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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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Abstract:
The commercial flightdeck is a naturally multi-tasking work environment, one in which interruptions are frequent come in various forms, contributing in many cases to aviation incident reports. Automatic characterization of pilots’ workloads is essential to preventing these kind of incidents. In addition, minimizing the physiological sensor network as much as possible remains both a challenge and a requirement. Electroencephalogram (EEG) signals have shown high correlations with specific cognitive and mental states, such as workload. However, there is not enough evidence in the literature to validate how well models generalize in cases of new subjects performing tasks with workloads similar to the ones included during the model’s training. In this paper, we propose a convolutional neural network to classify EEG features across different mental workloads in a continuous performance task test that partly measures working memory and working memory capacity. Our model is valid at the general population level and it is able to transfer task learning to pilot mental workload recognition in a simulated operational environment.
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Keyword:
cognitive states; EEG analysis; mental workload; multimodal data fusion; neural networks
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URL: https://doi.org/10.3390/app12052298
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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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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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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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Mobile Active Authentication via Linguistic Modalities
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In: DTIC (2015)
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A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules
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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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Data fusion with computational intelligence techniques: a case study of fuzzy inference for terrain assessment
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Face Recognition and Event Detection in Video: An Overview of PROVE-IT Projects
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Towards a Simple and Efficient Web Search Framework
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In: DTIC (2014)
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On the Design of an Intelligent Sensor Network for Flash Flood Monitoring, Diagnosis and Management in Urban Areas
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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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Combining multiple types of intelligence to generate probability maps of moving targets
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Employing the Intelligence Cycle Process Model Within the Homeland Security Enterprise
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In: DTIC (2013)
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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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Combining Multiple Types of Intelligence to Generate Probability Maps of Moving Targets
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In: DTIC (2013)
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