Search Results for author: Matthias Schmid

Found 9 papers, 3 papers with code

An Overview of Automated Vehicle Platooning Strategies

no code implementations8 Mar 2024 M Sabbir Salek, Mugdha Basu Thakur, Pardha Sai Krishna Ala, Mashrur Chowdhury, Matthias Schmid, Pamela Murray-Tuite, Sakib Mahmud Khan, Venkat Krovi

Automated vehicle (AV) platooning has the potential to improve the safety, operational, and energy efficiency of surface transportation systems by limiting or eliminating human involvement in the driving tasks.

Error-Covariance Analysis of Monocular Pose Estimation Using Total Least Squares

no code implementations21 Oct 2022 Saeed Maleki, John Crassidis, Yang Cheng, Matthias Schmid

First, the optimization framework is formulated for the pose estimation problem with observation vectors extracted from unit vectors from the camera center-of-projection, pointing towards the image features.

Pose Estimation

Model-based recursive partitioning for discrete event times

no code implementations14 Sep 2022 Cynthia Huber, Matthias Schmid, Tim Friede

We propose MOB for discrete Survival data (MOB-dS) which controls the type I error rate of the test used for data splitting and therefore the rate of identifying subgroups although none is present.

Stability selection for component-wise gradient boosting in multiple dimensions

1 code implementation30 Nov 2016 Janek Thomas, Andreas Mayr, Bernd Bischl, Matthias Schmid, Adam Smith, Benjamin Hofner

We apply this new algorithm to a study to estimate abundance of common eider in Massachusetts, USA, featuring excess zeros, overdispersion, non-linearity and spatio-temporal structures.

Additive models

Boosting Joint Models for Longitudinal and Time-to-Event Data

1 code implementation9 Sep 2016 Elisabeth Waldmann, David Taylor-Robinson, Nadja Klein, Thomas Kneib, Tania Pressler, Matthias Schmid, Andreas Mayr

Joint Models for longitudinal and time-to-event data have gained a lot of attention in the last few years as they are a helpful technique to approach common a data structure in clinical studies where longitudinal outcomes are recorded alongside event times.

Variable Selection

On the use of Harrell's C for clinical risk prediction via random survival forests

no code implementations11 Jul 2015 Matthias Schmid, Marvin Wright, Andreas Ziegler

In simulation studies and with the help of two medical data sets we demonstrate that the accuracy of RSF predictions, as measured by Harrell's C, can be improved if the log-rank statistic is replaced by the C index for node splitting.

The Evolution of Boosting Algorithms - From Machine Learning to Statistical Modelling

1 code implementation6 Mar 2014 Andreas Mayr, Harald Binder, Olaf Gefeller, Matthias Schmid

This review article attempts to highlight this evolution of boosting algorithms from machine learning to statistical modelling.


Boosting the concordance index for survival data - a unified framework to derive and evaluate biomarker combinations

no code implementations24 Jul 2013 Andreas Mayr, Matthias Schmid

The development of molecular signatures for the prediction of time-to-event outcomes is a methodologically challenging task in bioinformatics and biostatistics.

feature selection

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