Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Clemens Stachl"'
Autor:
Julian Scharbert, Sarah Humberg, Lara Kroencke, Thomas Reiter, Sophia Sakel, Julian ter Horst, Katharina Utesch, Samuel D. Gosling, Gabriella Harari, Sandra C. Matz, Ramona Schoedel, Clemens Stachl, Natalia M. A. Aguilar, Dayana Amante, Sibele D. Aquino, Franco Bastias, Alireza Bornamanesh, Chloe Bracegirdle, Luís A. M. Campos, Bruno Chauvin, Nicoleen Coetzee, Anna Dorfman, Monika dos Santos, Rita W. El-Haddad, Malgorzata Fajkowska, Asli Göncü-Köse, Augusto Gnisci, Stavros Hadjisolomou, William W. Hale, Maayan Katzir, Lili Khechuashvili, Alexander Kirchner-Häusler, Patrick F. Kotzur, Sarah Kritzler, Jackson G. Lu, Gustavo D. S. Machado, Khatuna Martskvishvili, Francesca Mottola, Martin Obschonka, Stefania Paolini, Marco Perugini, Odile Rohmer, Yasser Saeedian, Ida Sergi, Maor Shani, Ewa Skimina, Luke D. Smillie, Sanaz Talaifar, Thomas Talhelm, Tülüce Tokat, Ana Torres, Claudio V. Torres, Jasper Van Assche, Liuqing Wei, Aslı Yalçın, Maarten van Zalk, Markus Bühner, Mitja D. Back
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract The Russian invasion of Ukraine on February 24, 2022, has had devastating effects on the Ukrainian population and the global economy, environment, and political order. However, little is known about the psychological states surrounding the o
Externí odkaz:
https://doaj.org/article/5c4f3fcfa41f4c0bb742e72f968468b5
Autor:
Sandra C. Matz, Christina S. Bukow, Heinrich Peters, Christine Deacons, Alice Dinu, Clemens Stachl
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract Student attrition poses a major challenge to academic institutions, funding bodies and students. With the rise of Big Data and predictive analytics, a growing body of work in higher education research has demonstrated the feasibility of pred
Externí odkaz:
https://doaj.org/article/77f17f86c79743ed804fecd56f5d8ac0
Autor:
Sandra C. Matz, Christina S. Bukow, Heinrich Peters, Christine Deacons, Alice Dinu, Clemens Stachl
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-2 (2023)
Externí odkaz:
https://doaj.org/article/c909ea3935014f3583ab1adf261729a8
Publikováno v:
Future Generation Computer Systems. 136:322-325
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2f3542eaf453c733456e2a5666d6422
https://doi.org/10.1016/j.future.2022.06.011
https://doi.org/10.1016/j.future.2022.06.011
Publikováno v:
Data Mining and Knowledge Discovery. 36:1401-1450
Interpretable machine learning has become a very active area of research due to the rising popularity of machine learning algorithms and their inherently challenging interpretability. Most work in this area has been focused on the interpretation of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::780fa03af34ea7a0c061f24f5f445a24
https://doi.org/10.1007/s10618-022-00840-5
https://doi.org/10.1007/s10618-022-00840-5
Autor:
David Rügamer, Andreas Bender, Simon Wiegrebe, Daniel Racek, Bernd Bischl, Christian L. Müller, Clemens Stachl
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783031264184
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75825b02e2d667ace8c527bd2bbd2411
https://doi.org/10.1007/978-3-031-26419-1_2
https://doi.org/10.1007/978-3-031-26419-1_2
Autor:
Zachariah Marrero, Samuel D. Gosling, Ramona Schoedel, Markus Bühner, Sandrine R. Müller, Clemens Stachl, Gabriella M. Harari, Sumer S. Vaid
Publikováno v:
European Journal of Personality. 34:649-669
People around the world own digital media devices that mediate and are in close proximity to their daily behaviours and situational contexts. These devices can be harnessed as sensing technologies to collect information from sensor and metadata logs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c696c4cb305c0ebe5fa115eaa7fb04ab
https://doi.org/10.1002/per.2273
https://doi.org/10.1002/per.2273
Publikováno v:
Davidson, B, Ellis, D, Stachl, C, Taylor, P & Joinson, A 2022, ' Measurement practices exacerbate the generalizability crisis : Novel digital measures can help ', Behavioral and Brain Sciences, vol. 45, 2100053 . https://doi.org/10.31234/osf.io/8abzy, https://doi.org/10.1017/S0140525X21000534
Psychology's tendency to focus on confirmatory analyses before ensuring constructs are clearly defined and accurately measured is exacerbating the generalizability crisis. Our growing use of digital behaviors as predictors has revealed the fragility
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::799cd01a00b89244b9b945fd390a36b4
https://doi.org/10.1017/s0140525x21000534
https://doi.org/10.1017/s0140525x21000534
Autor:
Efsun Birtwistle, Ramona Schoedel, Florian Bemmann, Astrid Wirth, Christoph Sürig, Clemens Stachl, Markus Bühner, Frank Niklas
Publikováno v:
International Journal of Testing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c235a2df1b0d81465f55f898003560e
Autor:
Johannes Wild, Clemens Stachl, Elisabeth Kraus, Stefan Coors, Stefan Krauss, David Goretzko, Mario Frei, Alfred Lindl, Bernd Bischl, Sven Hilbert
Publikováno v:
Review of Education. 9
Classical statistical methods are limited in the analysis of highdimensional datasets. Machine learning (ML) provides a powerful framework for prediction by using complex relationships, often encountered in modern data with a large number of variable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50b57ecfa6d4641c8cf029f8e28f9600
https://doi.org/10.1002/rev3.3310
https://doi.org/10.1002/rev3.3310