Reconstruction of Everyday Life Behaviour based on Noisy Sensor Data. - Max Schröder; Sebastian Bader 001; Frank Krüger 001; Thomas Kirste (ICAART (2), 2016)

Tool support for the online annotation of sensor data. - Max Schröder; Kristina Y. Yordanova; Sebastian Bader 001; Thomas Kirste (iWOAR, 2016)

Abstracting from Observation-Equivalent Entities in Human Behavior Modeling. - Max Schröder; Stefan Lüdtke; Sebastian Bader 001; Frank Krüger 001; Thomas Kirste (AAAI Workshops, 2017)

Where are my colleagues?: Tracking and Counting Multiple Persons using Lifted Marginal Filtering. - Stefan Lüdtke; Max Schröder; Frank Krüger 001; Thomas Kirste (iWOAR, 2017)

LiMa: Sequential Lifted Marginal Filtering on Multiset State Descriptions. - Max Schröder; Stefan Lüdtke; Sebastian Bader 001; Frank Krüger 001; Thomas Kirste (KI, 2017)

Sequential Lifted Bayesian Filtering in Multiset Rewriting Systems. - Max Schröder; Stefan Lüdtke; Sebastian Bader 001; Frank Krüger 001; Thomas Kirste (CoRR, 2017)

Lifted Filtering via Exchangeable Decomposition. - Stefan Lüdtke; Max Schröder; Sebastian Bader 001; Kristian Kersting; Thomas Kirste (IJCAI, 2018)

Approximate Probabilistic Parallel Multiset Rewriting Using MCMC. - Stefan Lüdtke; Max Schröder; Thomas Kirste (KI, 2018)

Challenges in Annotation of useR Data for UbiquitOUs Systems: Results from the 1st ARDUOUS Workshop. - Kristina Y. Yordanova; Adeline Paiement; Max Schröder; Emma Tonkin; Przemyslaw Woznowski; Carl Magnus Olsson; Joseph Rafferty; Timo Sztyler (CoRR, 2018)

State-Space Abstractions for Probabilistic Inference: A Systematic Review. - Stefan Lüdtke; Max Schröder; Frank Krüger 001; Sebastian Bader 001; Thomas Kirste (J. Artif. Intell. Res., 2018)

Requirements for Documenting Electrical Cell Stimulation Experiments for Replicability and Numerical Modeling. - Kai Budde; Julius Zimmermann; Elisa Neuhaus; Max Schröder; Adelinde M. Uhrmacher; Ursula van Rienen (EMBC, 2019)

PROVenance Patterns in Numerical Modelling and Finite Element Simulation Processes of Bio-electric Systems. - Max Schröder; Hendrikje Raben; Frank Krüger 001; Andreas Ruscheinski; Ursula van Rienen; Adelinde M. Uhrmacher; Sascha Spors (EMBC, 2019)

Combining Symbolic Reasoning and Deep Learning for Human Activity Recognition. - Fernando Moya Rueda; Stefan Lüdtke; Max Schröder; Kristina Y. Yordanova; Thomas Kirste; Gernot A. Fink (PerCom Workshops, 2019)

Reproducible Research is more than Publishing Research Artefacts: A Systematic Analysis of Jupyter Notebooks from Research Articles. - Max Schröder; Frank Krüger 001; Sascha Spors (CoRR, 2019)

Towards in-situ knowledge acquisition for research data provenance from electronic lab notebooks. - Max Schröder; Susanne Stählke; J. Barbara Nebe; Frank Krüger 001 (DaMaLOS, 2020)

Intra-consortia data sharing platforms for interdisciplinary collaborative research projects. - Max Schröder; Hayley LeBlanc; Sascha Spors; Frank Krüger 001 (it Inf. Technol., 2020)

OSS-DBS: Open-source simulation platform for deep brain stimulation with a comprehensive automated modeling. - Konstantin Butenko; Christian Bahls; Max Schröder; Rüdiger Köhling; Ursula van Rienen (PLoS Comput. Biol., 2020)

Neural network guided adjoint computations in dual weighted residual error estimation. - Julian Roth; Max Schröder; Thomas Wick (CoRR, 2021)

Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation. - Max Schröder; Susanne Stählke; Paul Groth; J. Barbara Nebe; Sascha Spors; Frank Krüger 001 (J. Biomed. Semant., 2022)

A Survey on the Current Status of Research Data Management in Mecklenburg-Vorpommern Preliminary Results for a Questionnaire Study Among Researchers. - Max Schröder; Sascha Genehr; Rüdiger Köhling; Stefan Schmidt; Ralf Schneider; Sascha Spors; Gero Szepannek; Dagmar Waltemath; Frank Krüger 001 (CoRDI, 2023)

Modelling three dimensions of provenance for wet-lab experiments: prospective, retrospective, and evolution. - Susanne Stählke; Frank Krüger 001; Meike Bielfeldt; J. Barbara Nebe; Sascha Genehr; Max Schröder; Sascha Spors (DaMaLOS, 2023)

TAPP: Defining standard provenance information for clinical research data and workflows - Obstacles and opportunities. - Kerstin Gierend; Judith A. H. Wodke; Sascha Genehr; Robert Gött; Ron Henkel; Frank Krüger 001; Markus Mandalka; Lea Michaelis; Alexander Scheuerlein; Max Schröder; Atinkut Zeleke; Dagmar Waltemath (WWW (Companion Volume), 2023)

Towards dimensions and granularity in a unified workflow and data provenance framework. - Tanja Auge; Sascha Genehr; Meike Klettke; Frank Krüger 001; Max Schröder (CoRR, 2025)