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Timo Sztyler
Timo Sztyler
Bestätigte E-Mail-Adresse bei neclab.eu
Titel
Zitiert von
Zitiert von
Jahr
On-body localization of wearable devices: An investigation of position-aware activity recognition
T Sztyler, H Stuckenschmidt
2016 IEEE international conference on pervasive computing and communications …, 2016
3782016
Position-aware activity recognition with wearable devices
T Sztyler, H Stuckenschmidt, W Petrich
Pervasive and mobile computing 38, 281-295, 2017
1642017
Unsupervised recognition of interleaved activities of daily living through ontological and probabilistic reasoning
D Riboni, T Sztyler, G Civitarese, H Stuckenschmidt
Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016
1292016
CODI: Combinatorial optimization for data integration–results for OAEI 2011
J Huber, T Sztyler, J Noessner, C Meilicke
Ontology Matching 134, 2011
1152011
Online personalization of cross-subjects based activity recognition models on wearable devices
T Sztyler, H Stuckenschmidt
2017 IEEE International conference on pervasive computing and communications …, 2017
742017
Self-tracking reloaded: applying process mining to personalized health care from labeled sensor data
T Sztyler, J Carmona, J Völker, H Stuckenschmidt
Transactions on Petri nets and other models of concurrency XI, 160-180, 2016
492016
newnectar: Collaborative active learning for knowledge-based probabilistic activity recognition
G Civitarese, C Bettini, T Sztyler, D Riboni, H Stuckenschmidt
Pervasive and Mobile Computing 56, 88-105, 2019
452019
Discovery of personal processes from labeled sensor data: An application of process mining to personalized health care
T Sztyler, J Völker, J Carmona Vargas, O Meier, H Stuckenschmidt
Proceedings of the International Workshop on Algorithms & Theories for the …, 2015
452015
Hips do lie! a position-aware mobile fall detection system
C Krupitzer, T Sztyler, J Edinger, M Breitbach, H Stuckenschmidt, ...
2018 IEEE International Conference on Pervasive Computing and Communications …, 2018
442018
NECTAR: Knowledge-based collaborative active learning for activity recognition
G Civitarese, C Bettini, T Sztyler, D Riboni, H Stuckenschmidt
2018 IEEE International Conference on Pervasive Computing and Communications …, 2018
392018
Polaris: Probabilistic and ontological activity recognition in smart-homes
G Civitarese, T Sztyler, D Riboni, C Bettini, H Stuckenschmidt
IEEE Transactions on Knowledge and Data Engineering 33 (1), 209-223, 2019
292019
Challenges in annotation of user data for ubiquitous systems: Results from the 1st arduous workshop
K Yordanova, A Paiement, M Schröder, E Tonkin, P Woznowski, ...
arXiv preprint arXiv:1803.05843, 2018
252018
A smart data annotation tool for multi-sensor activity recognition
A Diete, T Sztyler, H Stuckenschmidt
2017 IEEE International Conference on Pervasive Computing and Communications …, 2017
252017
Beyond position-awareness—Extending a self-adaptive fall detection system
C Krupitzer, T Sztyler, J Edinger, M Breitbach, H Stuckenschmidt, ...
Pervasive and Mobile Computing 58, 101026, 2019
222019
LODE: Linking digital humanities content to the web of data
T Sztyler, J Huber, J Noessner, J Murdock, C Allen, M Niepert
IEEE/ACM Joint Conference on Digital Libraries, 423-424, 2014
222014
Comparing apples and oranges? on the evaluation of methods for temporal knowledge graph forecasting
J Gastinger, T Sztyler, L Sharma, A Schuelke, H Stuckenschmidt
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
162023
Modeling and reasoning with problog: an application in recognizing complex activities
T Sztyler, G Civitarese, H Stuckenschmidt
2018 IEEE International Conference on Pervasive Computing and Communications …, 2018
162018
Explaining neural matrix factorization with gradient rollback
C Lawrence, T Sztyler, M Niepert
Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 4987-4995, 2021
152021
Sensor-based human activity recognition: Overcoming issues in a real world setting
T Sztyler
PQDT-Global, 2019
142019
Recognizing grabbing actions from inertial and video sensor data in a warehouse scenario
A Diete, T Sztyler, L Weiland, H Stuckenschmidt
Procedia computer science 110, 16-23, 2017
142017
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