Pedro José Pereira

18 papers B 1C 1Misc 5Journal 4Unranked 7
YearRankTypeTitle / Venue / Authors
2024 — conf
A Benchmark of Automated Multivariate Time Series Forecasting Tools for Smart Cities.
EPIA (3)
Pedro José Pereira, Nuno Costa, Pedro Mestre, 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
2023 — conf
A Comparison of Automated Machine Learning Tools for Predicting Energy Building Consumption in Smart Cities.
EPIA (1)
Daniela Soares, Pedro José Pereira, Paulo Cortez, Carlos Gonçalves
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 — conf
Predicting Multiple Domain Queue Waiting Time via Machine Learning.
ICCSA (1)
Carolina Loureiro, Pedro José Pereira, Paulo Cortez, Pedro Guimarães, Carlos Moreira, André Pinho
2022 Misc conf
A Comparison of Automated Time Series Forecasting Tools for Smart Cities.
EPIA
Pedro José Pereira, Nuno Costa, Margarida Barros, Paulo Cortez, Dalila Durães, António Silva, José Machado
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
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 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 J jnl
Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction.
Expert Syst. Appl.
Pedro José Pereira, Paulo Cortez, Rui Mendes
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 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 J jnl
Multi-step time series prediction intervals using neuroevolution.
Neural Comput. Appl.
Paulo Cortez, Pedro José Pereira, Rui Mendes
2019 — conf
Using Neuroevolution for Predicting Mobile Marketing Conversion.
EPIA (2)
Pedro José Pereira, Pedro Pinto, Rui Mendes, Paulo Cortez, Antoine Moreau
2018 — conf
A Categorical Clustering of Publishers for Mobile Performance Marketing.
SOCO-CISIS-ICEUTE
Susana Silva, Paulo Cortez, Rui Mendes, Pedro José Pereira, Luís Miguel Matos, Luís Garcia
2017 Misc conf
Multi-objective Learning of Neural Network Time Series Prediction Intervals.
EPIA
Pedro José Pereira, Paulo Cortez, Rui Mendes
2016 — conf
Forecasting Store Foot Traffic Using Facial Recognition, Time Series and Support Vector Machines.
SOCO-CISIS-ICEUTE
Paulo Cortez, Luís Miguel Matos, Pedro José Pereira, Nuno Santos, Duarte Duque