bsc-computer_science-thesis
Research Thesis in Machine Learning for the achievement of Bachelor of Science in Computer Science.
https://github.com/robertovicario/bsc-computer_science-thesis
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
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○DOI references
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○Academic publication links
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.4%) to scientific vocabulary
Keywords
Repository
Research Thesis in Machine Learning for the achievement of Bachelor of Science in Computer Science.
Basic Info
- Host: GitHub
- Owner: robertovicario
- License: other
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://raw.githubusercontent.com/robertovicario/BSc-Computer-Science-Thesis/main/Applicare_il_Machine_Learning_per_il_Rilevamento_dello_Stress_negli_Ambienti_di_Lavoro_di_Ufficio.pdf
- Size: 9.29 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
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Apply Machine Learning for Stress Detection in Office Work Environments
Abstract
Detecting stress in workplace environments represents an innovative element for promoting employee health and well-being, particularly in office settings. The use of machine learning in this context offers an effective approach to identifying early signs of stress, allowing organizations to intervene promptly to mitigate associated risks. Of particular interest is examining whether the results obtained through unsupervised learning methods can be comparable to those derived from supervised approaches, as highlighted in the research "Exploring Unsupervised Machine Learning Classification Methods for Physiological Stress Detection" by Iqbal et al. (2022) in the journal Frontiers in Medical Technology.
Thesis
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Credits
[!IMPORTANT]
If you use or reference this project, please cite it as follows:
bib @thesis{vicario2024apply, author = {Vicario, Roberto}, title = {Apply Machine Learning for Stress Detection in Office Work Environments}, year = {2024}, url = {https://raw.githubusercontent.com/robertovicario/BSc-Computer-Science-Thesis/main/Applicare_il_Machine_Learning_per_il_Rilevamento_dello_Stress_negli_Ambienti_di_Lavoro_di_Ufficio.pdf} }
License
This project is distributed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International. You can find the complete text of the license in the project repository.
Owner
- Name: Roberto Vicario
- Login: robertovicario
- Kind: user
- Location: Como, Italy
- Company: University of Insubria
- Website: https://www.robertovicario.com
- Repositories: 1
- Profile: https://github.com/robertovicario
Software Engineer
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Vicario"
given-names: "Roberto"
orcid: "https://orcid.org/0009-0009-7426-3958"
title: "BSc Computer Science Thesis"
version: 1.0.0
date-released: 2024-02-21
url: "https://github.com/robertovicario/BSc-Computer_Science-Thesis"
GitHub Events
Total
- Push event: 12
Last Year
- Push event: 12