Capturing causality and bias in human action recognition-Reference-Cited by-同舟云学术

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Capturing causality and bias in human action recognition

Published:2021-07 Issue: Volume:147 Page:164-171
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Lai Kenneth,Yanushkevich Svetlana N.^ORCID,Shmerko Vlad^ORCID,Hou Ming

Funder

Canada Department of National Defense

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference37 articles.

1. Seniors’ Falls in Canada : Second Report;Public Health Agency of Canada,2014

2. Report summary-seniors’ falls in Canada: second report: key highlights;Stinchcombe;Chronic Dis. Inj. Canada,2014

3. Feature-based SLAM algorithm for small scale UAV with nadir view;Avola,2019

4. Assessing risks of biases in cognitive decision support systems;Lai,2021

5. Pedestrian movement direction recognition using convolutional neural networks;Dominguez-Sanchez;IEEE Trans. Intell. Transp. Syst.,2017

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1. Promoting fairness in activity recognition algorithms for patient’s monitoring and evaluation systems in healthcare;Computers in Biology and Medicine;2024-09

2. DanXe: An extended artificial intelligence framework to analyze and promote dance heritage;Digital Applications in Archaeology and Cultural Heritage;2024-06

3. Causal Inference Meets Deep Learning: A Comprehensive Survey;Research;2024-01

4. C-DTW for Human Action Recognition Based on Nanogenerator;Sensors;2023-08-17

5. Fall detection using mixtures of convolutional neural networks;Multimedia Tools and Applications;2023-07-24

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