Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Achim Kuwertz"'
Autor:
Tobias Dorrn, Achim Kuwertz
Publikováno v:
Artificial Intelligence and Machine Learning in Defense Applications IV.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d7fd3bde1a9fcba2ff1b66423e34172
https://doi.org/10.1117/12.2648385
https://doi.org/10.1117/12.2648385
Autor:
Almuth Muller, Achim Kuwertz
Publikováno v:
2022 Sensor Data Fusion: Trends, Solutions, Applications (SDF).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70c2006bce999cb55cf31a077da6f03f
https://doi.org/10.1109/sdf55338.2022.9931702
https://doi.org/10.1109/sdf55338.2022.9931702
Autor:
Almuth Müller, Achim Kuwertz
This paper presents a concept for a two-tire semi-automated approach for business data entity resolution. Resolving entity names is generally relevant e.g. in business intelligence. When applied, several difficulties have to be considered, such as na
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::caa199bbd992608b55c0f0f72c68481f
Autor:
Achim Kuwertz, Jennifer Sander
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030732707
IHIET (Strasbourg)
IHIET (Strasbourg)
Explainable Artificial Intelligence (XAI) aims at making the results of Artificial Intelligence (AI) applications more understandable. It may also help to understand the applications themselves and to get an insight into how results are obtained. Suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10c7fe8bab5c73298ae9dc3a0cc20263
https://doi.org/10.1007/978-3-030-74009-2_1
https://doi.org/10.1007/978-3-030-74009-2_1
Publikováno v:
Artificial Intelligence and Machine Learning in Defense Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03b8f1c1deb6bac4ed909130d4aa0bfd
https://doi.org/10.1117/12.2533320
https://doi.org/10.1117/12.2533320
Publikováno v:
Human Systems Engineering and Design II ISBN: 9783030279271
IHSED
IHSED
Given the importance of early warning in crisis prevention this paper discusses both knowledge-based and data-driven approaches. Traditional knowledge-based methods are often of limited suitability for use in crisis prevention and management, since t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f85c20cdc5bbfec5e0a27fda5637e82
https://doi.org/10.1007/978-3-030-27928-8_78
https://doi.org/10.1007/978-3-030-27928-8_78
Publikováno v:
Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation 2019.
The main challenge of computer linguistics is to represent the meaning of text in a computer model. Statistics based methods with manually created features have been used for more than 30 years with a divide and conquer approach to mark interesting f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4d6993b2ebf8f27cef45bf20f31ab21
https://doi.org/10.1117/12.2518599
https://doi.org/10.1117/12.2518599
Autor:
Jrgen Beyerer, Achim Kuwertz
Publikováno v:
Journal of Applied Logic. 19:102-127
Adaptive knowledge modeling is an approach for extending the abilities of the Object-Oriented World Model, a system for representing the state of an observed real-world environment, to open-world modeling. In open environments, entities unforeseen at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2b02d412f69701e295245c9507eca6f
https://doi.org/10.1016/j.jal.2016.05.005
https://doi.org/10.1016/j.jal.2016.05.005
Publikováno v:
Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation 2018.
Today, drone technology has been made available around the world. Anyone can purchase a drone from an online retailer. Government agencies and military are seeing a rise in drones used for terrorism, destruction and espionage. The emergence of threat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c799323e33f0e39edefed8fdd000ac4
https://doi.org/10.1117/12.2306148
https://doi.org/10.1117/12.2306148