Beate Sick - researchr alias

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Viewing Publication 1 - 17 from 17

2025

Interpretable Neural Causal Models with TRAM-DAGsBeate Sick, Oliver Dürr. clear2 2025: 606-630 [doi]

2024

2023

Short-Term Density Forecasting of Low-Voltage Load Using Bernstein-Polynomial Normalizing FlowsMarcel Arpogaus, Marcus Voss, Beate Sick, Mark Nigge-Uricher, Oliver Dürr. tsg, 14(6):4902-4911, November 2023. [doi]

2022

Distributional anchor regressionLucas Kook, Beate Sick, Peter Bühlmann. sac, 32(3):39, 2022. [doi]

Deep and interpretable regression models for ordinal outcomesLucas Kook, Lisa Herzog, Torsten Hothorn, Oliver Dürr, Beate Sick. PR, 122:108263, 2022. [doi]

2020

Integrating uncertainty in deep neural networks for MRI based stroke analysisLisa Herzog, Elvis Murina, Oliver Dürr, Susanne Wegener, Beate Sick. mia, 65:101790, 2020. [doi]

Deep transformation models: Tackling complex regression problems with neural network based transformation modelsBeate Sick, Torsten Hothorn, Oliver Dürr. icpr 2021: 2476-2481 [doi]

2019

Bone erosion scoring for rheumatoid arthritis with deep convolutional neural networksJanick Rohrbach, Tobias Reinhard, Beate Sick, Oliver Dürr. cee, 78:472-481, 2019. [doi]

Beyond ImageNet: Deep Learning in Industrial PracticeThilo Stadelmann, Vasily Tolkachev, Beate Sick, Jan Stampfli, Oliver Dürr. In Martin Braschler, Thilo Stadelmann, Kurt Stockinger, editors, Applied Data Science - Lessons Learned for the Data-Driven Business. pages 205-232, Springer, 2019. [doi]

2009

Practical Quality Assessment of Microarray Data by Simulation of Differential Gene ExpressionBrian E. Howard, Beate Sick, Steffen Heber. isbra 2009: 18-27 [doi]

Unsupervised assessment of microarray data quality using a Gaussian mixture modelBrian E. Howard, Beate Sick, Steffen Heber. bmcbi, 10, 2009. [doi]

2007

Quality Assessment of Affymetrix GeneChip Data using the EM Algorithm and a Naive Bayes ClassifierBrian E. Howard, Beate Sick, Imara Perera, Yang Ju Im, Heike Winter-Sederoff, Steffen Heber. bibe 2007: 145-150 [doi]

2006

Automatic quality assessment of Affymetrix GeneChip dataSteffen Heber, Beate Sick. ACMse 2006: 411-416 [doi]

2005

::::RACE::::: Remote Analysis Computation for gene Expression dataMichael Psarros, Steffen Heber, Manuela Sick, Gnanasekaran Thoppae, Keith Harshman, Beate Sick. nar, 33(Web-Server-Issue):638-643, 2005. [doi]

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