- Aggregation: Aggregation of Di erent Data Structures.- Fuzzy methods in Data Mining and Knowledge Discovery.- Computational Intelligence for Logistics and Transportation Problems.- Fuzzy Implication Functions.- Soft Methods in Statistics and Data Analysis.- Image Understanding and Explainable AI.- Fuzzy and Generalized Quantifer Theory.- Mathematical Methods Towards Dealing with Uncertainty in Applied Sciences.- Statistical Image Processing and Analysis, with Applications in Neuroimaging.- Interval Uncertainty.- Discrete Models and Computational Intelligence.- Current Techniques to Model, Process and Describe Time Series.- Mathematical Fuzzy Logic and Graded Reasoning Models.- Formal Concept Analysis, Rough Sets, General Operators and Related Topics.- Computational Intelligence Methods in Information Modelling, Representation and Processing.