Andreas Schuppert

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 19

Top Topics

Knowledge Integration

Machine Learning Models

Intensive Care Units

Top Venues

Monte Carlo Methods Appl.

Comput. Chem. Eng.

PLoS Comput. Biol.

Publications

Moein E. Samadi, Younes Müller, Andreas Schuppert
Smooth Kolmogorov Arnold networks enabling structural knowledge representation. CoRR (2024)
Moein E. Samadi, Hedieh Mirzaieazar, Alexander Mitsos, Andreas Schuppert
Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions. BMC Bioinform. 25 (1) (2024)
Morris Riedel, Chadi Barakat, Sebastian Johannes Fritsch, Marcel Aach, J. Busch, Andreas Lintermann, Andreas Schuppert, Sigurður Brynjólfsson, Helmut Neukirchen, Matthias Book
Enabling Hyperparameter-Tuning of AI Models for Healthcare using the CoE RAISE Unique AI Framework for HPC. MIPRO (2023)
Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen, Xiulan He, Soodabeh Majdi, Andreas Schuppert, Andrew Ewing
Tree-Based Learning on Amperometric Time Series Data Demonstrates High Accuracy for Classification. CoRR (2023)
Richard Polzin, Sebastian Johannes Fritsch, Konstantin Sharafutdinov, Gernot Marx, Andreas Schuppert
Diagnostic Expert Advisor: A platform for developing machine learning models on medical time-series data. SoftwareX 23 (2023)
Pejman Farhadi Ghalati, Andreas Schuppert
CMDA: a tool for Continuous Monitoring Data Analysis. CoRR (2023)
Nathaniel Egwu, Thomas Mrziglod, Andreas Schuppert
- norm penalization. Appl. Intell. 53 (5) (2023)
Konstantin Sharafutdinov, Jayesh Sudhir Bhat, Sebastian Johannes Fritsch, Kateryna Nikulina, Moein E. Samadi, Richard Polzin, Hannah Mayer, Gernot Marx, Johannes Bickenbach, Andreas Schuppert
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 5 (2022)
Kilian Merkelbach, Artur M. Schweidtmann, Younes Müller, Patrick Schwoebel, Adel Mhamdi, Alexander Mitsos, Andreas Schuppert, Thomas Mrziglod, Sebastian Schneckener
HybridML: Open source platform for hybrid modeling. Comput. Chem. Eng. 160 (2022)
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
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care. npj Digit. Medicine 4 (2021)
Christian Müller, Holger Diedam, Thomas Mrziglod, Andreas Schuppert
A neural network assisted Metropolis adjusted Langevin algorithm. Monte Carlo Methods Appl. 26 (2) (2020)
Lisa-Katrin Turnhoff, Ali Hadizadeh Esfahani, Andreas Schuppert
Methodological challenges in translational drug response modeling in cancer: A systematic analysis with FORESEE. PLoS Comput. Biol. 16 (4) (2020)
Chrysoula Dimitra Kappatou, Alireza Ehsani, Sebastian Niedenführ, Adel Mhamdi, Andreas Schuppert, Alexander Mitsos
Quality-targeting dynamic optimization of monoclonal antibody production. Comput. Chem. Eng. 142 (2020)
Pejman Farhadi Ghalati, Satya Swarup Samal, Jayesh Sudhir Bhat, Robert Deisz, Gernot Marx, Andreas Schuppert
Critical Transitions in Intensive Care Units: A Sepsis Case Study. CoRR (2019)
Lisa-Katrin Turnhoff, Ali Hadizadeh Esfahani, Maryam Montazeri, Nina Kusch, Andreas Schuppert
FORESEE: a tool for the systematic comparison of translational drug response modeling pipelines. Bioinform. 35 (19) (2019)
François Boulier, François Fages, Ovidiu Radulescu, Satya Swarup Samal, Andreas Schuppert, Werner M. Seiler, Thomas Sturm, Sebastian Walcher, Andreas Weber
The SYMBIONT project: symbolic methods for biological networks. ACM Commun. Comput. Algebra 52 (3) (2018)
Christian Müller, Fabian Weysser, Thomas Mrziglod, Andreas Schuppert
Markov-Chain Monte-Carlo methods and non-identifiabilities. Monte Carlo Methods Appl. 24 (3) (2018)
Ali Hadizadeh Esfahani, Angelina Sverchkova, Julio Saez-Rodriguez, Andreas Schuppert, Marc Brehme
A systematic atlas of chaperome deregulation topologies across the human cancer landscape. PLoS Comput. Biol. 14 (1) (2018)
Stephan Schaller, Jörg Lippert, Lukas Schaupp, Thomas R. Pieber, Andreas Schuppert, Thomas Eissing
Robust PBPK/PD-Based Model Predictive Control of Blood Glucose. IEEE Trans. Biomed. Eng. 63 (7) (2016)
Sebastian Schneckener, Linus Görlitz, Heidrun Ellinger-Ziegelbauer, Hans-Jürgen Ahr, Andreas Schuppert
An elastic network model to identify characteristic stress response genes. Comput. Biol. Chem. 34 (3) (2010)
Andreas Schuppert, Rainer Perne
Data Mining mit Prozessdaten (Data Mining with Process Data). Autom. 53 (7) (2005)