Andr Luiz Pilastri
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
9
Active years
2016–2025
Best venue rank
C
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICTAI | MedESM: Improving Clinical Note Readability with a Lightweight Structured Summarization Language Model. | Eduardo Dias, Andr Luiz Pilastri, Artur Ferreira, Bruno Lemos, Paulo Cortez |
| 2024 | EPIA | A Data Drift Approach to Update Deployed Energy Prediction Machine Learning Models. | Hlder Teixeira, Arthur Matta, Andr Luiz Pilastri, Lus Ferreira, Pedro Jos Pereira, Carlos Adriano Gonalves, Paulo Cortez |
| 2024 | KES | Ahead of Time Prediction of Decorated Particleboard Production Disruptions and Defects Using Single and Multi-Target AutoML. | Arthur Matta, Lus Miguel Matos, Andr Luiz Pilastri, Jorge Miguel Silva, Miguel Bastos Gomes, Paulo Cortez |
| 2023 | SAC | AI4CITY - An Automated Machine Learning Platform for Smart Cities. | Pedro Jos Pereira, Carlos Gonalves, Lara Lopes Nunes, Paulo Cortez, Andr Luiz Pilastri |
| 2022 | ICAART | A Machine Learning Approach for Spare Parts Lifetime Estimation. | Lusa Macedo, Lus Miguel Matos, Paulo Cortez, Andr Domingues, Guilherme Moreira, Andr Luiz Pilastri |
| 2022 | IJCNN | A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial Sensors. | Cristiana Fernandes, Lus Miguel Matos, Duarte Folgado, Maria Lua Nunes, Joo Rui Pereira, Andr Luiz Pilastri, Paulo Cortez |
| 2022 | IDEAL | An Intelligent Decision Support System for Road Freight Transport. | Hugo Carvalho, Andr Luiz Pilastri, Arthur Matta, Lus Miguel Matos, Rui Novais, Paulo Cortez |
| 2022 | IDEAL | A Sequence to Sequence Long Short-Term Memory Network for Footwear Sales Forecasting. | Lus Santos, Lus Miguel Matos, Lus Ferreira, Pedro Alves, Mrio Viana, Andr Luiz Pilastri, Paulo Cortez |
| 2022 | KES | Predicting Yarn Breaks in Textile Fabrics: A Machine Learning Approach. | Joo Azevedo, Rui Ribeiro, Lus Miguel Matos, Rui Sousa, Joo Paulo Silva, Andr Luiz Pilastri, Paulo Cortez |
| 2022 | SAC | A federated machine learning approach to detect international revenue share fraud on the 5G edge. | Lus Ferreira, Leopoldo Silva, Diana Pinho, Francisco Morais, Carlos Manuel Martins, Pedro Miguel Pires, Pedro Fidalgo, Helena Rodrigues, Paulo Cortez, Andr Luiz Pilastri |
| 2021 | EPIA | A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data. | Pedro Jos Pereira, Adriana Pereira, Paulo Cortez, Andr Luiz Pilastri |
| 2021 | ICCSA | A Comparison of Anomaly Detection Methods for Industrial Screw Tightening. | Diogo Ribeiro, Lus Miguel Matos, Paulo Cortez, Guilherme Moreira, Andr Luiz Pilastri |
| 2021 | IJCNN | A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost. | Lus Ferreira, Andr Luiz Pilastri, Carlos Manuel Martins, Pedro Miguel Pires, Paulo Cortez |
| 2021 | IDEAL | Prediction of Maintenance Equipment Failures Using Automated Machine Learning. | Lus Ferreira, Andr Luiz Pilastri, Vtor Sousa, Filipe Romano, Paulo Cortez |
| 2021 | IDEAL | A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality. | Lus Miguel Matos, Andr Domingues, Guilherme Moreira, Paulo Cortez, Andr Luiz Pilastri |
| 2021 | IDEAL | An Intelligent Decision Support System for Production Planning in Garments Industry. | Rui Ribeiro, Andr Luiz Pilastri, Hugo Carvalho, Arthur Matta, Pedro Jos Pereira, Pedro Rocha, Marcelo Pitanga Alves, Paulo Cortez |
| 2021 | KES | Using Deep Autoencoders for In-vehicle Audio Anomaly Detection. | Pedro Jos Pereira, Gabriel Coelho, Alexandrine Ribeiro, Lus Miguel Matos, Eduardo C. Nunes, Andr L. Ferreira, Andr Luiz Pilastri, Paulo Cortez |
| 2020 | ICAART | An Automated and Distributed Machine Learning Framework for Telecommunications Risk Management. | Lus Ferreira, Andr Luiz Pilastri, Carlos Martins, Pedro Santos, Paulo Cortez |
| 2020 | ICAART | A Scalable and Automated Machine Learning Framework to Support Risk Management. | Lus Ferreira, Andr Luiz Pilastri, Carlos Martins, Pedro Santos, Paulo Cortez |
| 2016 | IV | LibViews - An Information Visualization Application for Third-Party Libraries on Software Projects. | Juliana Cassiano Ferrarezi, Mrio Popolin Neto, Diego Roberto Colombo Dias, Andr Luiz Pilastri, Marcelo de Paiva Guimares, Jos Remo Ferreira Brega |