An Adaptive Learning Approach To Parameter Estimation For Hybrid Petri Nets In Systems Biology. - Peter Martin Vieting; Rodrigo C. de Lamare; Lukas Martin; Guido Dartmann; Anke Schmeink (SSP, 2018)

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 (EvoApplications, 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 (MIPRO, 2019)

Likelihood-Based Adaptive Learning in Stochastic State-Based Models. - Peter Martin Vieting; Rodrigo C. de Lamare; Lukas Martin; Guido Dartmann; Anke Schmeink (IEEE Signal Process. Lett., 2019)

A Machine Learning Approach for the Classification of Disease Risks in Time Series. - Lejla Begic Fazlic; Ahmed Hallawa; Matthias Dziubany; Marlies Morgen; Jens Schneider 003; Marvin Schacht; Anke Schmeink; Lukas Martin; Arne Peine; Thomas Vollmer; Stefan Winter 002; Guido Dartmann (MECO, 2020)

Analyzing Medical Data with Process Mining: A COVID-19 Case Study. - Marco Pegoraro 001; Madhavi Bangalore Shankara Narayana; Elisabetta Benevento; Wil M. P. van der Aalst; Lukas Martin; Gernot Marx (BIS (Workshops), 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 (GECCO Companion, 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; et al. (npj Digit. Medicine, 2021)

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 (GECCO Companion, 2022)

Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study - Case Study. - Elisabetta Benevento; Marco Pegoraro 001; Mattia Antoniazzi; Harry H. Beyel; Viki Peeva; Paul Balfanz; Wil M. P. van der Aalst; Lukas Martin; Gernot Marx (ICPM Workshops, 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 002; Guido Dartmann (pHealth, 2022)

A Visualization and Benchmarking Simulator for Clinical Data. - Marlies Morgen; Lejla Begic Fazlic; Arne Peine; Lukas Martin; Anke Schmeink; Ahmed Hallawa; Guido Dartmann (pHealth, 2022)

Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study. - Elisabetta Benevento; Marco Pegoraro 001; Mattia Antoniazzi; Harry H. Beyel; Viki Peeva; Paul Balfanz; Wil M. P. van der Aalst; Lukas Martin; Gernot Marx (CoRR, 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 002; Guido Dartmann (Int. J. Comput. Intell. Syst., 2022)

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)

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 (ICASSP, 2024)