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pro vyhledávání: '"Ramses J. Sanchez"'
Autor:
Cesar Ojeda, Kostadin Cvejoski, Bodgan Georgiev, Christian Bauckhage, Jannis Schuecker, Ramses J. Sanchez
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:9214-9222
Modern society is heavily dependent on large scale client-server systems with applications ranging from Internet and Communication Services to sophisticated logistics and deployment of goods. To maintain and improve such a system, a careful study of
Autor:
Ramses J. Sanchez, Christian Bauckhagez, Bogdan Georgievz, Kostadin Cvejoski, Jannis Schucker, Cesar Ojeda
Publikováno v:
ICPR
In this paper we ask for the main factors that determine a classifier’s decision making process and uncover such factors by studying latent codes produced by auto-encoding frameworks. To deliver an explanation of a classifier’s behaviour, we prop
Autor:
Jannis Schucker, Kostadin Cvejoski, Christian Bauckhage, Bogdan Georgiev, Ramses J. Sanchez, Cesar Ojeda
Publikováno v:
ICPR
The problem of uncovering different dynamical regimes is of pivotal importance in time series analysis. Switching dynamical systems provide a solution for modeling physical phenomena whose time series data exhibit different dynamical modes. In this w
Deep neural network models represent the state-of-the-art methodologies for natural language processing. Here we build on top of these methodologies to incorporate temporal information and model how to review data changes with time. Specifically, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ab85d62df9b5bdf95f8f170a5673576