Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Johannes Jakubik"'
Autor:
Johannes Jakubik, Patrick Hemmer, Michael Vössing, Benedikt Blumenstiel, Andrea Bartos, Kamilla Mohr
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:12524-12530
In recent years, companies in the Architecture, Engineering, and Construction (AEC) industry have started exploring how artificial intelligence (AI) can reduce time-consuming and repetitive tasks. One use case that can benefit from the adoption of AI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f9ab68db51f7983cefacc29042de824
https://doi.org/10.1609/aaai.v36i11.21522
https://doi.org/10.1609/aaai.v36i11.21522
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031236174
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c7d9c7b83512707f68c55bb0d69346a
https://doi.org/10.1007/978-3-031-23618-1_24
https://doi.org/10.1007/978-3-031-23618-1_24
Machine learning (ML) models are increasingly being used in application domains that often involve working together with human experts. In this context, it can be advantageous to defer certain instances to a single human expert when they are difficul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a221aea3c55da6a9631f938a7212ee8
Publikováno v:
European Journal of Operational Research, 295 (1)
Particle swarm optimization (PSO) is an iterative search method that moves a set of candidate solution around a search-space towards the best known global and local solutions with randomized step lengths. PSO frequently accelerates optimization in pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ba809c7ac31b303da65c698791ed6d3
https://hdl.handle.net/20.500.11850/471306
https://hdl.handle.net/20.500.11850/471306
Incorporating Financial News for Forecasting Bitcoin Prices Based on Long Short-Term Memory Networks
Publikováno v:
SSRN Electronic Journal.
In this paper we investigate how a deep learning machine learning model can be applied to improve Bitcoin price forecasting and trading by incorporating unstructured information from financial news. The two-stage model we propose outperforms other ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25c5d72eeaa2320bd49eb4a7930af179
https://doi.org/10.2139/ssrn.3733398
https://doi.org/10.2139/ssrn.3733398
Publikováno v:
Production Engineering. 13:33-41
Intelligent systems, that support the maintenance of production resources, offer real-time data-based approaches to optimize the maintenance effort and to reduce the usage of resources within production systems. However, unused potentials remain rega
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a640c5ae7086b5a6c5cd4c50d7837a0f
https://doi.org/10.1007/s11740-018-0855-7
https://doi.org/10.1007/s11740-018-0855-7