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2020 – today
- 2024
[j16]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): 155 (2024)- [i4]Moein E. Samadi, Younes Müller, Andreas Schuppert:
Smooth Kolmogorov Arnold networks enabling structural knowledge representation. CoRR abs/2405.11318 (2024) - 2023
- [j15]Nathaniel Egwu, Thomas Mrziglod, Andreas Schuppert:
Neural network input feature selection using structured l2 - norm penalization. Appl. Intell. 53(5): 5732-5749 (2023) - [j14]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: 101517 (2023) - [c2]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: 435-440 - [i3]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 abs/2302.02650 (2023) - [i2]Pejman Farhadi Ghalati, Andreas Schuppert:
CMDA: a tool for Continuous Monitoring Data Analysis. CoRR abs/2310.14427 (2023) - 2022
- [j13]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: 107736 (2022) - [j12]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) - [c1]Chadi Barakat, Sebastian Johannes Fritsch, Konstantin Sharafutdinov, G. Ingólfsson, Andreas Schuppert, Sigurður Brynjólfsson, Morris Riedel:
Lessons learned on using High-Performance Computing and Data Science Methods towards understanding the Acute Respiratory Distress Syndrome (ARDS). MIPRO 2022: 368-373 - 2021
- [j11]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) - 2020
- [j10]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: 107004 (2020) - [j9]Christian Müller, Holger Diedam, Thomas Mrziglod, Andreas Schuppert:
A neural network assisted Metropolis adjusted Langevin algorithm. Monte Carlo Methods Appl. 26(2): 93-111 (2020) - [j8]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)
2010 – 2019
- 2019
- [j7]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): 3846-3848 (2019) - [i1]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 abs/1902.05764 (2019) - 2018
- [j6]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): 67-70 (2018) - [j5]Christian Müller, Fabian Weysser, Thomas Mrziglod, Andreas Schuppert:
Markov-Chain Monte-Carlo methods and non-identifiabilities. Monte Carlo Methods Appl. 24(3): 203-214 (2018) - [j4]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) - 2016
- [j3]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): 1492-1504 (2016) - 2010
- [j2]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): 193-202 (2010)
2000 – 2009
- 2005
- [j1]Andreas Schuppert, Rainer Perne:
Data Mining mit Prozessdaten (Data Mining with Process Data). Autom. 53(7): 342-349 (2005)
Coauthor Index
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