Alan De Oliveira Lyra

According to our database, Alan De Oliveira Lyra authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Generative AI Impact on the Future of Work: Insights from Software Development.

Caroline Da Conceição Lima, Herbert Salazar, Yuri Lima, Carlos Eduardo Barbosa, Matheus Margarido Argôlo, Alan De Oliveira Lyra, Jano Moreira de Souza

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Games in Technology Forecasting & Foresight: A Rapid Review.

Rafael Machado Andrade, Aline Lima de Souza, Carlos Eduardo Barbosa, Alan De Oliveira Lyra, Herbert Salazar, Yuri Lima, Matheus Margarido Argôlo, Jano Moreira de Souza

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Automatic Transcription Systems: A Game Changer for Court Hearings.

Alan De Oliveira Lyra, Carlos Eduardo Barbosa, Herbert Salazar, Matheus Margarido Argôlo, Yuri Lima, Rebeca Motta, Jano Moreira de Souza

Proceedings of the 16th International Joint Conference on Knowledge Discovery, 2024

2023

A Framework for Assessing Higher Education Courses Employability.

Herbert Salazar Dos Santos, Yuri Oliveira de Lima, Carlos Eduardo Barbosa, Alan De Oliveira Lyra, Matheus Margarido Argôlo, Jano Moreira de Souza

IEEE Access, 2023

Crowdsourced Deals: the Crowd Using Itself to Find and Filter Deals.

Herbert Salazar Dos Santos, Carlos Eduardo Barbosa, Yuri Oliveira de Lima, Alan De Oliveira Lyra, Matheus Margarido Argôlo, Jano Moreira de Souza

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

Providing Patients with Actionable Medical Knowledge: mHealth Apps for Laypeople.

Yuri Oliveira de Lima, Carlos Eduardo Barbosa, Alan De Oliveira Lyra, Herbert Salazar, Matheus Margarido Argôlo, Jano de Souza

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022

Capturing Provenance from Deep Learning Applications Using Keras-Prov and Colab: a Practical Approach.

Débora B. Pina, Liliane N. O. Kunstmann, Felipe Bevilaqua, Isabela Siqueira, Alan De Oliveira Lyra, Daniel de Oliveira, Marta Mattoso

J. Inf. Data Manag., December, 2022

NERMAP: Collaborative Building of Technological Roadmaps Using Named Entity Recognition.

Alan De Oliveira Lyra, Carlos Eduardo Barbosa, Yuri Lima, Herbert Salazar, Jano M. Souza

Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

Analyzing Industry 4.0 trends through the Technology Roadmapping Method.

Leonardo El-Warrak, Mariano Nunes, Alan De Oliveira Lyra, Carlos Eduardo Barbosa, Yuri Lima, Herbert Salazar, Matheus Margarido Argôlo, Jano Moreira de Souza

Proceedings of the 13th International Conference on Ambient Systems, 2022