Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Johannes Haug"'
Autor:
Enkelejda Kasneci, Gjergji Kasneci, Tobias Appel, Johannes Haug, Franz Wortha, Maike Tibus, Ulrich Trautwein, Peter Gerjets
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-14 (2021)
Measurement(s) intelligence • eye movement • Socioeconomic Factors Technology Type(s) culture fair intelligence test (CFT-R) • eye tracking device • Questionnaire Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file
Externí odkaz:
https://doaj.org/article/61ff5de549b94a4c97836f6455c46d62
Publikováno v:
Multimodal Technologies and Interaction, Vol 2, Iss 2, p 27 (2018)
Cow lameness is a common manifestation in dairy cattle that causes severe health and life quality issues to cows, including pain and a reduction in their life expectancy. In our previous work, we introduced an algorithmic approach to automatically de
Externí odkaz:
https://doaj.org/article/36b1597c748242a59e080811a3beaf79
As complex machine learning models are increasingly used in sensitive applications like banking, trading or credit scoring, there is a growing demand for reliable explanation mechanisms. Local feature attribution methods have become a popular techniq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41e27260bcf80a469b09298fd885741c
Autor:
Vadim Borisov, Tobias Leemann, Kathrin Sessler, Johannes Haug, Martin Pawelczyk, Gjergji Kasneci
Heterogeneous tabular data are the most commonly used form of data and are essential for numerous critical and computationally demanding applications. On homogeneous data sets, deep neural networks have repeatedly shown excellent performance and have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ee2e4f1bd1226495b8734d0199f4023
http://arxiv.org/abs/2110.01889
http://arxiv.org/abs/2110.01889
Autor:
Gjergji Kasneci, Johannes Haug
Publikováno v:
ICPR
Data distributions in streaming environments are usually not stationary. In order to maintain a high predictive quality at all times, online learning models need to adapt to distributional changes, which are known as concept drift. The timely and rob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83b54758764bf2c4429b3edd09929c97
Publikováno v:
KDD
Feature selection can be a crucial factor in obtaining robust and accurate predictions. Online feature selection models, however, operate under considerable restrictions; they need to efficiently extract salient input features based on a bounded set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5c6d8b12cf24a1f44ffc5da61f589da
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030304836
ICANN (2)
ICANN (2)
Feature ranking (FR) and feature selection (FS) are crucial steps in data preprocessing; they can be used to avoid the curse of dimensionality problem, reduce training time, and enhance the performance of a machine learning model. In this paper, we p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49d88e2c30648e03ce10988d0f91d3f9
https://doi.org/10.1007/978-3-030-30484-3_6
https://doi.org/10.1007/978-3-030-30484-3_6
Publikováno v:
Multimodal Technologies and Interaction, Vol 2, Iss 2, p 27 (2018)
Multimodal Technologies and Interaction; Volume 2; Issue 2; Pages: 27
Multimodal Technologies and Interaction; Volume 2; Issue 2; Pages: 27
Cow lameness is a common manifestation in dairy cattle that causes severe health and life quality issues to cows, including pain and a reduction in their life expectancy. In our previous work, we introduced an algorithmic approach to automatically de