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Lukas Martin
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2020 – today
- 2024
- [c11]Hendrik Laux, Emil Mededovic, Ahmed Hallawa, Lukas Martin, Arne Peine, Anke Schmeink:
LITEVSR: Efficient Visual Speech Recognition by Learning from Speech Representations of Unlabeled Data. ICASSP 2024: 10391-10395 - 2023
- [j4]Mahdi Barhoush
, Ahmed Hallawa
Localization-Driven Speech Enhancement in Noisy Multi-Speaker Hospital Environments Using Deep Learning and Meta Learning. IEEE ACM Trans. Audio Speech Lang. Process. 31: 670-683 (2023) - [i4]Hendrik Laux, Emil Mededovic, Ahmed Hallawa, Lukas Martin, Arne Peine, Anke Schmeink:
LiteVSR: Efficient Visual Speech Recognition by Learning from Speech Representations of Unlabeled Data. CoRR abs/2312.09727 (2023) - 2022
- [j3]Lejla Begic Fazlic
A Novel Hybrid Methodology for Anomaly Detection in Time Series. Int. J. Comput. Intell. Syst. 15(1): 50 (2022) - [c10]Cagatay Sariman, Ahmed Hallawa, Erdi Sayar, Arne Peine, Lukas Martin, Anke Schmeink:
Exploration of unknown environments via evolution of behavioral and morphological properties of miniaturized sensory agents. GECCO Companion 2022: 759-762 - [c9]Elisabetta Benevento
Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study - Case Study. ICPM Workshops 2022: 315-327 - [c8]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 - [c7]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 - [i3]Marco Pegoraro, Madhavi Bangalore Shankara Narayana, Elisabetta Benevento, Wil M. P. van der Aalst, Lukas Martin, Gernot Marx:
Analyzing Medical Data with Process Mining: a COVID-19 Case Study. CoRR abs/2202.04625 (2022) - [i2]Elisabetta Benevento, Marco Pegoraro
Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study. CoRR abs/2209.10897 (2022) - 2021
- [j2]Arne Peine, Ahmed Hallawa
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care. npj Digit. Medicine 4 (2021) - [c6]Marco Pegoraro
Analyzing Medical Data with Process Mining: A COVID-19 Case Study. BIS (Workshops) 2021: 39-44 - [c5]Ahmed Hallawa, Thorsten Born, Anke Schmeink, Guido Dartmann
Evo-RL: evolutionary-driven reinforcement learning. GECCO Companion 2021: 153-154 - 2020
- [c4]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 - [i1]Ahmed Hallawa, Thorsten Born, Anke Schmeink, Guido Dartmann, Arne Peine, Lukas Martin, Giovanni Iacca, A. E. Eiben, Gerd Ascheid:
EVO-RL: Evolutionary-Driven Reinforcement Learning. CoRR abs/2007.04725 (2020)
2010 – 2019
- 2019
- [j1]Peter Martin Vieting
Likelihood-Based Adaptive Learning in Stochastic State-Based Models. IEEE Signal Process. Lett. 26(7): 1031-1035 (2019) - [c3]Ahmed Hallawa, Elisabeth Zechendorf, Yi Song, Anke Schmeink, Arne Peine, Lukas Martin, Gerd Ascheid, Guido Dartmann:
On the Use of Evolutionary Computation for In-Silico Medicine: Modelling Sepsis via Evolving Continuous Petri Nets. EvoApplications 2019: 254-269 - [c2]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 - 2018
- [c1]Peter Martin Vieting, Rodrigo C. de Lamare
An Adaptive Learning Approach To Parameter Estimation For Hybrid Petri Nets In Systems Biology. SSP 2018: 543-547
Coauthor Index
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