Arne Peine

12 papers B 1Misc 1Journal 5Unranked 5
YearRankTypeTitle / Venue / Authors
2024 Misc conf
LITEVSR: Efficient Visual Speech Recognition by Learning from Speech Representations of Unlabeled Data.
ICASSP
Hendrik Laux, Emil Mededovic, Ahmed Hallawa, Lukas Martin, Arne Peine, Anke Schmeink
2023 J jnl
LiteVSR: Efficient Visual Speech Recognition by Learning from Speech Representations of Unlabeled Data.
CoRR
Hendrik Laux, Emil Mededovic, Ahmed Hallawa, Lukas Martin, Arne Peine, Anke Schmeink
2023 J jnl
Localization-Driven Speech Enhancement in Noisy Multi-Speaker Hospital Environments Using Deep Learning and Meta Learning.
IEEE ACM Trans. Audio Speech Lang. Process.
Mahdi Barhoush, Ahmed Hallawa, Arne Peine, Lukas Martin, Anke Schmeink
2022 J jnl
A Novel Hybrid Methodology for Anomaly Detection in Time Series.
Int. J. Comput. Intell. Syst.
Lejla Begic Fazlic, Ahmed Halawa, Anke Schmeink, Robert Lipp, Lukas Martin, Arne Peine, Marlies Morgen, Thomas Vollmer, Stefan Winter, Guido Dartmann
2022 — conf
A Visualization and Benchmarking Simulator for Clinical Data.
pHealth
Marlies Morgen, Lejla Begic Fazlic, Arne Peine, Lukas Martin, Anke Schmeink, Ahmed Hallawa, Guido Dartmann
2022 — conf
Exploration of unknown environments via evolution of behavioral and morphological properties of miniaturized sensory agents.
GECCO Companion
Cagatay Sariman, Ahmed Hallawa, Erdi Sayar, Arne Peine, Lukas Martin, Anke Schmeink
2021 J jnl
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care.
npj Digit. Medicine
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
2021 — conf
Evo-RL: evolutionary-driven reinforcement learning.
GECCO Companion
Ahmed Hallawa, Thorsten Born, Anke Schmeink, Guido Dartmann, Arne Peine, Lukas Martin, Giovanni Iacca, A. E. Eiben, Gerd Ascheid
2020 — conf
A Machine Learning Approach for the Classification of Disease Risks in Time Series.
MECO
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
2020 J jnl
EVO-RL: Evolutionary-Driven Reinforcement Learning.
CoRR
Ahmed Hallawa, Thorsten Born, Anke Schmeink, Guido Dartmann, Arne Peine, Lukas Martin, Giovanni Iacca, A. E. Eiben, Gerd Ascheid
2019 — conf
A Novel NLP-FUZZY System Prototype for Information Extraction from Medical Guidelines.
MIPRO
Lejla Begic Fazlic, Ahmed Hallawa, Anke Schmeink, Arne Peine, Lukas Martin, Guido Dartmann
2019 B conf
On the Use of Evolutionary Computation for In-Silico Medicine: Modelling Sepsis via Evolving Continuous Petri Nets.
EvoApplications
Ahmed Hallawa, Elisabeth Zechendorf, Yi Song, Anke Schmeink, Arne Peine, Lukas Martin, Gerd Ascheid, Guido Dartmann