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High-Level Information Fusion Management and Systems Design

• Authors : Blasch, Erik; Bosse, Eloi; Lambert, Dale

Subjects: Information organization--Mathematical models; Multisensor data fusion; Information resources managementCOMPUTERS / Information Theory

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Inference of Mood State Indices by Using a Multimodal High-Level Information Fusion Technique

• Authors : Chih-Hua Tai; Kuo-Hsuan Chung; Ya-Wen Teng

Subjects: Mood state inference; high-level information fusion; psychological

• Source: IEEE Access, Vol 9, Pp 61256-61268 (2021)

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Evaluating credal set theory as a belief framework in high-level information fusion for automated decision-making

• Authors : Karlsson, Alexander;

Subjects: High-level information fusion; belief framework; credal set theory

• Source: Örebro Studies in Technology.

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Dependable and generic high-level information fusion: methods and algorithms for uncertainty management

• Authors : Karlsson, Alexander

Subjects: information fusion; high-level information fusion; dependability

• Source: IKI Technical Reports.

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A general cognitive framework for context-aware systems: extensions and applications for high level information fusion approaches

• Authors : Serrano Mateos, Miguel Ángel;

Subjects: Context aware systems; Cognitive framework; Information Fusion paradigm

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A general cognitive framework for context-aware systems: extensions and applications for high level information fusion approaches

• Authors : Patricio Guisado, Miguel Ángel; García Herrero, Jesús; Universidad Carlos III de Madrid. Departamento de Informática

Subjects: Context aware systems; Cognitive framework; Information Fusion paradigm

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Evaluating Credal Set Theory as a Belief Framework in High-Level Information Fusion for Automated Decision-Making

• Authors : Karlsson, Alexander

Subjects: Teknik; Technology

• Source: IKI Technical Reports.

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Hierarchical High Level Information Fusion (H2LIFT)

• Authors : CALSPAN UB RESEARCH CENTER BUFFALO NY; Sudit, Moises; Stotz, Adam

Subjects: Information Science; Cybernetics; Military Operations, Strategy and Tactics

• Source: DTIC

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Imprecise Probability as an Approach to Improved Dependability in High-Level Information Fusion

• Authors : Karlsson, Alexander; Johansson, Ronnie; Andler, Sten F.

Subjects: Computer Sciences; Datavetenskap (datalogi); Conference paper

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An Empirical Comparison of Bayesian and Credal Networks for Dependable High-Level Information Fusion

• Authors : Karlsson, Alexander; Johansson, Ronnie; Andler, Sten F.

Subjects: High-level information fusion; credal networks; Bayesian networks

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Ontological Considerations for Uncertainty Propagation in High Level Information Fusion

• Authors : GEORGE MASON UNIV FAIRFAX VA; Locher, Mark; Costa, Paulo C

Subjects: Information Science; Psychology; DATA FUSION

• Source: DTIC

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Reproducible Mapping of Tabular Data into Semantic Knowledge Graphs with OntoWeaver and BioCypher

• Authors : Dreo, Johann; Laudy, Claire; Lobentanzer, Sebastian

Subjects: semantic knowledge graphs; graph database; high-level information fusion

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High-Level Information Fusion in Visual Sensor Networks

• Authors : Gómez Romero, Juan; García, Jesús; Patricio Guisado, Miguel Ángel

Subjects: Wireless sensor networks; WSNs; Information fusion

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High-level information fusion for risk and accidents prevention in pervasive oil industry environments

• Authors : Sánchez-Pi, Nayat; Martí Orosa, Luis; Molina López, José Manuel

Subjects: Information fusion; Context; Ontologies

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An Ontology-Based Integrated Approach to Situation Awareness for High-Level Information Fusion in C4ISR

• Authors : Valiente, María-Cruz; Machín, Rebeca; García-Barriocanal, Elena

• Source: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ; Lecture Notes in Computer Science ; page 513-527 ; ISSN 0302-9743 1611-3349 ; ISBN 9783319125671 9783319125688

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High level information fusion developments, issues, and grand challenges: Fusion 2010 panel discussion

• Authors : Erik Blasch; James Llinas; Dale Lambert ...

Subjects: Fusion; Situational/Impact Assessment; Resource/Sensor Management

• Source: http://isif.org/fusion/proceedings/fusion2010/pdfs/we3.8.1-0382-final.pdf.

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A general cognitive framework for context-aware systems: extensions and applications for high level information fusion approaches

• Authors : Serrano Mateos, Miguel Ángel;

Subjects: Informática; Information Fusion paradigm; Ambient intelligence

• Source: e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madridinstname

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High Level Information Fusion developments, issues, and grand challenges: Fusion 2010 panel discussion

• Authors : Pierre Valin; James Llinas; Mitch Kokar

Subjects: Knowledge management; Computer science; business.industry

• Source: FUSION

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Ontological Considerations for Uncertainty Propagation in High Level Information Fusion

• Authors : Paulo C. G. Costa; Mark Locher

Subjects: Propagation of uncertainty; Management information systems; Computer science

• Source: STIDS

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High level information fusion for tracking and projection of multistage cyber attacks

• Authors : Yang, Shanchieh J.; Stotz, Adam; Holsopple, Jared

• Source: Information Fusion ; volume 10, issue 1, page 107-121 ; ISSN 1566-2535

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An integrated approach to high-level information fusion

• Authors : Sycara, Katia; Glinton, Robin; Yu, Bin

• Source: Information Fusion ; volume 10, issue 1, page 25-50 ; ISSN 1566-2535

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Cognitive high level information fusion

• Authors : Leonid I. Perlovsky; The Pennsylvania State University CiteSeerX Archives

• Source: http://leonid-perlovsky.com/new-materials/39 IS 2007 Cog High Levl Fusion.pdf.

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Cognitive high level information fusion

• Authors : Perlovsky, Leonid I.

• Source: Information Sciences ; volume 177, issue 10, page 2099-2118 ; ISSN 0020-0255

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SES-based ontological process for high level information fusion

• Authors : Hojun Lee; Bernard P. Zeigler

Subjects: Information retrieval; Categorization; Computer science

• Source: SpringSim

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A Markov Random Field Model of Context for High-Level Information Fusion

• Authors : Joseph Giampapa; Katia Sycara; Robin Glinton

Subjects: Matching (statistics); Markov random field; Computer science

• Source: FUSION

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