Wesllei Felipe Heckler

According to our database, Wesllei Felipe Heckler authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A computational model for assisting individuals with suicidal ideation based on context histories.

Derick M. Rentz, Wesllei Felipe Heckler, Jorge L. V. Barbosa

Univers. Access Inf. Soc., August, 2024

Machine learning applied to digital phenotyping: A systematic literature review and taxonomy.

Marília Pit dos Santos, Wesllei Felipe Heckler, Rodrigo Simon Bavaresco, Jorge Luis Victória Barbosa

Comput. Hum. Behav., 2024

2023

Thoth: An intelligent model for assisting individuals with suicidal ideation.

Wesllei Felipe Heckler, Luan Paris Feijó, Juliano Varella de Carvalho, Jorge Luis Victória Barbosa

Expert Syst. Appl., December, 2023

Problematic smartphone use on mental health: a systematic mapping study and taxonomy.

Gustavo Lazarotto Schroeder, Wesllei Felipe Heckler, Rosemary Francisco, Jorge Luis Victória Barbosa

Behav. Inf. Technol., December, 2023

Ubiquitous computing to accessible way-finding: a systematic mapping study.

Willian Felipe Werlang, Juarez Machado da Silva, Wesllei Felipe Heckler, Marcelo Josué Telles, Jorge Luis Victória Barbosa

Int. J. Bus. Inf. Syst., 2023

Ontology-Based Reasoning to Classify Behaviors Associated with Chronic Disease Risk Factors.

Lucas Pfeiffer Salomão Dias, Henrique Damasceno Vianna, Wesllei Felipe Heckler, Jorge Luis Victória Barbosa

Proceedings of the XIX Brazilian Symposium on Information Systems, 2023

2022

Towards ubiquitous requirements engineering through recommendations based on context histories.

Robson Lima, Alexsandro Souza Filippetto, Wesllei Felipe Heckler, Jorge L. V. Barbosa, Valderi R. Q. Leithardt

PeerJ Comput. Sci., 2022

Machine learning for suicidal ideation identification: A systematic literature review.

Wesllei Felipe Heckler, Juliano Varella de Carvalho, Jorge Luis Victória Barbosa

Comput. Hum. Behav., 2022

2020

A Model to Patient Abandonment Prediction in the Pulmonary Rehabilitation.

Wesllei Felipe Heckler, Juliano Varella de Carvalho, Cássia Cinara da Costa, Jorge Luis Victória Barbosa

Proceedings of the SBSI'20: XVI Brazilian Symposium on Information Systems, 2020