Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Maximilian Zocholl"'
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
Publikováno v:
OCEANS 2021: San Diego – Porto.
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
Publikováno v:
FUSION
One of the main threats to the underwater communication cables identified in the recent years is possible tampering or damage by malicious actors. This paper proposes a solution with explanation abilities to detect and investigate this kind of threat
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
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
https://doi.org/10.1007/978-3-030-45164-6_1
Autor:
Richard Dreo, Cyril Ray, Maximilian Zocholl, Elena Camossi, Anne-Laure Jousselme, Clément Iphar, Francesca de Rosa
Publikováno v:
OCEANS 2019 - Marseille.
In this paper, we report on the evaluation methodology developed to support the experimental plan to assess the big data prototype developed under the umbrella of the datAcron project. The datAcron prototype was decomposed along several semantic leve
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
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
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
https://doi.org/10.1007/978-3-030-29238-6_20
Autor:
Julian Lotz, Hermann Kloberdanz, Jan Würtenberger, Tillmann Freund, Sebastian Gramlich, Maximilian Zocholl
Publikováno v:
Applied Mechanics and Materials. 807:89-98
This paper gives an overview about how to locate uncertainty in product modelling within the development process. Therefore, the process of product modelling is systematized with the help of characteristics of product models and typical working steps