Stefan Lüdtke
Title
Cited by
Cited by
Year
Analysing cooking behaviour in home settings: Towards health monitoring
K Yordanova, S Lüdtke, S Whitehouse, F Krüger, A Paiement, M Mirmehdi, ...
Sensors 19 (3), 646, 2019
182019
Lifted filtering via exchangeable decomposition
S Lüdtke, M Schröder, S Bader, K Kersting, T Kirste
arXiv preprint arXiv:1801.10495, 2018
72018
State-space abstractions for probabilistic inference: a systematic review
S Lüdtke, M Schröder, F Krüger, S Bader, T Kirste
Journal of Artificial Intelligence Research 63, 789-848, 2018
62018
Combining Symbolic Reasoning and Deep Learning for Human Activity Recognition
FM Rueda, S Lüdtke, M Schröder, K Yordanova, T Kirste, GA Fink
2019 IEEE International Conference on Pervasive Computing and Communications …, 2019
52019
Approximate probabilistic parallel multiset rewriting using mcmc
S Lüdtke, M Schröder, T Kirste
Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2018
52018
An algorithm for actigraphy-based sleep/wake scoring: Comparison with polysomnography
S Lüdtke, W Hermann, T Kirste, H Beneš, S Teipel
Clinical Neurophysiology 132 (1), 137-145, 2021
42021
LiMa: sequential lifted marginal filtering on multiset state descriptions
M Schröder, S Lüdtke, S Bader, F Krüger, T Kirste
Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2017
42017
Human activity and context recognition using lifted marginal filtering
S Lüdtke, K Yordanova, T Kirste
2019 IEEE International Conference on Pervasive Computing and Communications …, 2019
32019
Abstracting from observation-equivalent entities in human behavior modeling
M Schröder, S Lüdtke, S Bader, F Krüger, T Kirste
Workshops at the Thirty-First AAAI Conference on Artificial Intelligence, 2017
32017
An Office Scenario Dataset for Benchmarking Observation-equivalent Entities
M Schröder, S Lüdtke, S Bader, F Krüger, T Kirste
32016
Sequential Lifted Bayesian Filtering in Multiset Rewriting Systems
M Schröder, S Lüdtke, S Bader, F Krüger, T Kirste
arXiv preprint arXiv:1707.06446, 2017
22017
Effect of Spatial Disorientation in a Virtual Environment on Gait and Vital Features in Patients with Dementia: Pilot Single-Blind Randomized Control Trial
CO Amaefule, S Lüdtke, T Kirste, SJ Teipel
JMIR Serious Games 8 (4), e18455, 2020
12020
Where are my colleagues? Tracking and Counting Multiple Persons using Lifted Marginal Filtering
S Lüdtke, M Schröder, F Krüger, T Kirste
Proceedings of the 4th international Workshop on Sensor-based Activity …, 2017
12017
Actigraphic Sleep Detection for Real-World Data of Healthy Young Adults and People with Alzheimer's Disease.
S Lüdtke, A Hein, F Krüger, S Bader, T Kirste
BIOSIGNALS, 185-192, 2017
12017
Lifted Bayesian Filtering in Multiset Rewriting Systems
S Lüdtke, T Kirste
Journal of Artificial Intelligence Research 69, 1203-1254, 2020
2020
Assessing accelerometric, gait and physiological parameters of induced spatial orientation in people with MCI or mild dementia and older healthy cohorts: Dementia care research …
CA Hinz, CO Amaefule, S Lüdtke, T Kirste, SJ Teipel
Alzheimer's & Dementia 16, e039910, 2020
2020
Physiological and Gait Pattern Effects of Induced Disorientation in a 3D Virtual Environment
A Klostermann, CO Amaefule, S Lüdtke, T Kirste, SJ Teipel
2020 Alzheimer's Association International Conference, 2020
2020
Measuring motion behavior to detect spatial disorientation in a VR environment
S Lüdtke, CO Amaefule, T Kirste, SJ Teipel
Proceedings of the 13th ACM International Conference on PErvasive …, 2020
2020
Lifted Marginal Filtering for Asymmetric Models by Clustering-Based Merging
S Lüdtke, M Gehrke, T Braun, R Möller, T Kirste
ECAI 2020, 2608-2615, 2020
2020
On the Applicability of Probabilistic Programming Languages for Causal Activity Recognition
S Lüdtke, M Popko, T Kirste
KI-Künstliche Intelligenz 33 (4), 389-399, 2019
2019
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