default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBeate Sick
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2023
[j7]Marcel Arpogaus
, Marcus Voss, Beate Sick, Mark Nigge-Uricher, Oliver Dürr:
Short-Term Density Forecasting of Low-Voltage Load Using Bernstein-Polynomial Normalizing Flows. IEEE Trans. Smart Grid 14(6): 4902-4911 (2023)- 2022
- [j6]Lucas Kook, Lisa Herzog, Torsten Hothorn, Oliver Dürr, Beate Sick:
Deep and interpretable regression models for ordinal outcomes. Pattern Recognit. 122: 108263 (2022) - [j5]Lucas Kook, Beate Sick, Peter Bühlmann:
Distributional anchor regression. Stat. Comput. 32(3): 39 (2022) - 2020
- [j4]Lisa Herzog, Elvis Murina, Oliver Dürr, Susanne Wegener, Beate Sick:
Integrating uncertainty in deep neural networks for MRI based stroke analysis. Medical Image Anal. 65: 101790 (2020) - 2019
- [j3]Janick Rohrbach, Tobias Reinhard, Beate Sick, Oliver Dürr:
Bone erosion scoring for rheumatoid arthritis with deep convolutional neural networks. Comput. Electr. Eng. 78: 472-481 (2019) - 2009
- [j2]Brian E. Howard, Beate Sick, Steffen Heber:
Unsupervised assessment of microarray data quality using a Gaussian mixture model. BMC Bioinform. 10 (2009) - 2005
- [j1]Michael Psarros, Steffen Heber, Manuela Sick, Gnanasekaran Thoppae, Keith Harshman, Beate Sick:
RACE: Remote Analysis Computation for gene Expression data. Nucleic Acids Res. 33(Web-Server-Issue): 638-643 (2005)
Conference and Workshop Papers
- 2024
- [c5]Daniel Dold, David Rügamer, Beate Sick, Oliver Dürr:
Bayesian Semi-structured Subspace Inference. AISTATS 2024: 1819-1827 - 2020
- [c4]Beate Sick, Torsten Hothorn, Oliver Dürr:
Deep transformation models: Tackling complex regression problems with neural network based transformation models. ICPR 2020: 2476-2481 - 2009
- [c3]Brian E. Howard, Beate Sick, Steffen Heber:
Practical Quality Assessment of Microarray Data by Simulation of Differential Gene Expression. ISBRA 2009: 18-27 - 2007
- [c2]Brian E. Howard, Beate Sick, Imara Perera, Yang Ju Im, Heike Winter-Sederoff, Steffen Heber:
Quality Assessment of Affymetrix GeneChip Data using the EM Algorithm and a Naive Bayes Classifier. BIBE 2007: 145-150 - 2006
- [c1]Steffen Heber, Beate Sick:
Automatic quality assessment of Affymetrix GeneChip data. ACM Southeast Regional Conference 2006: 411-416
Parts in Books or Collections
- 2019
- [p1]Thilo Stadelmann, Vasily Tolkachev, Beate Sick, Jan Stampfli, Oliver Dürr:
Beyond ImageNet: Deep Learning in Industrial Practice. Applied Data Science 2019: 205-232
Informal and Other Publications
- 2024
- [i10]Daniel Dold, David Rügamer, Beate Sick, Oliver Dürr:
Bayesian Semi-structured Subspace Inference. CoRR abs/2401.12950 (2024) - 2023
- [i9]Kai Brach, Beate Sick, Oliver Dürr:
Single-shot Bayesian approximation for neural networks. CoRR abs/2308.12785 (2023) - 2022
- [i8]Oliver Dürr, Stephan Hörling, Daniel Dold, Ivonne Kovylov, Beate Sick:
Bernstein Flows for Flexible Posteriors in Variational Bayes. CoRR abs/2202.05650 (2022) - [i7]Marcel Arpogaus, Marcus Voss, Beate Sick, Mark Nigge-Uricher, Oliver Dürr:
Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing Flows. CoRR abs/2204.13939 (2022) - [i6]Lucas Kook, Andrea Götschi, Philipp F. M. Baumann, Torsten Hothorn, Beate Sick:
Deep interpretable ensembles. CoRR abs/2205.12729 (2022) - 2021
- [i5]Sefan Hörtling, Daniel Dold, Oliver Dürr, Beate Sick:
Transformation Models for Flexible Posteriors in Variational Bayes. CoRR abs/2106.00528 (2021) - 2020
- [i4]Beate Sick, Torsten Hothorn, Oliver Dürr:
Deep transformation models: Tackling complex regression problems with neural network based transformation models. CoRR abs/2004.00464 (2020) - [i3]Kai Brach, Beate Sick, Oliver Dürr:
Single Shot MC Dropout Approximation. CoRR abs/2007.03293 (2020) - [i2]Lisa Herzog, Elvis Murina, Oliver Dürr, Susanne Wegener, Beate Sick:
Integrating uncertainty in deep neural networks for MRI based stroke analysis. CoRR abs/2008.06332 (2020) - [i1]Lucas Kook, Lisa Herzog, Torsten Hothorn, Oliver Dürr, Beate Sick:
Ordinal Neural Network Transformation Models: Deep and interpretable regression models for ordinal outcomes. CoRR abs/2010.08376 (2020)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:23 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
