Applications of machine learning to behavioral sciences: focus on categorical data

P Dehghan, H Alashwal, AA Moustafa - Discover Psychology, 2022 - Springer
In the last two decades, advancements in artificial intelligence and data science have
attracted researchers' attention to machine learning. Growing interests in applying machine …

Tinjauan literatur bersistematik: Faktor burnout dalam kalangan Guru

SA Jose, M Effendi, EM Matore - Malaysian Journal of Social …, 2021 - msocialsciences.com
Kerjaya sebagai seorang guru sememangnya memberikan pulangan yang memuaskan
namun ia juga merupakan kerjaya yang amat mencabar. Dengan masa kerja yang tidak …

Mental issues, internet addiction and quality of life predict burnout among Hungarian teachers: a machine learning analysis

G Feher, K Kapus, A Tibold, Z Banko, G Berke… - BMC Public Health, 2024 - Springer
Background Burnout is usually defined as a state of emotional, physical, and mental
exhaustion that affects people in various professions (eg physicians, nurses, teachers). The …

Interpretable machine learning approach to predicting electric vehicle buying decisions

H Naseri, EOD Waygood, B Wang… - Transportation …, 2023 - journals.sagepub.com
To address the problem of climate change emissions from the transport sector, many
countries are promoting electric vehicles (EVs). To support such efforts, it is essential to …

Work-related burnout among public secondary school teachers is significantly influenced by the psychosocial work factors: a cross-sectional study from Ethiopia

AA Belay, KA Gasheya, GT Engdaw, GG Kabito… - Frontiers in …, 2023 - frontiersin.org
Introduction Work-related burnout (WRB) is the degree of physical and psychological fatigue
and exhaustion perceived by individuals as related to their work. Even though the condition …

Non-technical losses detection in energy consumption focusing on energy recovery and explainability

B Coma-Puig, J Carmona - Machine Learning, 2022 - Springer
Non-technical losses (NTL) is a problem that many utility companies try to solve, often using
black-box supervised classification algorithms. In general, this approach achieves good …

Síndrome de Burnout en profesores de escuelas de países latinoamericanos

EE Santa Cruz Flores, JE Rojas Jaimes… - … de Prevención de …, 2021 - SciELO Espana
La prevención de riesgos laborales es una tarea que deben atender las organizaciones
para evitar problemas ocupacionales que impacten en la salud, el desempeño laboral y el …

Evaluating machine learning algorithms to detect employees' attrition

N Khalifa, M Alnasheet… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Employees' Attrition has become a well-known concept among organizations in the recent
years, and it is a problem that leads to many issues within organizations. Companies can …

[PDF][PDF] Predictive Analysis Research for Workplace Job Risks and Burnout of Public Health and Safety Inspectors Amid the Global Climate Crisis

I Adamopoulos, A Valamontes, G Dounias - 2025 - researchgate.net
The increasing severity of climate-related workplace hazards poses a significant challenge
to occupational health and safety. Public Health and Safety Inspectors are particularly …

[PDF][PDF] Predicting Workplace Hazard, Stress and Burnout Among Public Health Inspectors: An AI-driven Analysis in the Context of Climate Change

I Adamopoulos, A Valamontes, P Tsirkas, G Dounias - 2025 - researchgate.net
The increasing severity of climate-related workplace hazards challenges occupational
health and safety, particularly for Public Health and Safety Inspectors. Exposure to extreme …