Luís Ferreira

According to our database, Luís Ferreira authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

A Data Drift Approach to Update Deployed Energy Prediction Machine Learning Models.

Hélder Teixeira, Arthur Matta, André Luiz Pilastri, Luís Ferreira, Pedro José Pereira, Carlos Gonçalves, Paulo Cortez

Proceedings of the Progress in Artificial Intelligence, 2024

2023

AutoOC: A Python module for automated multi-objective One-Class Classification.

Luís Ferreira, Paulo Cortez

Softw. Impacts, November, 2023

International revenue share fraud prediction on the 5G edge using federated learning.

Luís Ferreira, Leopoldo Silva, Francisco Morais, Carlos Manuel Martins, Pedro Miguel Pires, Helena Rodrigues, Paulo Cortez, André Luiz Pilastri

Computing, September, 2023

AutoOC: Automated multi-objective design of deep autoencoders and one-class classifiers using grammatical evolution.

Luís Ferreira, Paulo Cortez

Appl. Soft Comput., September, 2023

2022

Using supervised and one-class automated machine learning for predictive maintenance.

Luís Ferreira, André Luiz Pilastri, Filipe Romano, Paulo Cortez

Appl. Soft Comput., 2022

A federated machine learning approach to detect international revenue share fraud on the 5G edge.

Luís Ferreira, Leopoldo Silva, Diana Pinho, Francisco Morais, Carlos Manuel Martins, Pedro Miguel Pires, Pedro Fidalgo, Helena Rodrigues, Paulo Cortez, André Luiz Pilastri

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Production Time Prediction for Contract Manufacturing Industries Using Automated Machine Learning.

Afonso Sousa, Luís Ferreira, Rui Ribeiro, João Xavier, André Luiz Pilastri, Paulo Cortez

Proceedings of the Artificial Intelligence Applications and Innovations, 2022

A Sequence to Sequence Long Short-Term Memory Network for Footwear Sales Forecasting.

Luís Santos, Luís Miguel Matos, Luís Ferreira, Pedro Alves, Mário Viana, André Luiz Pilastri, Paulo Cortez

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

2021

A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost.

Luís Ferreira, André Luiz Pilastri, Carlos Manuel Martins, Pedro Miguel Pires, Paulo Cortez

Proceedings of the International Joint Conference on Neural Networks, 2021

Prediction of Maintenance Equipment Failures Using Automated Machine Learning.

Luís Ferreira, André Luiz Pilastri, Vítor Sousa, Filipe Romano, Paulo Cortez

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

2020

A Scalable and Automated Machine Learning Framework to Support Risk Management.

Luís Ferreira, André Luiz Pilastri, Carlos Martins, Pedro Santos, Paulo Cortez

Proceedings of the Agents and Artificial Intelligence, 12th International Conference, 2020

An Automated and Distributed Machine Learning Framework for Telecommunications Risk Management.

Luís Ferreira, André Luiz Pilastri, Carlos Martins, Pedro Santos, Paulo Cortez

Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020