Enhancing XGBoost with Heuristic Smoothing for Transportation Mode and Activity Recognition-Reference-Cited by-同舟云学术

Enhancing XGBoost with Heuristic Smoothing for Transportation Mode and Activity Recognition

Published:2023-10-08 Issue: Volume: Page:
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Container-title:Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing
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Author:

Alecci Lidia¹^ORCID,Alchieri Leonardo¹^ORCID,Abdalazim Nouran¹^ORCID,Barbiero Pietro¹^ORCID,Santini Silvia²^ORCID,Gjoreski Martin¹^ORCID

Affiliation:

1. Università della Svizzera Italiana (USI), Switzerland

2. Università della Svizzera italiana, Switzerland

Funder

Swiss National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3594739.3610752

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3. Ingrid Daubechies . 1988. Orthonormal bases of compactly supported wavelets. Communications on pure and applied mathematics 41, 7 ( 1988 ), 909–996. Ingrid Daubechies. 1988. Orthonormal bases of compactly supported wavelets. Communications on pure and applied mathematics 41, 7 (1988), 909–996.

4. Ingrid Daubechies. 1992. Ten lectures on wavelets. SIAM. Ingrid Daubechies. 1992. Ten lectures on wavelets. SIAM.

5. A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors

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1. Summary of SHL Challenge 2023: Recognizing Locomotion and Transportation Mode from GPS and Motion Sensors;Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing;2023-10-08