Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Kai Weber"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 1, Pp 624-655 (2023)
A probabilistic neural network has been implemented to predict the malignancy of breast cancer cells, based on a data set, the features of which are used for the formulation and training of a model for a binary classification problem. The focus is pl
Externí odkaz:
https://doaj.org/article/cc330d0914cc49a39e604e7c426bae96
Publikováno v:
Mathematical Biosciences and Engineering. 20:624-655
A probabilistic neural network has been implemented to predict the malignancy of breast cancer cells, based on a data set, the features of which are used for the formulation and training of a model for a binary classification problem. The focus is pl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::363f774f29aad80eea4bb6bdb3ee409f
https://doi.org/10.3934/mbe.2023029
https://doi.org/10.3934/mbe.2023029
Autor:
Anastasia-M. Leventi-Peetz, Kai Weber
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031184604
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cf8dc83b327a21f8916cadfcbe9f072
https://doi.org/10.1007/978-3-031-18461-1_52
https://doi.org/10.1007/978-3-031-18461-1_52
Publikováno v:
Virtual and Augmented Reality (VR/AR) ISBN: 9783030790615
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3718a3914c430e94468a96670cfbc91
https://doi.org/10.1007/978-3-030-79062-2_10
https://doi.org/10.1007/978-3-030-79062-2_10
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030821920
IntelliSys (1)
IntelliSys (1)
Certain aspects of the explainability of AI systems will be critically discussed. This especially with focus on the feasibility of the task of making every AI system explainable. Emphasis will be given to difficulties related to the explainability of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c437a3bec543d8af3d6228869a86fcf
https://doi.org/10.1007/978-3-030-82193-7_19
https://doi.org/10.1007/978-3-030-82193-7_19
Publikováno v:
POS@SAT
Performing hundreds of test runs and a source-code analysis, we empirically identified improved parameter configurations for the CryptoMiniSat (CMS) 5 for solving cryptographic CNF instances originating from algebraic known-plaintext attacks on 3 rou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::013a78c45a69eb770c1b7b4f8c413bb2
Publikováno v:
Web3D
In this paper, we present and evaluate a web service that offers cloud-based machine learning services to improve Augmented Reality applications on mobile and web clients with special regards to tracking quality and registration of complex scenes tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92cb7916d1844947822b3074a20a7a60
https://doi.org/10.1145/3329714.3338134
https://doi.org/10.1145/3329714.3338134
Publikováno v:
Virtual und Augmented Reality (VR/AR) ISBN: 9783662588604
Dieses Kapitel befasst sich mit der Erstellung von VR- und AR-Anwendungen. Im Zentrum der Betrachtung steht hierbei die Nutzung von Autorenwerkzeugen in Form von Softwarepaketen oder (Game) Engines. Zunachst soll kurz auf den eigentlichen Autorenproz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bcc3baba2a2485ed5b654899079f059
https://doi.org/10.1007/978-3-662-58861-1_10
https://doi.org/10.1007/978-3-662-58861-1_10
Publikováno v:
CW
The detection and segmentation of real objects along with their components is still an advanced topic. More detailed segmentation is needed to solve tasks like position and orientation estimation or for doing inpainting of components. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18b2e768ed1fb2b1a397e0e86e04c24c
https://doi.org/10.1109/cw.2018.00037
https://doi.org/10.1109/cw.2018.00037
Publikováno v:
Web3D
In this paper, we show how the quality of augmentation in mobile Mixed Reality applications can be improved using a cloud-based image segmentation approach with synthetic training data. Many modern Augmented Reality frameworks are based on visual ine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ead0066825800c0125f4cb631bbc52e4
https://doi.org/10.1145/3208806.3208813
https://doi.org/10.1145/3208806.3208813