André Luiz Pilastri

40 papers B 6C 6Misc 4Journal 12Unranked 12
YearRankTypeTitle / Venue / Authors
2025 B conf
MedESM: Improving Clinical Note Readability with a Lightweight Structured Summarization Language Model.
ICTAI
Eduardo Dias, André Luiz Pilastri, Artur Ferreira, Bruno Lemos, Paulo Cortez
2025 J jnl
Screw Process Anomaly Visualization (SPAV): A Python module for local and global machine learning visualizations for screw tightening anomaly detection.
Softw. Impacts
Marta Moreno, Hugo Rocha, André Luiz Pilastri, Guilherme Moreira, Luís Miguel Matos, Paulo Cortez
2024 — conf
A Data Drift Approach to Update Deployed Energy Prediction Machine Learning Models.
EPIA (3)
Hélder Teixeira, Arthur Matta, André Luiz Pilastri, Luís Ferreira, Pedro José Pereira, Carlos Gonçalves, Paulo Cortez
2024 B conf
Ahead of Time Prediction of Decorated Particleboard Production Disruptions and Defects Using Single and Multi-Target AutoML.
KES
Arthur Matta, Luís Miguel Matos, André Luiz Pilastri, Jorge Miguel Silva, Miguel Bastos Gomes, Paulo Cortez
2024 J jnl
Proactive prevention of work-related musculoskeletal disorders using a motion capture system and time series machine learning.
Eng. Appl. Artif. Intell.
Luís Miguel Matos, Paula Dias, Arthur Matta, Dário Machado, Rosane Sampaio, André Luiz Pilastri, Paulo Cortez
2023 J jnl
A data-driven intelligent decision support system that combines predictive and prescriptive analytics for the design of new textile fabrics.
Neural Comput. Appl.
Rui Ribeiro, André Luiz Pilastri, Carla Moura, José Morgado, Paulo Cortez
2023 Misc conf
AI4CITY - An Automated Machine Learning Platform for Smart Cities.
SAC
Pedro José Pereira, Carlos Gonçalves, Lara Lopes Nunes, Paulo Cortez, André Luiz Pilastri
2023 J jnl
International revenue share fraud prediction on the 5G edge using federated learning.
Computing
Luís Ferreira, Leopoldo Silva, Francisco Morais, Carlos Manuel Martins, Pedro Miguel Pires, Helena Rodrigues, Paulo Cortez, André Luiz Pilastri
2023 — conf
Machine Learning for Predicting Production Disruptions in the Wood-Based Panels Industry: A Demonstration Case.
AIAI (2)
Cláudia Afonso, Arthur Matta, Luís Miguel Matos, Miguel Bastos Gomes, Antonina Santos, André Luiz Pilastri, Paulo Cortez
2023 J jnl
RTSIMU: Real-Time Simulation tool for IMU sensors.
Softw. Impacts
Paula Dias, Arthur Matta, André Luiz Pilastri, Luís Miguel Matos, Paulo Cortez
2022 B conf
A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial Sensors.
IJCNN
Cristiana Fernandes, Luís Miguel Matos, Duarte Folgado, Maria Lua Nunes, João Rui Pereira, André Luiz Pilastri, Paulo Cortez
2022 — conf
A Machine Learning Approach for Spare Parts Lifetime Estimation.
ICAART (3)
Luísa Macedo, Luís Miguel Matos, Paulo Cortez, André Domingues, Guilherme Moreira, André Luiz Pilastri
2022 C conf
A Sequence to Sequence Long Short-Term Memory Network for Footwear Sales Forecasting.
IDEAL
Luís Santos, Luís Miguel Matos, Luís Ferreira, Pedro Alves, Mário Viana, André Luiz Pilastri, Paulo Cortez
2022 Misc conf
A federated machine learning approach to detect international revenue share fraud on the 5G edge.
SAC
Luís Ferreira, Leopoldo Silva, Diana Pinho, Francisco Morais, Carlos Manuel Martins, Pedro Miguel Pires, Pedro Fidalgo, Helena Rodrigues, Paulo Cortez, André Luiz Pilastri
2022 — conf
An Empirical Study on Anomaly Detection Algorithms for Extremely Imbalanced Datasets.
AIAI (1)
Gonçalo Fontes, Luís Miguel Matos, Arthur Matta, André Luiz Pilastri, Paulo Cortez
2022 C conf
An Intelligent Decision Support System for Road Freight Transport.
IDEAL
Hugo Carvalho, André Luiz Pilastri, Arthur Matta, Luís Miguel Matos, Rui Novais, Paulo Cortez
2022 J jnl
Categorical Attribute traNsformation Environment (CANE): A python module for categorical to numeric data preprocessing.
Softw. Impacts
Luís Miguel Matos, João Azevedo, Arthur Matta, André Luiz Pilastri, Paulo Cortez, Rui Mendes
2022 J jnl
Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio.
Neural Comput. Appl.
Gabriel Coelho, Luís Miguel Matos, Pedro José Pereira, André L. Ferreira, André Luiz Pilastri, Paulo Cortez
2022 J jnl
Isolation Forests and Deep Autoencoders for Industrial Screw Tightening Anomaly Detection.
Comput.
Diogo Ribeiro, Luís Miguel Matos, Guilherme Moreira, André Luiz Pilastri, Paulo Cortez
2022 B conf
Predicting Yarn Breaks in Textile Fabrics: A Machine Learning Approach.
KES
João Azevedo, Rui Ribeiro, Luís Miguel Matos, Rui Sousa, João Paulo Silva, André Luiz Pilastri, Paulo Cortez
2022 — conf
Production Time Prediction for Contract Manufacturing Industries Using Automated Machine Learning.
AIAI (2)
Afonso Sousa, Luís Ferreira, Rui Ribeiro, João Xavier, André Luiz Pilastri, Paulo Cortez
2022 J jnl
RanCoord - A random geographic coordinates generator for transport and logistics research and development activities.
Softw. Impacts
Hugo Carvalho, André Luiz Pilastri, Rui Novais, Paulo Cortez
2022 J jnl
Using supervised and one-class automated machine learning for predictive maintenance.
Appl. Soft Comput.
Luís Ferreira, André Luiz Pilastri, Filipe Romano, Paulo Cortez
2021 — conf
A Comparison of Anomaly Detection Methods for Industrial Screw Tightening.
ICCSA (2)
Diogo Ribeiro, Luís Miguel Matos, Paulo Cortez, Guilherme Moreira, André Luiz Pilastri
2021 B conf
A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost.
IJCNN
Luís Ferreira, André Luiz Pilastri, Carlos Manuel Martins, Pedro Miguel Pires, Paulo Cortez
2021 C conf
A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality.
IDEAL
Luís Miguel Matos, André Domingues, Guilherme Moreira, Paulo Cortez, André Luiz Pilastri
2021 Misc conf
A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data.
EPIA
Pedro José Pereira, Adriana Pereira, Paulo Cortez, André Luiz Pilastri
2021 C conf
An Intelligent Decision Support System for Production Planning in Garments Industry.
IDEAL
Rui Ribeiro, André Luiz Pilastri, Hugo Carvalho, Arthur Matta, Pedro José Pereira, Pedro Rocha, Marcelo Pitanga Alves, Paulo Cortez
2021 J jnl
Business analytics in Industry 4.0: A systematic review.
Expert Syst. J. Knowl. Eng.
António João Silva, Paulo Cortez, Carlos Pereira, André Luiz Pilastri
2021 Misc conf
Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection.
AIAI
Gabriel Coelho, Pedro José Pereira, Luís Miguel Matos, Alexandrine Ribeiro, Eduardo C. Nunes, André L. Ferreira, Paulo Cortez, André Luiz Pilastri
2021 C conf
Prediction of Maintenance Equipment Failures Using Automated Machine Learning.
IDEAL
Luís Ferreira, André Luiz Pilastri, Vítor Sousa, Filipe Romano, Paulo Cortez
2021 B conf
Using Deep Autoencoders for In-vehicle Audio Anomaly Detection.
KES
Pedro José Pereira, Gabriel Coelho, Alexandrine Ribeiro, Luís Miguel Matos, Eduardo C. Nunes, André L. Ferreira, André Luiz Pilastri, Paulo Cortez
2020 — conf
A Scalable and Automated Machine Learning Framework to Support Risk Management.
ICAART (Revised Selected Papers)
Luís Ferreira, André Luiz Pilastri, Carlos Martins, Pedro Santos, Paulo Cortez
2020 — conf
An Automated and Distributed Machine Learning Framework for Telecommunications Risk Management.
ICAART (2)
Luís Ferreira, André Luiz Pilastri, Carlos Martins, Pedro Santos, Paulo Cortez
2020 — conf
Chemical Laboratories 4.0: A Two-Stage Machine Learning System for Predicting the Arrival of Samples.
AIAI (2)
António João Silva, Paulo Cortez, André Luiz Pilastri
2020 J jnl
Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition Sounds.
CoRR
Alexandrine Ribeiro, Luís Miguel Matos, Pedro José Pereira, Eduardo C. Nunes, André L. Ferreira, Paulo Cortez, André Luiz Pilastri
2020 — conf
Predicting Physical Properties of Woven Fabrics via Automated Machine Learning and Textile Design and Finishing Features.
AIAI (2)
Rui Ribeiro, André Luiz Pilastri, Carla Moura, Filipe Rodrigues, Rita Rocha, José Morgado, Paulo Cortez
2020 — conf
Predicting the Tear Strength of Woven Fabrics Via Automated Machine Learning: An Application of the CRISP-DM Methodology.
ICEIS (1)
Rui Ribeiro, André Luiz Pilastri, Carla Moura, Filipe Rodrigues, Rita Rocha, Paulo Cortez
2016 C conf
LibViews - An Information Visualization Application for Third-Party Libraries on Software Projects.
IV
Juliana Cassiano Ferrarezi, Mário Popolin Neto, Diego Roberto Colombo Dias, André Luiz Pilastri, Marcelo de Paiva Guimarães, José Remo Ferreira Brega
2014 — conf
Learning Kernels for Support Vector Machines with Polynomial Powers of Sigmoid.
SIBGRAPI
Silas Evandro Nachif Fernandes, André Luiz Pilastri, Luís A. M. Pereira, Rafael Goncalves Pires, João Paulo Papa