Explaining the impact of source behaviour in evidential reasoning

Autor: Maximilian Zocholl, Paweł Kowalski, Anne-Laure Jousselme

Publikováno v: Information Fusion. 81:41-58

Explanation abilities are required for data-driven models, where the high number of parameters may render its internal reasoning opaque to users. Despite the natural transparency brought by the graphical model structure of Bayesian networks, decision

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d89fbcd65926e2005eaeb000481eb802
https://doi.org/10.1016/j.inffus.2021.11.007

Towards a NATO Lessons Learned Ontology

Autor: Jacqueline Eaton, Anne-Laure Jousselme, Maximilian Zocholl

Publikováno v: 2021 International Conference on Military Communication and Information Systems (ICMCIS).

Lessons capture knowledge about events, actions taken and their consequences. They describe errors committed in the past that shall not be repeated in the future as well as successes and how they can be repeated. In both cases lessons may provide an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7527e040d88a48b60597d69a2953c169
https://doi.org/10.1109/icmcis52405.2021.9486416

Mobility Data: A Perspective from the Maritime Domain

Autor: Maximilian Zocholl, Cyril Ray, Clément Iphar, Richard Dreo, Elena Camossi, Anne-Laure Jousselme

Publikováno v: Big Data Analytics for Time-Critical Mobility Forecasting ISBN: 9783030451639
Big Data Analytics for Time-Critical Mobility Forecasting

This chapter overviews maritime operational situations and underlying challenges that the automated processing of maritime mobility data would support with the detection of threats and abnormal activities. The maritime use cases and scenarios are gea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::49020ad7a35171513965da326ed8ff1b
https://doi.org/10.1007/978-3-030-45164-6_1

Use case design and big data analytics evaluation for fishing monitoring

Autor: Richard Dreo, Maximilian Zocholl, Clément Iphar, Elena Camossi, Melita Hadzagic, Cyril Ray, Anne-Laure Jousselme

Publikováno v: OCEANS 2019 - Marseille.

This work reports on the maritime use case development and evaluation of the prototype of the project Big Data Analytics for Time Critical Mobility Forecasting (datAcron), which was funded by the European Union Horizon 2020 programme. datAcron aimed

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::428f1e6c1c4c724a8298a770ccf65b33
https://doi.org/10.1109/oceanse.2019.8867554

Evaluation of Maritime Event Detection Against Missing Data

Autor: Manolis Pitsikalis, Cyril Ray, Anne-Laure Jousselme, Clément Iphar, Maximilian Zocholl, Alexander Artikis

Publikováno v: Communications in Computer and Information Science ISBN: 9783030292379
QUATIC

Detecting and preventing maritime events like collisions or unusual behaviour of vessels are of high importance for maritime safety and security. As the trust of human operators in automated maritime event detection and prediction depends on the qual

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0f46c70ed6eb5c42aff967ba80039c68
https://doi.org/10.1007/978-3-030-29238-6_20