Reliable Machine Learning for Wearable Activity Monitoring

Author:

Hussein Dina1,Belkhouja Taha1,Bhat Ganapati1,Doppa Janardhan Rao1

Affiliation:

1. Washington State Univ.

Publisher

ACM

Reference35 articles.

1. Classifying Daily and Sports Activities Invariantly to the Positioning of Wearable Motion Sensor Units

2. Analyzing Deep Learning for Time-Series Data Through Adversarial Lens in Mobile and IoT Applications

3. Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features

4. T. Belkhouja , Y. Yan , and J. R. Doppa . Dynamic Time Warping based Adversarial Framework for Time-Series Domain. CoRR, abs/2207.04308 , 2022 . T. Belkhouja, Y. Yan, and J. R. Doppa. Dynamic Time Warping based Adversarial Framework for Time-Series Domain. CoRR, abs/2207.04308, 2022.

5. T. Belkhouja , Y. Yan , and J. R. Doppa . Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis. In Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022 , pages 6055 -- 6063 , 2022 . T. Belkhouja, Y. Yan, and J. R. Doppa. Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis. In Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, pages 6055--6063, 2022.

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