Computational State Space Models for Activity and Intention Recognition. A Feasibility Study F Krüger, M Nyolt, K Yordanova, A Hein, T Kirste PLOS ONE 9 (11), e109381, 2014 | 99 | 2014 |
Artifact-centric modeling using BPMN N Lohmann, M Nyolt Service-Oriented Computing-ICSOC 2011 Workshops, 54-65, 2011 | 34 | 2011 |
Marginal filtering in large state spaces M Nyolt, F Krüger, K Yordanova, A Hein, T Kirste International Journal of Approximate Reasoning 61, 16-32, 2015 | 24 | 2015 |
Checking Models for Activity Recognition M Nyolt, K Yordanova, T Kirste International Conference on Agents and Artificial Intelligence, 2015 | 9 | 2015 |
On Resampling for Bayesian Filters in Discrete State Spaces M Nyolt, T Kirste Tools with Artificial Intelligence (ICTAI), 2015 IEEE 27th International …, 2015 | 8 | 2015 |
A context-aware publish-subscribe middleware for distributed smart environments S Bader, M Nyolt Pervasive Computing and Communications Workshops (PERCOM Workshops), 2012 …, 2012 | 6 | 2012 |
Strategies for Reducing the Complexity of Symbolic Models for Activity Recognition K Yordanova, M Nyolt, T Kirste Artificial Intelligence: Methodology, Systems, and Applications, 295-300, 2014 | 5 | 2014 |
A Novel Infrastructure for Supporting Display Ecologies C Eichner, M Nyolt, H Schumann Advances in Visual Computing 9475, 722-732, 2015 | 2 | 2015 |
Efficient SMC inference in Semi-Markov models by compressing the belief state M Nyolt, T Kirste Control, Automation and Robotics (ICCAR), 2017 3rd International Conference …, 2017 | 1 | 2017 |
Concept and Realisation of a Framework for Testing General Assistance Systems M Nyolt University of Rostock, Computer Science, 2012 | 1 | 2012 |
Modellierung artefaktzentrierter Geschäftsprozesse M Nyolt Bachelor Thesis, Universität Rostock, 2011 | 1 | 2011 |
Describing and Evaluating Assistance Using APDL M Nyolt, A Steiniger, S Bader, T Kirste Smart Modeling and Simulation for Complex Systems, 59-81, 2015 | | 2015 |