Andreas Schuppert

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

Collaborative distances:

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

2024

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

Moein E. Samadi, Hedieh Mirzaieazar, Alexander Mitsos, Andreas Schuppert

BMC Bioinform., December, 2024

Smooth Kolmogorov Arnold networks enabling structural knowledge representation.

Moein E. Samadi, Younes Müller, Andreas Schuppert

CoRR, 2024

2023

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

Richard Polzin, Sebastian Johannes Fritsch, Konstantin Sharafutdinov, Gernot Marx, Andreas Schuppert

SoftwareX, July, 2023

Neural network input feature selection using structured l₂ - norm penalization.

Nathaniel Egwu, Thomas Mrziglod, Andreas Schuppert

Appl. Intell., March, 2023

CMDA: a tool for Continuous Monitoring Data Analysis.

Pejman Farhadi Ghalati, Andreas Schuppert

CoRR, 2023

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

Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen, Xiulan He, Soodabeh Majdi, Andreas Schuppert, Andrew Ewing

CoRR, 2023

Enabling Hyperparameter-Tuning of AI Models for Healthcare using the CoE RAISE Unique AI Framework for HPC.

Morris Riedel, Chadi Barakat, Sebastian Johannes Fritsch, Marcel Aach, J. Busch, Andreas Lintermann, Andreas Schuppert, Sigurður Brynjólfsson, Helmut Neukirchen, Matthias Book

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.

Konstantin Sharafutdinov, Jayesh Sudhir Bhat, Sebastian Johannes Fritsch, Kateryna Nikulina, Moein E. Samadi, Richard Polzin, Hannah Mayer, Gernot Marx, Johannes Bickenbach, Andreas Schuppert

Frontiers Big Data, 2022

HybridML: Open source platform for hybrid modeling.

Kilian Merkelbach, Artur M. Schweidtmann, Younes Müller, Patrick Schwoebel, Adel Mhamdi, Alexander Mitsos, Andreas Schuppert, Thomas Mrziglod, Sebastian Schneckener

Comput. Chem. Eng., 2022

Lessons learned on using High-Performance Computing and Data Science Methods towards understanding the Acute Respiratory Distress Syndrome (ARDS).

Chadi Barakat, Sebastian Johannes Fritsch, Konstantin Sharafutdinov, G. Ingólfsson, Andreas Schuppert, Sigurður Brynjólfsson, Morris Riedel

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.

Arne Peine, Ahmed Hallawa, Johannes Bickenbach, Guido Dartmann, Lejla Begic Fazlic, Anke Schmeink, Gerd Ascheid, Christoph Thiemermann, Andreas Schuppert, Ryan Kindle, Leo A. Celi, Gernot Marx, Lukas Martin

npj Digit. Medicine, 2021

2020

Methodological challenges in translational drug response modeling in cancer: A systematic analysis with FORESEE.

Lisa-Katrin Turnhoff, Ali Hadizadeh Esfahani, Andreas Schuppert

PLoS Comput. Biol., 2020

A neural network assisted Metropolis adjusted Langevin algorithm.

Christian Müller, Holger Diedam, Thomas Mrziglod, Andreas Schuppert

Monte Carlo Methods Appl., 2020

Quality-targeting dynamic optimization of monoclonal antibody production.

Chrysoula Dimitra Kappatou, Alireza Ehsani, Sebastian Niedenführ, Adel Mhamdi, Andreas Schuppert, Alexander Mitsos

Comput. Chem. Eng., 2020

2019

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

Pejman Farhadi Ghalati, Satya Swarup Samal, Jayesh Sudhir Bhat, Robert Deisz, Gernot Marx, Andreas Schuppert

CoRR, 2019

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

Lisa-Katrin Turnhoff, Ali Hadizadeh Esfahani, Maryam Montazeri, Nina Kusch, Andreas Schuppert

Bioinform., 2019

2018

A systematic atlas of chaperome deregulation topologies across the human cancer landscape.

Ali Hadizadeh Esfahani, Angelina Sverchkova, Julio Saez-Rodriguez, Andreas Schuppert, Marc Brehme

PLoS Comput. Biol., 2018

Markov-Chain Monte-Carlo methods and non-identifiabilities.

Christian Müller, Fabian Weysser, Thomas Mrziglod, Andreas Schuppert

Monte Carlo Methods Appl., 2018

The SYMBIONT project: symbolic methods for biological networks.

François Boulier, François Fages, Ovidiu Radulescu, Satya Swarup Samal, Andreas Schuppert, Werner M. Seiler, Thomas Sturm, Sebastian Walcher, Andreas Weber

ACM Commun. Comput. Algebra, 2018

2016

Robust PBPK/PD-Based Model Predictive Control of Blood Glucose.

Stephan Schaller, Jörg Lippert, Lukas Schaupp, Thomas R. Pieber, Andreas Schuppert, Thomas Eissing

IEEE Trans. Biomed. Eng., 2016

2010

An elastic network model to identify characteristic stress response genes.

Sebastian Schneckener, Linus Görlitz, Heidrun Ellinger-Ziegelbauer, Hans-Jürgen Ahr, Andreas Schuppert

Comput. Biol. Chem., 2010

2005

Data Mining mit Prozessdaten (Data Mining with Process Data).

Andreas Schuppert, Rainer Perne

Autom., 2005