Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Thoralf Reis"'
Autor:
Thomas Krause, Laura Glau, Patrick Newels, Thoralf Reis, Marco X. Bornschlegl, Michael Kramer, Matthias L. Hemmje
Publikováno v:
BioMedInformatics, Vol 4, Iss 3, Pp 1979-2001 (2024)
Background: Advancements in genomic technologies are rapidly evolving, with the potential to transform laboratory diagnostics by enabling high-throughput analysis of complex biological data, such as microbiome data. Large Language Models (LLMs) have
Externí odkaz:
https://doaj.org/article/7fcceff20057409190f72bb9be699704
Autor:
Thomas Krause, Mike Zickfeld, Sebastian Bruchhaus, Thoralf Reis, Marco X. Bornschlegl, Paolo Buono, Michael Kramer, Paul Mc Kevitt, Matthias Hemmje
Publikováno v:
Applied Biosciences, Vol 2, Iss 2, Pp 292-307 (2023)
Genomics-based diagnostic data (GBDD) are becoming increasingly important for laboratory diagnostics. Due to the large quantity of data and their heterogeneity, GBDD poses a big data challenge. Current analysis tools for GBDD are primarily designed f
Externí odkaz:
https://doaj.org/article/e6b872e6a7c748ccbcbea574c6d05d7c
Autor:
Thoralf Reis, Lukas Dumberger, Sebastian Bruchhaus, Thomas Krause, Verena Schreyer, Marco X. Bornschlegl, Matthias L. Hemmje
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 2, p 11 (2024)
Manual labeling and categorization are extremely time-consuming and, thus, costly. AI and ML-supported information systems can bridge this gap and support labor-intensive digital activities. Since it requires categorization, coding-based analysis, su
Externí odkaz:
https://doaj.org/article/1f9d226cfc694def93c8be2c6f8de066
Autor:
Thoralf Reis, Alexander Kreibich, Sebastian Bruchhaus, Thomas Krause, Florian Freund, Marco X. Bornschlegl, Matthias L. Hemmje
Publikováno v:
Big Data and Cognitive Computing, Vol 7, Iss 1, p 4 (2022)
The increasing availability of vast quantities of data from various sources significantly impacts the insurance industry, although this industry has always been data driven. It accelerates manual processes and enables new products or business models.
Externí odkaz:
https://doaj.org/article/278ed759412a4f20b8e9d2a6c5d376cd
Autor:
Thoralf Reis, Tim Funke, Sebastian Bruchhaus, Florian Freund, Marco X. Bornschlegl, Matthias L. Hemmje
Publikováno v:
Big Data and Cognitive Computing, Vol 6, Iss 4, p 103 (2022)
Climate change means coping directly or indirectly with extreme weather conditions for everybody. Therefore, analyzing meteorological data to create precise models is gaining more importance and might become inevitable. Meteorologists have extensive
Externí odkaz:
https://doaj.org/article/560ca69468ad476d9425f7fa987300f8
Autor:
Hemmje, Thomas Krause, Mike Zickfeld, Sebastian Bruchhaus, Thoralf Reis, Marco X. Bornschlegl, Paolo Buono, Michael Kramer, Paul Mc Kevitt, Matthias
Publikováno v:
Applied Biosciences; Volume 2; Issue 2; Pages: 292-307
Genomics-based diagnostic data (GBDD) are becoming increasingly important for laboratory diagnostics. Due to the large quantity of data and their heterogeneity, GBDD poses a big data challenge. Current analysis tools for GBDD are primarily designed f
Autor:
Thoralf Reis, Andreas Steffl, Sebastian Bruchhaus, Florian Freund, Marco X. Bornschlegl, Matthias L. Hemmje
Publikováno v:
2022 IEEE 5th International Conference on Big Data and Artificial Intelligence (BDAI).
Autor:
Hayette Hadjar, Matthias Hemmje, Thoralf Reis, Paul Mc Kevitt, Marco X. Bornschlegl, Felix Engel
Publikováno v:
Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications ISBN: 9783030680060
AVI-BDA/ITAVIS@AVI
AVI-BDA/ITAVIS@AVI
To make the SenseCare KM-EP system more useful and smart, we integrated emotion recognition from facial expression. People with dementia have capricious feelings; the target of this paper is measuring and predicting these facial expressions. Analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0d82a0a505c57146863bce1628cd2c0
https://doi.org/10.1007/978-3-030-68007-7_7
https://doi.org/10.1007/978-3-030-68007-7_7
Publikováno v:
Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications ISBN: 9783030680060
AVI-BDA/ITAVIS@AVI
AVI-BDA/ITAVIS@AVI
Public interest in the combined application domain of Artificial Intelligence (AI) - based Big Data Analysis and Visualization is currently peaking. Yet until recently, there was no reference model that provided common ground for information exchange
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::881ebcf853ae89e5879491f757eb2e87
https://doi.org/10.1007/978-3-030-68007-7_1
https://doi.org/10.1007/978-3-030-68007-7_1
Publikováno v:
Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications ISBN: 9783030680060
AVI-BDA/ITAVIS@AVI
AVI-BDA/ITAVIS@AVI
AI2VIS4BigData is a reference model for Artificial Intelligence (AI) - based Big Data Analysis and Visualization that provides uniform terminology and logical entity-relationships to scientists and professionals working in this application domain. It
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95d6f1c4bcda1b80c7ed66c2e5d91329
https://doi.org/10.1007/978-3-030-68007-7_9
https://doi.org/10.1007/978-3-030-68007-7_9