Zobrazeno 1 - 6
of 6
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adff46c4d1788638b67334fba23fc215
https://doi.org/10.1609/aaai.v35i10.17112
https://doi.org/10.1609/aaai.v35i10.17112
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6df643b21e1cda50d441a8a9cac9b96
https://doi.org/10.1109/icpr48806.2021.9413267
https://doi.org/10.1109/icpr48806.2021.9413267
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2aa507aa1f7bc48fcc2538fcbf66b354
https://doi.org/10.1109/icpr48806.2021.9412566
https://doi.org/10.1109/icpr48806.2021.9412566
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
This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, Lithuania, in September 2024. The papers prese
Organizations have moved already from the rigid structure of classical project management towards the adoption of agile approaches. This holds also true for software development projects, which need to be flexible to adopt to rapid requests of client