Zobrazeno 1 - 10
of 130
pro vyhledávání: '"Marta Sabou"'
Publikováno v:
CLEI Electronic Journal, Vol 21, Iss 1, Pp 4:1-4:13 (2018)
[Context] Models play an important role in Software and Systems Engineering processes. Reviews are well-established methods for model quality assurance that support early and efficient defect detection. However, traditional document-based review proc
Externí odkaz:
https://doaj.org/article/fb1c463669704f8da1622b374317dfc5
Autor:
Anna Breit, Laura Waltersdorfer, Fajar J. Ekaputra, Marta Sabou, Andreas Ekelhart, Andreea Iana, Heiko Paulheim, Jan Portisch, Artem Revenko, Annette ten Teije, Frank van Harmelen
Publikováno v:
ACM Computing Surveys.
In line with the general trend in artificial intelligence research to create intelligent systems that combine learning and symbolic components, a new sub-area has emerged that focuses on combining machine learning (ML) components with techniques deve
Autor:
Marta Sabou, Axel Polleres
Our institute encompasses two core research groups (lead by Prof. Polleres and Prof. Sabou respectively) that synergistically work on several complementary topics related to Hybrid AI systems that combine both symbolic and sub-symbolic AI.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::128f61ab166aa2f404a8fe1014c1e086
Publikováno v:
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 8:132-140
The verification of Extended Entity Relationship (EER) diagrams and other conceptual models that capture the design of information systems is crucial to ensure reliable systems. To scale up verification processes to larger groups of experts, Human Co
Autor:
Fajar J. Ekaputra, Stefan Biffl, Marta Sabou, Alfred Einfalt, Lukas Krammer, Wolfgang Kastner
Publikováno v:
Semantic Web. 11:115-124
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031171048
As ontologies enable advanced intelligent applications, ensuring their correctness is crucial. While many quality aspects can be automatically verified, some evaluation tasks can only be solved with human intervention. Nevertheless, there is currentl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7dfecbe962e31cf5ae6f97f734859e6
https://doi.org/10.1007/978-3-031-17105-5_14
https://doi.org/10.1007/978-3-031-17105-5_14
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031143427
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24102b462ece10a7cd504f29d1ad6a6e
https://doi.org/10.1007/978-3-031-14343-4_33
https://doi.org/10.1007/978-3-031-14343-4_33
Publikováno v:
2021 8th International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA).
Autor:
Andreas Rauber, Ralf Mosshammer, Peb Ruswono Aryan, Marta Sabou, Alfred Einfalt, Tomasz Miksa, Daniel Hauer, Fajar J. Ekaputra
Publikováno v:
MSCPES@CPSIoTWeek
Explainability can help cyber-physical systems alleviating risk in automating decisions that are affecting our life. Building an explainable cyber-physical system requires deriving explanations from system events and causality between the system elem
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030871000
Both symbolic and subsymbolic AI research have seen a recent surge driven by innovative approaches, such as neural networks and knowledge graphs. Further opportunities lie in the combined use of these two paradigms in ways that benefit from their com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4064d051acddbcd4bd98926b6a079573
https://doi.org/10.1007/978-3-030-87101-7_9
https://doi.org/10.1007/978-3-030-87101-7_9