Andreas Schuppert

Orcid: 0000-0003-3783-6605

According to our database1, Andreas Schuppert authored at least 22 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions.
BMC Bioinform., December, 2024

Smooth Kolmogorov Arnold networks enabling structural knowledge representation.
CoRR, 2024

2023
Diagnostic Expert Advisor: A platform for developing machine learning models on medical time-series data.
SoftwareX, July, 2023

Neural network input feature selection using structured l<sub>2</sub> - norm penalization.
Appl. Intell., March, 2023

CMDA: a tool for Continuous Monitoring Data Analysis.
CoRR, 2023

Tree-Based Learning on Amperometric Time Series Data Demonstrates High Accuracy for Classification.
CoRR, 2023

Enabling Hyperparameter-Tuning of AI Models for Healthcare using the CoE RAISE Unique AI Framework for HPC.
Proceedings of the 46th MIPRO ICT and Electronics Convention, 2023

2022
Application of convex hull analysis for the evaluation of data heterogeneity between patient populations of different origin and implications of hospital bias in downstream machine-learning-based data processing: A comparison of 4 critical-care patient datasets.
Frontiers Big Data, 2022

HybridML: Open source platform for hybrid modeling.
Comput. Chem. Eng., 2022

Lessons learned on using High-Performance Computing and Data Science Methods towards understanding the Acute Respiratory Distress Syndrome (ARDS).
Proceedings of the 45th Jubilee International Convention on Information, 2022

2021
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care.
npj Digit. Medicine, 2021

2020
Methodological challenges in translational drug response modeling in cancer: A systematic analysis with FORESEE.
PLoS Comput. Biol., 2020

A neural network assisted Metropolis adjusted Langevin algorithm.
Monte Carlo Methods Appl., 2020

Quality-targeting dynamic optimization of monoclonal antibody production.
Comput. Chem. Eng., 2020

2019
Critical Transitions in Intensive Care Units: A Sepsis Case Study.
CoRR, 2019

FORESEE: a tool for the systematic comparison of translational drug response modeling pipelines.
Bioinform., 2019

2018
A systematic atlas of chaperome deregulation topologies across the human cancer landscape.
PLoS Comput. Biol., 2018

Markov-Chain Monte-Carlo methods and non-identifiabilities.
Monte Carlo Methods Appl., 2018

The SYMBIONT project: symbolic methods for biological networks.
ACM Commun. Comput. Algebra, 2018

2016
Robust PBPK/PD-Based Model Predictive Control of Blood Glucose.
IEEE Trans. Biomed. Eng., 2016

2010
An elastic network model to identify characteristic stress response genes.
Comput. Biol. Chem., 2010

2005
Data Mining mit Prozessdaten (Data Mining with Process Data).
Autom., 2005


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