Marlies Morgen

According to our database, Marlies Morgen authored at least 8 papers between 2017 and 2024.

Collaborative distances:

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

2024

Connect, Understand and Learn: Dynamic Knowledge Graph Transforms Learning.

Marlies Morgen, Lejla Begic Fazlic, Guido Dartmann

Proceedings of the 47th MIPRO ICT and Electronics Convention, 2024

2023

A framework for AI-based self-adaptive cyber-physical process systems.

Achim Guldner, Maximilian Hoffmann, Christian Lohr, Rüdiger Machhamer, Lukas Malburg, Marlies Morgen, Stephanie C. Rodermund, Florian Schäfer, Lars Schaupeter, Jens Schneider, Felix Theusch, Ralph Bergmann, Guido Dartmann, Norbert Kuhn, Stefan Naumann, Ingo J. Timm, Matthias Vette-Steinkamp, Benjamin Weyers

it Inf. Technol., June, 2023

2022

A Novel Hybrid Methodology for Anomaly Detection in Time Series.

Lejla Begic Fazlic, Ahmed Halawa, Anke Schmeink, Robert Lipp, Lukas Martin, Arne Peine, Marlies Morgen, Thomas Vollmer, Stefan Winter, Guido Dartmann

Int. J. Comput. Intell. Syst., 2022

A Machine Learning Approach for Optimal Ventilation based on Data from CO2 Sensors.

Bastian Urschel, Lejla Begic Fazlic, Marlies Morgen, Rüdiger Machhamer, Guido Dartmann, Klaus-Uwe Gollmer

Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2022

A Visualization and Benchmarking Simulator for Clinical Data.

Marlies Morgen, Lejla Begic Fazlic, Arne Peine, Lukas Martin, Anke Schmeink, Ahmed Hallawa, Guido Dartmann

Proceedings of the pHealth 2022 - Proceedings of the 19th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 2022

Development and Implementation of the Data Science Learning Platform for Research Physician.

Lejla Begic Fazlic, Marvin Schacht, Marlies Morgen, Anke Schmeink, Robert Lipp, Lukas Martin, Thomas Vollmer, Stefan Winter, Guido Dartmann

Proceedings of the pHealth 2022 - Proceedings of the 19th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 2022

2020

A Machine Learning Approach for the Classification of Disease Risks in Time Series.

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

Proceedings of the 9th Mediterranean Conference on Embedded Computing, 2020

2017

Energy Consumption and Hardware Utilization of Standard Software: Methods and Measurements for Software Sustainability.

Achim Guldner, Marcel Garling, Marlies Morgen, Stefan Naumann, Eva Kern, Lorenz M. Hilty

Proceedings of the From Science to Society, 2017