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

no code implementations • 15 Dec 2023 • Hendrik Laux, Emil Mededovic, Ahmed Hallawa, Lukas Martin, Arne Peine, Anke Schmeink

This paper proposes a novel, resource-efficient approach to Visual Speech Recognition (VSR) leveraging speech representations produced by any trained Automatic Speech Recognition (ASR) model.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study

no code implementations • 22 Sep 2022 • Elisabetta Benevento, Marco Pegoraro, Mattia Antoniazzi, Harry H. Beyel, Viki Peeva, Paul Balfanz, Wil M. P. van der Aalst, Lukas Martin, Gernot Marx

The aim of this work is twofold: developing a normative model representing the clinical guidelines for the treatment of COVID-19 patients, and analyzing the adherence of the observed behavior (recorded in the information system of the hospital) to such guidelines.

EVO-RL: Evolutionary-Driven Reinforcement Learning

no code implementations • 9 Jul 2020 • Ahmed Hallawa, Thorsten Born, Anke Schmeink, Guido Dartmann, Arne Peine, Lukas Martin, Giovanni Iacca, A. E. Eiben, Gerd Ascheid

Furthermore, we propose that this distinction is decided by the evolutionary process, thus allowing evo-RL to be adaptive to different environments.

OpenAI Gym reinforcement-learning +1