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Jan Gertheiss
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2020 – today
- 2023
- [j4]Leonie Selk, Jan Gertheiss:
Nonparametric regression and classification with functional, categorical, and mixed covariates. Adv. Data Anal. Classif. 17(2): 519-543 (2023) - [c3]Jan Gertheiss, Russell T. Shinohara:
Penalized Non-Linear Canonical Correlation Analysis for Ordinal Data with Application to the International Classification of Functioning, Disability and Health. SDM 2023: 532-540 - 2022
- [c2]Carsten Hesselmann, Delphine Reinhardt
, Jan Gertheiss, Jörg P. Müller:
Data Privacy in Ride-Sharing Services: From an Analysis of Common Practices to Improvement of User Awareness. NordSec 2022: 20-39 - 2021
- [c1]Jan Gertheiss, Florian Jaehn:
Route Planning Under Uncertainty: A Case Study on Objectives Apart from Mean Travel Time. OR 2021: 261-267 - [i1]Carsten Hesselmann, Jan Gertheiss, Jörg P. Müller:
Ride Sharing & Data Privacy: An Analysis of the State of Practice. CoRR abs/2110.09188 (2021) - 2020
- [j3]Basel Alhaji, Janine Beecken, Rüdiger Ehlers
Engineering Human-Machine Teams for Trusted Collaboration. Big Data Cogn. Comput. 4(4): 35 (2020)
2010 – 2019
- 2017
- [j2]Jan Gertheiss, Jeff Goldsmith, Ana-Maria Staicu
A note on modeling sparse exponential-family functional response curves. Comput. Stat. Data Anal. 105: 46-52 (2017) - 2013
- [p1]Jan Gertheiss, Veronika Stelz, Gerhard Tutz:
Regularization and Model Selection with Categorical Covariates. Algorithms from and for Nature and Life 2013: 215-222
2000 – 2009
- 2009
- [j1]Jan Gertheiss, Gerhard Tutz:
Supervised feature selection in mass spectrometry-based proteomic profiling by blockwise boosting. Bioinform. 25(8): 1076-1077 (2009)
Coauthor Index
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