Analysis System for Gathered Raw Data

Informazioni relative al progetto

ASGARD

ID dell’accordo di sovvenzione: 700381

DOI

10.3030/700381

Progetto chiuso

Data della firma CE 26 Aprile 2016

Data di avvio 1 Settembre 2016

Data di completamento 30 Novembre 2020

Finanziato da

• Secure societies - Protecting freedom and security of Europe and its citizens

Costo totale

€ 11 992 556,25

Contributo UE

€ 11 992 553,25

Coordinato da

FUNDACION CENTRO DE TECNOLOGIAS DE INTERACCION VISUAL Y COMUNICACIONES VICOMTECH
Spain

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (8)

Quality Management Plan

This deliverable presents the quality policies and the definition of the quality assurance processes to be followed throughout the rest of the project

Data Protection Guidelines and Notifications

Due M24 - draft: M9

Final Demonstrations Results

Results and conclusions of the final demonstrations

Design of the certification programme

This deliverable presents the design of the training and certification programme of the ASGARD tools.

Report on datasets acquisition and/or creation

This deliverable describes the work done on dataset acquisition and/or creation of simulated (realistic) data for research purposes. It will include a data set gap matrix

Demonstrations Planning

Planning for the final demonstrations of ASGARD

Dissemination plan

Due M42 – draft M12 This deliverable presents the detailed dissemination plan as well as a summary of the related activities undertaken

Societal Impact Report

M41 - draft M15

Other (1)

Large-scale multimedia indexing tools

This deliverable includes the large-scale multimedia indexing tools developed and related documentation (i.e. release notes, user manual).

Pubblicazioni

Conference proceedings (10)

Semantic filtering for video stabilization

Autori: K. Karageorgos, A. Dimou, A. Axenopoulos, P. Daras, F. Alvarez
Pubblicato in: 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2017, Pagina/e 1-6, ISBN 978-1-5386-2939-0
Editore: IEEE
DOI: 10.1109/AVSS.2017.8078488

Automatic analysis of online image data for law enforcement agencies by concept detection and instance search

Autori: Henri Bouma, Maaike H. T. de Boer, Maarten C. Kruithof, Frank B. ter Haar, Noëlle M. Fischer, Laurens K. Hagendoorn, Bart Joosten, Stephan A. Raaijmakers
Pubblicato in: Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies, Numero Sep-17, 2017, Pagina/e 17, ISBN 9781-510613478
Editore: SPIE
DOI: 10.1117/12.2277970

Using Transfer Learning in Part-Of-Speech Tagging of English Tweets

Autori: Meftah, Sara & Semmar, Nasredine & Zennaki, Othman & Sadat, Fatiha.
Pubblicato in: The 8th Language and Technology Conference (LTC 2017), 2017
Editore: Lecture Notes in Artificial Intelligence series (Springer Verlag)

Visual Analytics Framework for the Assessment of Temporal Hypergraph Prediction Models

Autori: Dirk Streeb, Devanshu Arya, Daniel A. Keim, Marcel Worring
Pubblicato in: Proceeedings of the Set Visual Analytics Workshop at IEEE VIS 2019, 2019
Editore: IEEE

Visual Analytics of Conversational Dynamics

Autori: Seebacher, Daniel; Fischer, Maximilian T.; Sevastjanova, Rita; Keim, Daniel A.; El-Assady, Mennatallah
Pubblicato in: EuroVis Workshop on Visual Analytics (EuroVA), 2019, ISBN 978-3-03868-087-1
Editore: The Eurographics Association
DOI: 10.2312/eurova.20191130

Exploiting Relational Information in Social Networks using Geometric Deep Learning on Hypergraphs

Autori: Devanshu Arya, Marcel Worring
Pubblicato in: Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval - ICMR '18, 2018, Pagina/e 117-125, ISBN 9781-450350464
Editore: ACM Press
DOI: 10.1145/3206025.3206062

Flexible image analysis for law enforcement agencies with deep neural networks to determine: where, who and what

Autori: Henri Bouma, Bart Joosten, Maarten C. Kruithof, Maaike H. T. de Boer, Alexandru Ginsca, Benjamin Labbe, Quoc T. Vuong
Pubblicato in: Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies II, Numero vol. 10802, 2018, Pagina/e 27, ISBN 9781-510621886
Editore: SPIE
DOI: 10.1117/12.2325452

Rapid Annotation Tool to Train Novel Concept Detectors with Active Learning

Autori: Maaike H. T. de Boer, Henri Bouma, Maarten Kruithof and Bart Joosten
Pubblicato in: MMEDIA 2019: International Conference on Advances in Multimedia, 2019, Pagina/e 36-41, ISBN 978-1-61208-697-2
Editore: IARIA

Hate Speech Dataset from a White Supremacy Forum

Autori: Ona de Gibert, Naiara Perez, Aitor García-Pablos, Montse Cuadros
Pubblicato in: Proceedings of the 2nd Workshop on Abusive Language Online (ALW2), 2018, Pagina/e 11-20
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/w18-5102

Distances, Neighborhoods, or Dimensions? Projection Literacy for the Analysis of Multivariate Data

Autori: Dirk Streeb, Rebecca Kehlbeck, Dominik Jäckle, and Mennatallah El-Assady
Pubblicato in: Workshop on Visualization for AI Explainability, 2018
Editore: IEEE VIS

Book chapters (2)

DeepAD: A Generic Framework Based on Deep Learning for Time Series Anomaly Detection

Autori: Teodora Sandra Buda, Bora Caglayan, Haytham Assem
Pubblicato in: Advances in Knowledge Discovery and Data Mining, Numero 10937, 2018, Pagina/e 577-588, ISBN 978-3-319-93033-6
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-93034-3_46

Integrating Specialized Bilingual Lexicons of Multiword Expressions for Domain Adaptation in Statistical Machine Translation

Autori: Nasredine Semmar, Meriama Laib
Pubblicato in: Computational Linguistics, Numero 781, 2018, Pagina/e 101-114, ISBN 978-981-10-8437-9
Editore: Springer Singapore
DOI: 10.1007/978-981-10-8438-6_9

Peer reviewed articles (1)

Visual Analytics for Temporal Hypergraph Model Exploration

Autori: Maximilian T. Fischer, Devanshu Arya, Dirk Streeb, Daniel Seebacher, Daniel A. Keim, Marcel Worring
Pubblicato in: IEEE Transactions on Visualization and Computer Graphics, 2020, Pagina/e 1-1, ISSN 1077-2626
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tvcg.2020.3030408