Jan Gertheiss

According to our database, Jan Gertheiss authored at least 9 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Nonparametric regression and classification with functional, categorical, and mixed covariates.

Leonie Selk, Jan Gertheiss

Adv. Data Anal. Classif., June, 2023

Penalized Non-Linear Canonical Correlation Analysis for Ordinal Data with Application to the International Classification of Functioning, Disability and Health.

Jan Gertheiss, Russell T. Shinohara

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

Data Privacy in Ride-Sharing Services: From an Analysis of Common Practices to Improvement of User Awareness.

Carsten Hesselmann, Delphine Reinhardt, Jan Gertheiss, Jörg P. Müller

Proceedings of the Secure IT Systems, 2022

2021

Ride Sharing & Data Privacy: An Analysis of the State of Practice.

Carsten Hesselmann, Jan Gertheiss, Jörg P. Müller

CoRR, 2021

Route Planning Under Uncertainty: A Case Study on Objectives Apart from Mean Travel Time.

Jan Gertheiss, Florian Jaehn

Proceedings of the Operations Research Proceedings 2021, Selected Papers of the International Conference of the Swiss, German and Austrian Operations Research Societies (SVOR/ASRO, GOR e.V., ÖGOR), University of Bern, Switzerland, August 31, 2021

2020

Engineering Human-Machine Teams for Trusted Collaboration.

Basel Alhaji, Janine Beecken, Rüdiger Ehlers, Jan Gertheiss, Felix Merz, Jörg P. Müller, Michael Prilla, Andreas Rausch, Andreas Reinhardt, Delphine Reinhardt, Christian Rembe, Niels-Ole Rohweder, Christoph Schwindt, Stephan Westphal, Jürgen Zimmermann

Big Data Cogn. Comput., 2020

2017

A note on modeling sparse exponential-family functional response curves.

Jan Gertheiss, Jeff Goldsmith, Ana-Maria Staicu

Comput. Stat. Data Anal., 2017

2013

Regularization and Model Selection with Categorical Covariates.

Jan Gertheiss, Veronika Stelz, Gerhard Tutz

Proceedings of the Algorithms from and for Nature and Life, 2013

2009

Supervised feature selection in mass spectrometry-based proteomic profiling by blockwise boosting.

Jan Gertheiss, Gerhard Tutz

Bioinform., 2009