Prototypische Integration automatisierter Programmbewertung in das LMS Moodle. - Sebastian Becker; Andreas Stöcker; Daniel Bräckelmann; Robert Garmann; Sören Grzanna; Felix Heine; Carsten Kleiner; Peter Werner; Oliver J. Bott (ABP, 2013)

Evaluation automatisierter Programmbewertung bei der Vermittlung der Sprachen Java und SQL mit den Gradern "aSQLg" und "Graja" aus studentischer Perspektive.. - Andreas Stöcker; Sebastian Becker; Robert Garmann; Felix Heine; Carsten Kleiner; Oliver J. Bott (DeLFI, 2013)

Die Evaluation generischer Einbettung automatisierter Programmbewertung am Beispiel von Moodle und aSQLg. - Andreas Stöcker; Sebastian Becker; Robert Garmann; Felix Heine; Carsten Kleiner; Peter Werner; Sören Grzanna; Oliver J. Bott (DeLFI, 2014)

Wiederverwendbarkeit von Programmieraufgaben durch Interoperabilität von Programmierlernsystemen. - Sven Strickroth; Michael Striewe; Oliver Müller; Uta Priss; Sebastian Becker; Oliver J. Bott; Niels Pinkwart (DeLFI, 2014)

An Exponential Wagner-Platen Type Scheme for SPDEs. - Sebastian Becker; Arnulf Jentzen; Peter E. Kloeden (SIAM J. Numer. Anal., 2016)

The combined action of a passive exoskeleton and an EMG-controlled neuroprosthesis for upper limb stroke rehabilitation: First results of the RETRAINER project. - Emilia Ambrosini; Simona Ferrante; Johannes Zajc; Maria Bulgheroni; Walter Baccinelli; Enrico d'Amico; Thomas Schauer; Constantin Wiesener; Michael Friedrich Russold; Margit Gföhler; Markus Puchinger; Matthias Weber 006; et al. (ICORR, 2017)

Position-Velocity Categorization of Time-Frequency Coherence for the Analysis of Muscle Coordination Dynamics of Elbow Joint During Low Force Movements in Healthy Children. - Alberto Isaac Pérez-SanPablo; Elisa Romero Avila; Alicia Meneses Peñaloza; Catherine Disselhorst-Klug; Sebastian Becker; Juan Manuel Ibarra Zannatha; Josefina Gutiérrez-Martínez (CCE, 2018)

Solving stochastic differential equations and Kolmogorov equations by means of deep learning. - Christian Beck; Sebastian Becker; Philipp Grohs; Nor Jaafari; Arnulf Jentzen (CoRR, 2018)

Solving high-dimensional optimal stopping problems using deep learning. - Sebastian Becker; Patrick Cheridito; Arnulf Jentzen; Timo Welti (CoRR, 2019)

Deep Optimal Stopping. - Sebastian Becker; Patrick Cheridito; Arnulf Jentzen (J. Mach. Learn. Res., 2019)

Time-frequency coherence of categorized sEMG data during dynamic contractions of biceps, triceps, and brachioradialis as an approach for spasticity detection. - Sebastian Becker; Sylvie C. F. A. von Werder; A.-K. Lassek; Catherine Disselhorst-Klug (Medical Biol. Eng. Comput., 2019)

A Hybrid Robotic System for Arm Training of Stroke Survivors: Concept and First Evaluation. - Emilia Ambrosini; Michael Friedrich Russold; Margit Gföhler; Markus Puchinger; Matthias Weber 006; Sebastian Becker; Karsten Krakow; Nancy Immick; Andreas Augsten; Mauro Rossini; Davide Proserpio; Johannes Zajc; et al. (IEEE Trans. Biomed. Eng., 2019)

Classification of Students' Conceptual Understanding in STEM Education using Their Visual Attention Distributions: A Comparison of Three Machine-Learning Approaches. - Stefan Küchemann; Pascal Klein 002; Sebastian Becker; Niharika Kumari; Jochen Kuhn (CSEDU (1), 2020)

Gaze-Based Prediction of Students' Understanding of Physics Line-Graphs: An Eye-Tracking-Data Based Machine-Learning Approach. - Stefan Küchemann; Sebastian Becker; Pascal Klein 002; Jochen Kuhn (CSEDU (Selected Papers), 2020)

Numerical simulations for full history recursive multilevel Picard approximations for systems of high-dimensional partial differential equations. - Sebastian Becker; Ramon Braunwarth; Martin Hutzenthaler; Arnulf Jentzen; Philippe von Wurstemberger (CoRR, 2020)

Deep learning based numerical approximation algorithms for stochastic partial differential equations and high-dimensional nonlinear filtering problems. - Christian Beck; Sebastian Becker; Patrick Cheridito; Arnulf Jentzen; Ariel Neufeld (CoRR, 2020)

Solving the Kolmogorov PDE by Means of Deep Learning. - Christian Beck; Sebastian Becker; Philipp Grohs; Nor Jaafari; Arnulf Jentzen (J. Sci. Comput., 2021)

Reactive Exercises with Interactive Objects: Interim Analysis of a Randomized Trial on Task-Driven NMES Grasp Rehabilitation for Subacute and Early Chronic Stroke Patients. - Andrea Crema; Ivan Furfaro; Flavio Raschellà; Mauro Rossini; Johannes Zajc; Constantin Wiesener; Walter Baccinelli; Davide Proserpio; Andreas Augsten; Nancy Immick; Sebastian Becker; Matthias Weber 006; et al. (Sensors, 2021)

Deep Splitting Method for Parabolic PDEs. - Christian Beck; Sebastian Becker; Patrick Cheridito; Arnulf Jentzen; Ariel Neufeld (SIAM J. Sci. Comput., 2021)

Learning the random variables in Monte Carlo simulations with stochastic gradient descent: Machine learning for parametric PDEs and financial derivative pricing. - Sebastian Becker; Arnulf Jentzen; Marvin S. Müller; Philippe von Wurstemberger (CoRR, 2022)

Deep learning approximations for non-local nonlinear PDEs with Neumann boundary conditions. - Victor Boussange; Sebastian Becker; Arnulf Jentzen; Benno Kuckuck; Loïc Pellissier (CoRR, 2022)

An efficient Monte Carlo scheme for Zakai equations. - Christian Beck; Sebastian Becker; Patrick Cheridito; Arnulf Jentzen; Ariel Neufeld (Commun. Nonlinear Sci. Numer. Simul., 2023)

Interoperable Open Data Platforms: A Prototype for Sharing CKAN Data Sources. - Sebastian Becker; Marcel Altendeitering (DATA, 2024)

Multi-Party Computation in Corporate Data Processing: Legal and Technical Insights. - Sebastian Becker; Christoph Bösch 001; Benjamin Hettwer; Thomas Hoeren; Merlin Rombach; Sven Trieflinger; Hossein Yalame (IACR Cryptol. ePrint Arch., 2025)

Expert Survey: AI Reliability & Security Research Priorities. - Joe O'Brien; Jeremy Dolan; Jay Kim; Jonah Dykhuizen; Jeba Sania; Sebastian Becker; Jam Kraprayoon; Cara Labrador (CoRR, 2025)