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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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| 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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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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Abstract:
Drug addiction in the United States generates significant health, economic, and social costs. One of the prominent ways in which traffickers smuggle drugs into the United States is by maritime shipments from South America. In 1989 Joint Interagency Task Force South (JIATF-S) was established to fight these traffickers. JIATF-S collects information from multiple sources, which can be broadly classified into two categories. The first category is sensor-based sources that produce observations about possible targets (e.g., radar, sonar). These observations provide precise location and time but are susceptible to false positive and false negative errors regarding their content. The second category is human-based sources, including tips, messages and intercepted communications among humans. In addition to possible misinformation regarding the content of an event, such inputs are also susceptible to errors regarding the location and time of the event. In this thesis we develop a data fusion model that can assist JIATF-S in estimating the likelihood that a certain target (i.e., drug-smuggling vessel) is present at a certain location at a certain time and evaluate the reliability of the information source. The novelty of this thesis is manifested in a new probabilistic approach for utilizing human-generated intelligence, and in the way it is combined with sensor-generated intelligence. ; http://archive.org/details/combiningmultipl1094537751 ; Captain, Israel Defense Forces ; Approved for public release; distribution is unlimited.
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Keyword:
Bayesian Update; Data Fusion; Dempster-Shafer; HUMINT; Intelligence Cycle; Intelligence Processing; SIGINT
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URL: http://hdl.handle.net/10945/37751
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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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