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ORCIDGuido Dartmann
- > Home > Persons > Guido Dartmann
Publications
- 2024
[c62]Marlies Morgen, Lejla Begic Fazlic, Guido Dartmann:
Connect, Understand and Learn: Dynamic Knowledge Graph Transforms Learning. MIPRO 2024: 235-240- 2023
- [c61]Sebastian Weber, Achim Guldner
, Lejla Begic Fazlic, Guido Dartmann, Stefan Naumann:
Sustainability in Artificial Intelligence - Towards a Green AI Reference Model. GI-Jahrestagung 2023: 1503-1514 - [i6]Justus Renkhoff, Wenkai Tan, Alvaro Velasquez, William Yichen Wang, Yongxin Liu, Jian Wang, Shuteng Niu, Lejla Begic Fazlic, Guido Dartmann, Houbing Song:
Exploring Adversarial Attacks on Neural Networks: An Explainable Approach. CoRR abs/2303.06032 (2023) - [i5]Rüdiger Machhamer, Lejla Begic Fazlic, Eray Guven, David Junk, Gunes Karabulut-Kurt, Stefan Naumann, Stephan Didas, Klaus-Uwe Gollmer, Ralph Bergmann, Ingo J. Timm, Guido Dartmann:
Likelihood-based Sensor Calibration for Expert-Supported Distributed Learning Algorithms in IoT Systems. CoRR abs/2309.11526 (2023) - 2022
- [j18]Lejla Begic Fazlic, Ahmed Halawa, Anke Schmeink, Robert Lipp, Lukas Martin, Arne Peine, Marlies Morgen, Thomas Vollmer, Stefan Winter, Guido Dartmann:
A Novel Hybrid Methodology for Anomaly Detection in Time Series. Int. J. Comput. Intell. Syst. 15(1): 50 (2022) - [c59]Justus Renkhoff, Wenkai Tan, Alvaro Velasquez, William Yichen Wang, Yongxin Liu, Jian Wang, Shuteng Niu, Lejla Begic Fazlic, Guido Dartmann, Houbing Song:
Exploring Adversarial Attacks on Neural Networks: An Explainable Approach. IPCCC 2022: 41-42 - [c57]Lejla Begic Fazlic, Marvin Schacht, Marlies Morgen, Anke Schmeink, Robert Lipp, Lukas Martin, Thomas Vollmer, Stefan Winter, Guido Dartmann:
Development and Implementation of the Data Science Learning Platform for Research Physician. pHealth 2022: 196-201 - [c56]Marlies Morgen, Lejla Begic Fazlic, Arne Peine, Lukas Martin, Anke Schmeink, Ahmed Hallawa, Guido Dartmann:
A Visualization and Benchmarking Simulator for Clinical Data. pHealth 2022: 223-228 - [c55]Bastian Urschel, Lejla Begic Fazlic, Marlies Morgen, Rüdiger Machhamer, Guido Dartmann, Klaus-Uwe Gollmer:
A Machine Learning Approach for Optimal Ventilation based on Data from CO2 Sensors. SDF 2022: 1-6 - 2021
- [j16]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) - [c53]Lukas David Schuck, Robert Lipp, Lejla Begic Fazlic, Guido Dartmann, Anke Schmeink:
Estimation of Kinetic Parameters in Stochastic Biomedical Models Using Estimation Theory. SISY 2021: 15-20 - 2020
- [c48]Lejla Begic Fazlic, Ahmed Hallawa, Matthias Dziubany, Marlies Morgen, Jens Schneider, Marvin Schacht, Anke Schmeink, Lukas Martin, Arne Peine, Thomas Vollmer, Stefan Winter, Guido Dartmann:
A Machine Learning Approach for the Classification of Disease Risks in Time Series. MECO 2020: 1-5 - 2019
- [c42]Lejla Begic Fazlic, Ahmed Hallawa, Anke Schmeink, Arne Peine, Lukas Martin, Guido Dartmann:
A Novel NLP-FUZZY System Prototype for Information Extraction from Medical Guidelines. MIPRO 2019: 1025-1030
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