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MEduKG: A Deep-Learning-Based Approach for Multi-Modal Educational Knowledge Graph Construction
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In: Information; Volume 13; Issue 2; Pages: 91 (2022)
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Recognition of the Mental Workloads of Pilots in the Cockpit Using EEG Signals
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In: Applied Sciences; Volume 12; Issue 5; Pages: 2298 (2022)
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Prediction and Visual Intelligence for Security Information: The PREVISION H2020 Project
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In: CIRCLE 2020 ; https://hal.archives-ouvertes.fr/hal-02877780 ; CIRCLE 2020, Iván Cantador; Max Chevalier; Massimo Melucci; Josiane Mothe, Jul 2020, Samatan, France ; http://ceur-ws.org/Vol-2621/ (2020)
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Multimodal deep networks for text and image-based document classification ; Réseau de neurones multimodal pour la classification de documents image/texte
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In: Conférence Nationale sur les Applications Pratiques de l'Intelligence Artificielle (APIA) ; https://hal.archives-ouvertes.fr/hal-02163257 ; Conférence Nationale sur les Applications Pratiques de l'Intelligence Artificielle (APIA), Jul 2019, Toulouse, France (2019)
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Data Fusion through Fuzzy-Bayesian Networks for Belief Generation in Cognitive Agents
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In: Revista de Informática Teórica e Aplicada; v. 26, n. 2 (2019); 69-80 ; 21752745 ; 01034308 (2019)
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Abstract:
Situation Awareness provides a theory for agents decision making to allow perception and comprehension of his environment. However, the transformation of the sensory stimulus in beliefs to favor the BDI reasoning cycle is still an unexplored subject. Autonomous agent projects often require the use of multiple sensors to capture environmental aspects. The natural variability of the physical world and the imprecision contained in linguistic concepts used by humans mean that sensory data contain different types of uncertainty in their measurements. Thus, to obtain the Situational Awareness for Agents with physical sensors, it is necessary to define a data fusion process to perform uncertainty treatment. This paper presents a model to beliefs generation using fuzzy-bayesian inference. An example in robotics navigation and location is used to illustrate the proposal.
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Keyword:
Artificial Intelligence; Situation Awareness; Data Fusion; Belief Generation; Fuzzy-Bayesian Networks
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URL: https://seer.ufrgs.br/rita/article/view/RITA_VOL26_NR2_69
https://doi.org/10.22456/2175-2745.87085
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| 7 |
Methodology for automatic bioacoustic classification of anurans based on feature fusion
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In: Expert Systems With Applications[ISSN 0957-4174],v. 50, p. 100-106 (2016)
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| 8 |
Disambiguation of Named Entities in Cultural Heritage Texts Using Linked Data Sets
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In: New Trends in Databases and Information Systems ; First International Workshop on Semantic Web for Cultural Heritage, SW4CH 2015 ; https://hal.archives-ouvertes.fr/hal-01203784 ; First International Workshop on Semantic Web for Cultural Heritage, SW4CH 2015, Sep 2015, Poitiers, France. pp.505-514, ⟨10.1007/978-3-319-23201-0_51⟩ (2015)
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| 9 |
Mobile Active Authentication via Linguistic Modalities
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In: DTIC (2015)
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| 10 |
A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules
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| 11 |
Aging time and brand determination of pasteurized milk using a multisensor e-nose combined with a voltammetric e-tongue
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In: ISSN: 0928-4931 ; Materials Science and Engineering: C ; https://hal.archives-ouvertes.fr/hal-01073780 ; Materials Science and Engineering: C, Elsevier, 2014, 45, pp.348-358. ⟨10.1016/j.msec.2014.09.030⟩ (2014)
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| 12 |
Data fusion with computational intelligence techniques: a case study of fuzzy inference for terrain assessment
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| 13 |
Face Recognition and Event Detection in Video: An Overview of PROVE-IT Projects
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| 14 |
Towards a Simple and Efficient Web Search Framework
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In: DTIC (2014)
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| 15 |
On the Design of an Intelligent Sensor Network for Flash Flood Monitoring, Diagnosis and Management in Urban Areas
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| 16 |
Applying query formulation and fusion techniques for cross language news story search
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In: Arora, Piyush orcid:0000-0002-4261-2860 , Foster, Jennifer orcid:0000-0002-7789-4853 and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2013) Applying query formulation and fusion techniques for cross language news story search. In: 5th Forum on Information Retrieval Evaluation (FIRE'13), 4 -6 Dec 2013, New Delhi, India. ISBN 978-1-4503- 2830-2 (2013)
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| 17 |
Combining multiple types of intelligence to generate probability maps of moving targets
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| 18 |
Employing the Intelligence Cycle Process Model Within the Homeland Security Enterprise
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In: DTIC (2013)
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| 19 |
Better Equipping Reserve Military Intelligence Analyst to Meet the Needs of the Commander by Championing a Process-Driven Training Model
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In: DTIC (2013)
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| 20 |
Combining Multiple Types of Intelligence to Generate Probability Maps of Moving Targets
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In: DTIC (2013)
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