Lukas Martin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Visual Speech Recognition

Adaptive Learning

Top Venues

GECCO Companion

IEEE Signal Process. Lett.

Publications

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)
Mahdi Barhoush, Ahmed Hallawa, Arne Peine, Lukas Martin, Anke Schmeink
Localization-Driven Speech Enhancement in Noisy Multi-Speaker Hospital Environments Using Deep Learning and Meta Learning. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
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 (2023)
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)
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)
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)
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) (2022)
Elisabetta Benevento, Marco Pegoraro, Mattia Antoniazzi, Harry H. Beyel, Viki Peeva, Paul Balfanz, Wil M. P. van der Aalst, Lukas Martin, Gernot Marx
Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study - Case Study. ICPM Workshops (2022)
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 (2022)
Elisabetta Benevento, Marco Pegoraro, Mattia Antoniazzi, Harry H. Beyel, Viki Peeva, Paul Balfanz, Wil M. P. van der Aalst, Lukas Martin, Gernot Marx
Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study. CoRR (2022)
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. GECCO Companion (2021)
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)
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. BIS (Workshops) (2021)
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)
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 (2020)
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)
Peter Martin Vieting, Rodrigo C. de Lamare, Lukas Martin, Guido Dartmann, Anke Schmeink
Likelihood-Based Adaptive Learning in Stochastic State-Based Models. IEEE Signal Process. Lett. 26 (7) (2019)
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)
Peter Martin Vieting, Rodrigo C. de Lamare, Lukas Martin, Guido Dartmann, Anke Schmeink
An Adaptive Learning Approach To Parameter Estimation For Hybrid Petri Nets In Systems Biology. SSP (2018)