Author:
Bloch Andreas,Erdin Robert,Meyer Sonja,Keller Thomas,Spindler Alexandre de
Cited by
12 articles.
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1. A Method of User Travel Mode Recognition Based on Convolutional Neural Network and Cell Phone Signaling Data;Electronics;2023-09-01
2. Battery-friendly tiny models for activity recognition on energyconstrained devices;Sigma Journal of Engineering and Natural Sciences – Sigma Mühendislik ve Fen Bilimleri Dergisi;2023
3. Recognition of Activities of Daily Living Based on a Mobile Data Source Framework;Bio-inspired Neurocomputing;2020-07-22
4. A Hierarchical Classifier for Detecting Metro-Journey Activities in Data Sampled at Low Frequency;Proceedings of the 17th International Conference on Advances in Mobile Computing & Multimedia;2019-12-02
5. Locomotion recognition using XGBoost and neural network ensemble;Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers;2019-09-09