| Approximation of discrete phase-type distributions C Isensee, G Horton 38th Annual Simulation Symposium, 99-106, 2005 | 31 | 2005 |
| Hidden non-markovian models: Formalization and solution approaches C Krull, G Horton Proc. of the 6th Vienna Conference on Mathematical Modelling, ARGESIM Report …, 2009 | 27 | 2009 |
| A new approach for touch gesture recognition: Conversive Hidden non-Markovian Models T Dittmar, C Krull, G Horton Journal of Computational Science 10, 66-76, 2015 | 22 | 2015 |
| A new approach for touch gesture recognition: Conversive Hidden non-Markovian Models T Dittmar, C Krull, G Horton Journal of Computational Science 10, 66-76, 2015 | 22 | 2015 |
| Interpretation and optimization of material flow via system behavior reconstruction B Denkena, B Dengler, K Doreth, C Krull, G Horton Production Engineering 8 (5), 659-668, 2014 | 18 | 2014 |
| Interpretation and optimization of material flow via system behavior reconstruction GH Berend Denkena, Barbara Dengler, Karl Doreth, Claudia Krull Production Engineering, 2014 | 18 | 2014 |
| Using hidden non-markovian models to reconstruct system behavior in partially-observable systems R Buchholz, C Krull, T Strigl, G Horton Proceedings of the 3rd International ICST Conference on Simulation Tools and …, 2010 | 16 | 2010 |
| Virtual Stochastic Sensors: How to gain Insight into Partially Observable Discrete Stochastic Systems C Krull, R Buchholz, G Horton The 30th IASTED International Conference on Modelling, Identification and …, 2011 | 14 | 2011 |
| A Multi-Level Method for the Steady State Solution of Markov Chains. C Isensee, G Horton SimVis, 191-202, 2004 | 14 | 2004 |
| Modeling of Gestures with Differing Execution Speeds: Are Hidden non-Markovian Models Applicable for Gesture Recognition S Bosse, C Krull, G Horton 10th International Conference on Modelling & Applied Simulation, Rome, Italy, 2011 | 11 | 2011 |
| Reconstructing model parameters in partially-observable discrete stochastic systems R Buchholz, C Krull, G Horton International Conference on Analytical and Stochastic Modeling Techniques …, 2011 | 11 | 2011 |
| Testing Applicability of Virtual Stochastic Sensors for Non-Intrusive Appliance Load Monitoring C Krull, M Thiel, G Horton Electronic Notes in Theoretical Computer Science 337, 119-134, 2018 | 10 | 2018 |
| Combining proxels and discrete phases C Isensee, S Lazarova-Molnar, G Horton International Conference on Modeling, Simulation and Applied Optimization …, 2005 | 10 | 2005 |
| Solving hidden non-markovian models: how to compute conditional state change probabilities C Krull, G Horton | 9 | 2009 |
| A new approach for computing conditional probabilities of general stochastic processes F Wickborn, C Isensee, T Simon, S Lazarova-Molnar, G Horton 39th Annual Simulation Symposium (ANSS'06), 8 pp.-159, 2006 | 9 | 2006 |
| Proxel-Based Simulation of Project Schedules C Isensee, G Horton European Simulation multiconference, 71-76, 2004 | 9 | 2004 |
| Matching hidden non-markovian models: Diagnosing illnesses based on recorded symptoms C Krull, R Buchholz, G Horton The 24th annual European Simulation and Modelling Conference (October 2010), 2010 | 8 | 2010 |
| Discrete-Time Markov Chains: Advanced Applications in Simulation C Krull SCS Publishing House eV, 2008 | 8 | 2008 |
| Improving the Effectiveness of Ideation Using Analogies: Choosing the Right External Stimuli SW Knoll, G Horton, C Krull, T Dittmar Innovation 1, 2015 | 7 | 2015 |
| The effect of rare events on the evaluation and decoding of hidden non-markovian models C Krull, G Horton 7th International Workshop on Rare Event Simulation, 153-164, 2008 | 7 | 2008 |
