Wesllei Felipe Heckler

Orcid: 0000-0002-2108-3752

According to our database1, Wesllei Felipe Heckler authored at least 16 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
OntoKratos: An Ontology for Problematic Smartphone Use Identification and Intervention Suggestion.
J. Univers. Comput. Sci., 2026

EquiliBubble: An adaptive serious game for assistance in static balance rehabilitation.
Entertain. Comput., 2026

2025
Machine learning applications for wheelchair user well-being: a systematic literature review and taxonomy.
Univers. Access Inf. Soc., August, 2025

Integrating Collaborative Learning and Advanced Technology in Industry 5.0: A Systematic Mapping Study and Taxonomy.
Int. J. Hum. Comput. Interact., January, 2025

OntoKaire: an ontology-based reasoning for work-related stressors in industrial settings.
J. Univers. Comput. Sci., 2025

Digital phenotyping for mental health based on data analytics: A systematic literature review.
Artif. Intell. Medicine, 2025

2024
A computational model for assisting individuals with suicidal ideation based on context histories.
Univers. Access Inf. Soc., August, 2024

Identificando Comportamentos de Risco para Doenças Crônicas: Uma abordagem baseada em ontologia.
Braz. J. Inf. Syst., 2024

Machine learning applied to digital phenotyping: A systematic literature review and taxonomy.
Comput. Hum. Behav., 2024

2023
Thoth: An intelligent model for assisting individuals with suicidal ideation.
Expert Syst. Appl., December, 2023

Problematic smartphone use on mental health: a systematic mapping study and taxonomy.
Behav. Inf. Technol., December, 2023

Ubiquitous computing to accessible way-finding: a systematic mapping study.
Int. J. Bus. Inf. Syst., 2023

Ontology-Based Reasoning to Classify Behaviors Associated with Chronic Disease Risk Factors.
Proceedings of the XIX Brazilian Symposium on Information Systems, 2023

2022
Towards ubiquitous requirements engineering through recommendations based on context histories.
PeerJ Comput. Sci., 2022

Machine learning for suicidal ideation identification: A systematic literature review.
Comput. Hum. Behav., 2022

2020
A Model to Patient Abandonment Prediction in the Pulmonary Rehabilitation.
Proceedings of the SBSI'20: XVI Brazilian Symposium on Information Systems, 2020


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