Arne Peine

According to our database, Arne Peine authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

LITEVSR: Efficient Visual Speech Recognition by Learning from Speech Representations of Unlabeled Data.

Hendrik Laux, Emil Mededovic, Ahmed Hallawa, Lukas Martin, Arne Peine, Anke Schmeink

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Localization-Driven Speech Enhancement in Noisy Multi-Speaker Hospital Environments Using Deep Learning and Meta Learning.

Mahdi Barhoush, Ahmed Hallawa, Arne Peine, Lukas Martin, Anke Schmeink

IEEE ACM Trans. Audio Speech Lang. Process., 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 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

Exploration of unknown environments via evolution of behavioral and morphological properties of miniaturized sensory agents.

Cagatay Sariman, Ahmed Hallawa, Erdi Sayar, Arne Peine, Lukas Martin, Anke Schmeink

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 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

Evo-RL: evolutionary-driven reinforcement learning.

Ahmed Hallawa, Thorsten Born, Anke Schmeink, Guido Dartmann, Arne Peine, Lukas Martin, Giovanni Iacca, A. E. Eiben, Gerd Ascheid

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

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

2019

A Novel NLP-FUZZY System Prototype for Information Extraction from Medical Guidelines.

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

Proceedings of the 42nd International Convention on Information and Communication Technology, 2019

On the Use of Evolutionary Computation for In-Silico Medicine: Modelling Sepsis via Evolving Continuous Petri Nets.

Ahmed Hallawa, Elisabeth Zechendorf, Yi Song, Anke Schmeink, Arne Peine, Lukas Martin, Gerd Ascheid, Guido Dartmann

Proceedings of the Applications of Evolutionary Computation, 2019