Max Schröder - RankMe

26 papers A* 1Misc 2Journal 11Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Towards dimensions and granularity in a unified workflow and data provenance framework. CoRR Tanja Auge, Sascha Genehr, Meike Klettke, Frank Krüger, Max Schröder
2023	—	`conf`	A Survey on the Current Status of Research Data Management in Mecklenburg-Vorpommern Preliminary Results for a Questionnaire Study Among Researchers. CoRDI Max Schröder, Sascha Genehr, Rüdiger Köhling, Stefan Schmidt, Ralf Schneider, Sascha Spors, Gero Szepannek, Dagmar Waltemath, Frank Krüger
2023	—	`conf`	Modelling three dimensions of provenance for wet-lab experiments: prospective, retrospective, and evolution. DaMaLOS Susanne Stählke, Frank Krüger, Meike Bielfeldt, J. Barbara Nebe, Sascha Genehr, Max Schröder, Sascha Spors
2023	—	`conf`	TAPP: Defining standard provenance information for clinical research data and workflows - Obstacles and opportunities. WWW (Companion Volume) Kerstin Gierend, Judith A. H. Wodke, Sascha Genehr, Robert Gött, Ron Henkel, Frank Krüger, Markus Mandalka, Lea Michaelis, Alexander Scheuerlein, Max Schröder, Atinkut Zeleke, Dagmar Waltemath
2022	J	`jnl`	Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation. J. Biomed. Semant. Max Schröder, Susanne Stählke, Paul Groth, J. Barbara Nebe, Sascha Spors, Frank Krüger
2021	J	`jnl`	Neural network guided adjoint computations in dual weighted residual error estimation. CoRR Julian Roth, Max Schröder, Thomas Wick
2020	J	`jnl`	Intra-consortia data sharing platforms for interdisciplinary collaborative research projects. it Inf. Technol. Max Schröder, Hayley LeBlanc, Sascha Spors, Frank Krüger
2020	J	`jnl`	OSS-DBS: Open-source simulation platform for deep brain stimulation with a comprehensive automated modeling. PLoS Comput. Biol. Konstantin Butenko, Christian Bahls, Max Schröder, Rüdiger Köhling, Ursula van Rienen
2020	—	`conf`	Towards in-situ knowledge acquisition for research data provenance from electronic lab notebooks. DaMaLOS Max Schröder, Susanne Stählke, J. Barbara Nebe, Frank Krüger
2019	—	`conf`	Combining Symbolic Reasoning and Deep Learning for Human Activity Recognition. PerCom Workshops Fernando Moya Rueda, Stefan Lüdtke, Max Schröder, Kristina Y. Yordanova, Thomas Kirste, Gernot A. Fink
2019	—	`conf`	PROVenance Patterns in Numerical Modelling and Finite Element Simulation Processes of Bio-electric Systems. EMBC Max Schröder, Hendrikje Raben, Frank Krüger, Andreas Ruscheinski, Ursula van Rienen, Adelinde M. Uhrmacher, Sascha Spors
2019	J	`jnl`	Reproducible Research is more than Publishing Research Artefacts: A Systematic Analysis of Jupyter Notebooks from Research Articles. CoRR Max Schröder, Frank Krüger, Sascha Spors
2019	—	`conf`	Requirements for Documenting Electrical Cell Stimulation Experiments for Replicability and Numerical Modeling. EMBC Kai Budde, Julius Zimmermann, Elisa Neuhaus, Max Schröder, Adelinde M. Uhrmacher, Ursula van Rienen
2018	Misc	`conf`	Approximate Probabilistic Parallel Multiset Rewriting Using MCMC. KI Stefan Lüdtke, Max Schröder, Thomas Kirste
2018	J	`jnl`	Challenges in Annotation of useR Data for UbiquitOUs Systems: Results from the 1st ARDUOUS Workshop. CoRR Kristina Y. Yordanova, Adeline Paiement, Max Schröder, Emma Tonkin, Przemyslaw Woznowski, Carl Magnus Olsson, Joseph Rafferty, Timo Sztyler
2018	A*	`conf`	Lifted Filtering via Exchangeable Decomposition. IJCAI Stefan Lüdtke, Max Schröder, Sebastian Bader, Kristian Kersting, Thomas Kirste
2018	J	`jnl`	Lifted Filtering via Exchangeable Decomposition. CoRR Stefan Lüdtke, Max Schröder, Sebastian Bader, Kristian Kersting, Thomas Kirste
2018	J	`jnl`	State-Space Abstractions for Probabilistic Inference: A Systematic Review. CoRR Stefan Lüdtke, Max Schröder, Frank Krüger, Sebastian Bader, Thomas Kirste
2018	J	`jnl`	State-Space Abstractions for Probabilistic Inference: A Systematic Review. J. Artif. Intell. Res. Stefan Lüdtke, Max Schröder, Frank Krüger, Sebastian Bader, Thomas Kirste
2017	—	`conf`	Abstracting from Observation-Equivalent Entities in Human Behavior Modeling. AAAI Workshops Max Schröder, Stefan Lüdtke, Sebastian Bader, Frank Krüger, Thomas Kirste
2017	Misc	`conf`	LiMa: Sequential Lifted Marginal Filtering on Multiset State Descriptions. KI Max Schröder, Stefan Lüdtke, Sebastian Bader, Frank Krüger, Thomas Kirste
2017	—	`ed.`	Proceedings of the 4th international Workshop on Sensor-based Activity Recognition and Interaction, iWOAR 2017, Rostock, Germany, September 21 - 22, 2017 iWOAR Kristina Y. Yordanova, Max Schröder, Sebastian Bader, Thomas Kirste
2017	J	`jnl`	Sequential Lifted Bayesian Filtering in Multiset Rewriting Systems. CoRR Max Schröder, Stefan Lüdtke, Sebastian Bader, Frank Krüger, Thomas Kirste
2017	—	`conf`	Where are my colleagues?: Tracking and Counting Multiple Persons using Lifted Marginal Filtering. iWOAR Stefan Lüdtke, Max Schröder, Frank Krüger, Thomas Kirste
2016	—	`conf`	Reconstruction of Everyday Life Behaviour based on Noisy Sensor Data. ICAART (2) Max Schröder, Sebastian Bader, Frank Krüger, Thomas Kirste
2016	—	`conf`	Tool support for the online annotation of sensor data. iWOAR Max Schröder, Kristina Y. Yordanova, Sebastian Bader, Thomas Kirste