Supervised feature selection in mass spectrometry-based proteomic profiling by blockwise boosting. - Jan Gertheiss; Gerhard Tutz 001 (Bioinform., 2009)

Regularization and Model Selection with Categorical Covariates. - Jan Gertheiss; Veronika Stelz; Gerhard Tutz 001 (Algorithms from and for Nature and Life, 2013)

A note on modeling sparse exponential-family functional response curves. - Jan Gertheiss; Jeff Goldsmith; Ana-Maria Staicu (Comput. Stat. Data Anal., 2017)

Engineering Human-Machine Teams for Trusted Collaboration. - Basel Alhaji; Janine Beecken; Rüdiger Ehlers; Jan Gertheiss; Felix Merz; Jörg P. Müller; Michael Prilla; Andreas Rausch 001; Andreas Reinhardt 001; Delphine Reinhardt; Christian Rembe; Niels-Ole Rohweder; et al. (Big Data Cogn. Comput., 2020)

Route Planning Under Uncertainty: A Case Study on Objectives Apart from Mean Travel Time. - Jan Gertheiss; Florian Jaehn (OR, 2021)

Ride Sharing & Data Privacy: An Analysis of the State of Practice. - Carsten Hesselmann; Jan Gertheiss; Jörg P. Müller (CoRR, 2021)

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 (NordSec, 2022)

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 (SDM, 2023)

Nonparametric regression and classification with functional, categorical, and mixed covariates. - Leonie Selk; Jan Gertheiss (Adv. Data Anal. Classif., 2023)