Is the Overfitting in a Neural Network a Reliable Model for the Recognition of Activities of Daily Living?-Reference-Cited by-同舟云学术

Is the Overfitting in a Neural Network a Reliable Model for the Recognition of Activities of Daily Living?

Published:2019-09-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good
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Author:

Xu Lina¹,Pombo Nuno²,Pires Ivan Miguel²,Garcia Nuno M.²

Affiliation:

1. University College Dublin, Dublin, Ireland

2. Instituto de Telecomunicações, Universidade da Beira Interior, Covilhã, Portugal

Funder

Fundação para a Ciência e a Tecnologia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3342428.3342698

Reference18 articles.

1. Generation of human computational models with machine learning

2. Distilling the Knowledge From Handcrafted Features for Human Activity Recognition

3. Divide and Conquer-Based 1D CNN Human Activity Recognition Using Test Data Sharpening;Cho Heeryon;Sensors,2018

4. Ciprian Dobre Constandinos x Mavromoustakis Nuno Garcia Rossitza Ivanova Goleva and George Mastorakis. 2016. Ambient Assisted Living and Enhanced Living Environments: Principles Technologies and Control. Butterworth-Heinemann Butterworth-Heinemann. Ciprian Dobre Constandinos x Mavromoustakis Nuno Garcia Rossitza Ivanova Goleva and George Mastorakis. 2016. Ambient Assisted Living and Enhanced Living Environments: Principles Technologies and Control. Butterworth-Heinemann Butterworth-Heinemann.

5. Nuno M Garcia and Joel Jose P C Rodrigues. 2015. Ambient assisted living. CRC Press Boca Ratom FL. Nuno M Garcia and Joel Jose P C Rodrigues. 2015. Ambient assisted living. CRC Press Boca Ratom FL.

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