Yiran Huang

DragTapVib: An On-Skin Electromagnetic Drag, Tap, and Vibration Actuator for Wearable Computing

M. Beigl, Ting Zhu, Likun Fang, 2022, AHs.

Universal Distributional Decision-based Black-box Adversarial Attack with Reinforcement Learning

M. Beigl, T. Riedel, Michael Hefenbrock, 2022, ICONIP.

Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone pdf

Yuting Gao, Michael Beigl, Till Riedel, 2020, ECML/PKDD.

TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition

M. Beigl, T. Riedel, Michael Hefenbrock, 2022, SEMWEB.

NeuralIO: Indoor Outdoor Detection via Multimodal Sensor Data Fusion on Smartphones

Long Wang, Michael Beigl, Till Riedel, 2019, SmartCity360°.

randomHAR: Improving Ensemble Deep Learners for Human Activity Recognition with Sensor Selection and Reinforcement Learning

M. Beigl, T. Riedel, Likun Fang, 2023, arXiv.org.

Automated Wolf Motor Function Test (WMFT) for Upper Extremities Rehabilitation

Majid Sarrafzadeh, Yiran Huang, Mahsan Rofouei, 2012, 2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks.

McXai: Local Model-Agnostic Explanation As Two Games

M. Beigl, T. Riedel, Michael Hefenbrock, 2022, 2023 International Joint Conference on Neural Networks (IJCNN).

Standardizing Your Training Process for Human Activity Recognition Models – A Comprehensive Review in the Tunable Factors ⋆

M. Beigl, T. Riedel, Yiran Huang, 2022 .