Riezler, Stefan Prof.; Dr.Universität HeidelbergHeidelberg
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Co-Autoren (Uni Heidelberg)
- Schneider-Lindner, Verena (2)
- Lindner, Holger A. (2)
- Ganzinger, Matthias (1)
- Centner, Franz-Simon (1)
- Knaup-Gregori, Petra (1)
- Hartung, Matthias (1)
- Padó, Sebastian (1)
- Schöttler, Jochen (1)
- Mangold, Dennis (1)
- Löpprich, Martin (1)
- Lawrence, Carolin (1)
- Staniek, Michael (1)
- Beilharz, Benjamin (1)
- Sun, Xin (1)
- Karimova, Sariya (1)
- Richter-Pechanski, Phillip (1)
- Krauss, Felix (1)
- Senghas, Karsten (1)
- Kreutzer, Julia (1)
- Hahn, Bianka (1)
- Worm, Corinna (1)
- Dieterich, Christoph (1)
- Krebs, Jörg (1)
- Nitsch, Stephanie (1)
- Kirschning, Thomas (1)
- Schumann, Raphael (1)
- Lam, Tsz Kin (1)
- Kremer, Gerhard (1)
Co-Autoren (extern)
Neueste Publikationen in heiBIB 
(ingesamt sind 21 Publikationen erfasst)
- Riezler, Stefan: Validity, reliability, and significance : empirical methods for NLP and data science / by Stefan Riezler, Michael Hagmann. - 2nd ed. 2024. -
Cham: Springer Nature Switzerland, 2024. - 1 Online-Ressource (XVII, 168 p. 70 illus., 61 illus. in color.), ISBN 978-3-031-57065-0
(Synthesis Lectures on Human Language Technologies)
DOI: 10.1007/978-3-031-57065-0
- Staniek, Michael: Text-to-OverpassQL : a natural language interface for complex geodata querying of OpenStreetMap / Michael Staniek, Raphael Schumann, Maike Züfle, Stefan Riezler, April 30, 2024. - 14 S. : Illustrationen
In: Transactions of the Association for Computational Linguistics, ISSN 2307-387X. 12(2024), Seite 562-575
DOI: 10.1162/tacl_a_00654
- Riezler, Stefan: Validity, reliability, and significance : empirical methods for NLP and data science / Stefan Riezler, Michael Hagmann. - Second edition. -
Cham: Springer, [2024]. - xvii, 168 Seiten : Illustrationen, Diagramme, ISBN 978-3-031-57064-3
(Synthesis Lectures on Human Language Technologies)
- Riezler, Stefan: Validity, Reliability, and Significance : Empirical Methods for NLP and Data Science. -
San Rafael: Morgan & Claypool Publishers, [2022]. - 1 online resource (165 pages), ISBN 978-1-63639-272-1
(Synthesis lectures on human language technologies ; #55)
(Computer & information science : collection thirteen)
(Synthesis digital library of engineering and computer science)
- Lindner, Holger A.: Ground truth labels challenge the validity of sepsis consensus definitions in critical illness / Holger A. Lindner, Shigehiko Schamoni, Thomas Kirschning, Corinna Worm, Bianka Hahn, Franz-Simon Cen… , 15 January 2022. - 29 S.
In: Journal of translational medicine, ISSN 1479-5876. 20(2022), Artikel-ID 27, Seite 1-29
DOI: 10.1186/s12967-022-03228-7
- Riezler, Stefan: Validity, reliability, and significance : empirical methods for NLP and data science / Stefan Riezler, Michael Hagmann. -
San Rafael, CA: Morgan & Claypool Publishers, [2022]. - xvii, 165 Seiten : Illustrationen, Diagramme, ISBN 978-1-63639-271-4
(Synthesis lectures on human technologies ; #55)
DOI: 10.2200/S01137ED1V01Y202110HLT055
- Schamoni, Shigehiko: Leveraging implicit expert knowledge for non-circular machine learning in sepsis prediction / Shigehiko Schamoni, Holger A. Lindner, Verena Schneider-Lindner, Manfred Thiel, Stefan Riezler, 24 September 2019. - 9 S.
In: Artificial intelligence in medicine, ISSN 1873-2860. 100(2019) Artikel-Nummer 101725, 9 Seiten
DOI: 10.1016/j.artmed.2019.101725
- Beilharz, Benjamin: LibriVoxDeEn : a corpus for German-to-English speech translation and speech recognition / Benjamin Beilharz, Xin Sun, Sariya Karimova, Stefan Riezler, 18 Oct 2018. - 5 S.
In: De.arxiv.org. (2019) Artikel-Nummer 1910.07924, 5 Seiten
- Lam, Tsz Kin: A reinforcement learning approach to interactive-predictive neural machine translation / Tsz Kin Lam, Julia Kreutzer, Stefan Riezler, 2018. - 10 S.
In: Proceedings of the 21st Annual Conference of the European Association for Machine Translation. (2018), Artikel-ID 19, Seite 169-178
- Richter-Pechanski, Phillip: De-Identification of German medical admission notes / Phillip Richter-Pechanski, Stefan Riezler and Christoph Dieterich, [2018]. - 5 S.
In: German medical data sciences. 253(2018), Seite 165-169
DOI: 10.3233/978-1-61499-896-9-165
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