Comparing the usage of digital rights management systems in the music, film, and print industry. - Marc Fetscherin; Matthias Schmid (ICEC, 2003)

MEDF - A Simple Scheduling Algorithm for Two Real-Time Transport Service Classes with Application in the UTRAN. - Michael Menth; Matthias Schmid; Herbert Heiss; Thomas Reim (INFOCOM, 2003)

The application of digital rights management systems in the music industry - an empirical investigation. - Marc Fetscherin; Matthias Schmid (WEDELMUSIC, 2003)

Flexible boosting of accelerated failure time models. - Matthias Schmid; Torsten Hothorn (BMC Bioinform., 2008)

Boosting additive models using component-wise P-Splines. - Matthias Schmid; Torsten Hothorn (Comput. Stat. Data Anal., 2008)

Reliable automotive pre-crash system with out-of-sequence measurement processing. - Marc M. Muntzinger; Michael Aeberhard; Sebastian Zuther; Mirko Mählisch; Matthias Schmid; Jürgen Dickmann; Klaus Dietmayer (Intelligent Vehicles Symposium, 2010)

Model-based Boosting 2.0. - Torsten Hothorn; Peter Bühlmann; Thomas Kneib; Matthias Schmid; Benjamin Hofner (J. Mach. Learn. Res., 2010)

Estimation and regularization techniques for regression models with multidimensional prediction functions. - Matthias Schmid; Sergej Potapov; Annette B. Pfahlberg; Torsten Hothorn (Stat. Comput., 2010)

Ensemble classification of paired data. - Werner Adler; Alexander Brenning; Sergej Potapov; Matthias Schmid; Berthold Lausen (Comput. Stat. Data Anal., 2011)

Experimental Demonstration of Network Virtualization and Resource Flexibility in the COMCON Project. - Michael Duelli; Sebastian Meier; David P. Wagner; Thomas Zinner; Matthias Schmid; Marco Hoffmann; Wolfgang Kiess (TRIDENTCOM, 2012)

Evaluation of Video Quality Monitoring Based on Pre-computed Frame Distortions. - Dominik Klein 002; Thomas Zinner; Kathrin Borchert; Stanislav Lange; Vlad Singeorzan; Matthias Schmid (EUNICE, 2013)

Proceedings of Reisensburg 2010. - Harald Binder; Hans A. Kestler; Matthias Schmid (Comput. Stat., 2013)

On the potential of models for location and scale for genome-wide DNA methylation data. - Simone Wahl; Nora Fenske; Sonja Zeilinger; Karsten Suhre; Christian Gieger; Melanie Waldenberger; Harald Grallert; Matthias Schmid (BMC Bioinform., 2014)

Proceedings of Reisensburg 2011. - Harald Binder; Hans A. Kestler; Matthias Schmid (Comput. Stat., 2014)

Model-based boosting in R: a hands-on tutorial using the R package mboost. - Benjamin Hofner; Andreas Mayr; Nikolay Robinzonov; Matthias Schmid (Comput. Stat., 2014)

Unlabeling data can improve classification accuracy. - Ludwig Lausser; Florian Schmid; Matthias Schmid; Hans A. Kestler (Pattern Recognit. Lett., 2014)

On the validity of time-dependent AUC estimators. - Matthias Schmid; Hans A. Kestler; Sergej Potapov (Briefings Bioinform., 2015)

Adaptive control for spacecraft formation flying with solar radiation pressure and reduction of secular drift. - Aniketh Kalur; Kavyashree Shivakumar; Matthias Schmid; John L. Crassidis (ACC, 2016)

A framework for parameter estimation and model selection in kernel deep stacking networks. - Thomas Welchowski; Matthias Schmid (Artif. Intell. Medicine, 2016)

GiANT: gene set uncertainty in enrichment analysis. - Florian Schmid; Matthias Schmid; Christoph Müssel; J. Eric Sträng; Christian Buske; Lars Bullinger; Johann M. Kraus; Hans A. Kestler (Bioinform., 2016)

Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection. - Andreas Mayr; Benjamin Hofner; Matthias Schmid (BMC Bioinform., 2016)

A statistical model for the analysis of beta values in DNA methylation studies. - Leonie Weinhold; Simone Wahl; Sonali Pechlivanis; Per Hoffmann; Matthias Schmid (BMC Bioinform., 2016)

On the use of Harrell's C for clinical risk prediction via random survival forests. - Matthias Schmid; Marvin N. Wright; Andreas Ziegler 001 (Expert Syst. Appl., 2016)

GenoGAM: genome-wide generalized additive models for ChIP-Seq analysis. - Georg Stricker; Alexander Engelhardt; Daniel Schulz; Matthias Schmid; Achim Tresch; Julien Gagneur (Bioinform., 2017)

Proceedings of Reisensburg 2014-2015. - Hans A. Kestler; Bernd Bischl; Matthias Schmid (Comput. Stat., 2018)

Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates. - Janek Thomas; Andreas Mayr; Bernd Bischl; Matthias Schmid; Adam Smith; Benjamin Hofner (Stat. Comput., 2018)

An Approach to Efficiently Storing Property Graphs in Relational Databases. - Matthias Schmid (Grundlagen von Datenbanken, 2019)

On efficiently storing huge property graphs in relational database management systems. - Matthias Schmid (iiWAS, 2019)

A classification tree approach for the modeling of competing risks in discrete time. - Moritz Berger; Thomas Welchowski; Steffen Schmitz-Valckenberg; Matthias Schmid (Adv. Data Anal. Classif., 2019)

Proceedings of Reisensburg 2016-2017. - Matthias Schmid; Bernd Bischl; Hans A. Kestler (Comput. Stat., 2019)

Sparse kernel deep stacking networks. - Thomas Welchowski; Matthias Schmid (Comput. Stat., 2019)

Tree-structured modelling of varying coefficients. - Moritz Berger; Gerhard Tutz 001; Matthias Schmid (Stat. Comput., 2019)

Methods and tools in the early stages of legislation. - Moreen Heine; Matthias Schmid (ICEGOV, 2020)

A Low Noise CMOS Sensor Frontend for a TMR-based Biosensing Platform. - Ayman Mohamed; Matthias Schmid; Asfand Tanwear; Hadi Heidari; Jens Anders (IEEE SENSORS, 2020)

Discrete-time survival forests with Hellinger distance decision trees. - Matthias Schmid; Thomas Welchowski; Marvin N. Wright; Moritz Berger (Data Min. Knowl. Discov., 2020)

Total Least Squares for Optimal Pose Estimation. - Saeed Maleki; John L. Crassidis; Yang Cheng; Matthias Schmid (CoRR, 2021)

Bias in Cross-Entropy-Based Training of Deep Survival Networks. - Shekoufeh Gorgi Zadeh; Matthias Schmid (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Nachruf Hans Schneeweiß. - Thomas Augustin 001; Helmut Küchenhoff; Matthias Schmid (AStA Wirtschafts und Sozialstatistisches Arch., 2022)

Benchmark of filter methods for feature selection in high-dimensional gene expression survival data. - Andrea Bommert; Thomas Welchowski; Matthias Schmid; Jörg Rahnenführer (Briefings Bioinform., 2022)

Optimal Pose Estimation and Covariance Analysis with Simultaneous Localization and Mapping Applications. - Saeed Maleki; Adhiti Raman; Yang Cheng; John L. Crassidis; Matthias Schmid (CoRR, 2022)

Error-Covariance Analysis of Monocular Pose Estimation Using Total Least Squares. - Saeed Maleki; John L. Crassidis; Yang Cheng; Matthias Schmid (CoRR, 2022)

Towards Storing 3D Model Graphs in Relational Databases. - Matthias Schmid (2022)

Flexible tree-structured regression models for discrete event times. - Nikolai Spuck; Matthias Schmid; Nils Heim; Ute Klarmann-Schulz; Achim Hörauf; Moritz Berger (Stat. Comput., 2023)

Control Informed Design of the IAC Autonomous Racecar for Operation at the Dynamic Envelope. - Qilun Zhu; Matthias Schmid; Robert Prucka; Ashley Boncimino; Chris Paredis 001 (CoRR, 2024)

Achieving interpretable machine learning by functional decomposition of black-box models into explainable predictor effects. - David Köhler; David Rügamer; Matthias Schmid (CoRR, 2024)

Unleashing the potential of eHealth in outpatient cancer care for patients undergoing immunotherapy - a quantitative study considering patients' needs and current healthcare challenges. - Tobias A. W. Holderried; Isabel Stasik; Marie-Therese Schmitz; Friederike Schmitz; Tizian K. Meyer; Leonie Stauß; Martin Kirschner; Dirk Skowasch; Jennifer Landsberg; Matthias Schmid; Peter Brossart; Martin Holderried (Frontiers Digit. Health, 2024)

Confidence intervals for tree-structured varying coefficients. - Nikolai Spuck; Matthias Schmid; Malte Monin; Moritz Berger (Comput. Stat. Data Anal., 2025)

Model-Based Recursive Partitioning for Discrete Event Times. - Cynthia Huber; Matthias Schmid; Tim Friede (Stat. Anal. Data Min., 2025)