Pedro José Pereira

According to our database, Pedro José Pereira authored at least 16 papers between 2016 and 2023.

Collaborative distances:

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

2023

AI4CITY - An Automated Machine Learning Platform for Smart Cities.

Pedro José Pereira, Carlos Gonçalves, Lara Lopes Nunes, Paulo Cortez, André Luiz Pilastri

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Predicting Multiple Domain Queue Waiting Time via Machine Learning.

Carolina Loureiro, Pedro José Pereira, Paulo Cortez, Pedro Guimarães, Carlos Moreira, André Pinho

Proceedings of the Computational Science and Its Applications - ICCSA 2023, 2023

A Comparison of Automated Machine Learning Tools for Predicting Energy Building Consumption in Smart Cities.

Daniela Soares, Pedro José Pereira, Paulo Cortez, Carlos Gonçalves

Proceedings of the Progress in Artificial Intelligence, 2023

2022

Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio.

Gabriel Coelho, Luís Miguel Matos, Pedro José Pereira, André L. Ferreira, André Luiz Pilastri, Paulo Cortez

Neural Comput. Appl., 2022

A Comparison of Automated Time Series Forecasting Tools for Smart Cities.

Pedro José Pereira, Nuno Costa, Margarida Barros, Paulo Cortez, Dalila Durães, António Silva, José Machado

Proceedings of the Progress in Artificial Intelligence, 2022

2021

Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction.

Pedro José Pereira, Paulo Cortez, Rui Mendes

Expert Syst. Appl., 2021

Using Deep Autoencoders for In-vehicle Audio Anomaly Detection.

Pedro José Pereira, Gabriel Coelho, Alexandrine Ribeiro, Luís Miguel Matos, Eduardo C. Nunes, André L. Ferreira, André Luiz Pilastri, Paulo Cortez

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection.

Gabriel Coelho, Pedro José Pereira, Luís Miguel Matos, Alexandrine Ribeiro, Eduardo C. Nunes, André L. Ferreira, Paulo Cortez, André Luiz Pilastri

Proceedings of the Artificial Intelligence Applications and Innovations, 2021

An Intelligent Decision Support System for Production Planning in Garments Industry.

Rui Ribeiro, André Luiz Pilastri, Hugo Carvalho, Arthur Matta, Pedro José Pereira, Pedro Rocha, Marcelo Pitanga Alves, Paulo Cortez

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

A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data.

Pedro José Pereira, Adriana Pereira, Paulo Cortez, André Luiz Pilastri

Proceedings of the Progress in Artificial Intelligence, 2021

2020

Multi-step time series prediction intervals using neuroevolution.

Paulo Cortez, Pedro José Pereira, Rui Mendes

Neural Comput. Appl., 2020

Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition Sounds.

Alexandrine Ribeiro, Luís Miguel Matos, Pedro José Pereira, Eduardo C. Nunes, André L. Ferreira, Paulo Cortez, André Luiz Pilastri

CoRR, 2020

2019

Using Neuroevolution for Predicting Mobile Marketing Conversion.

Pedro José Pereira, Pedro Pinto, Rui Mendes, Paulo Cortez, Antoine Moreau

Proceedings of the Progress in Artificial Intelligence, 2019

2018

A Categorical Clustering of Publishers for Mobile Performance Marketing.

Susana Silva, Paulo Cortez, Rui Mendes, Pedro José Pereira, Luís Miguel Matos, Luís Garcia

Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

2017

Multi-objective Learning of Neural Network Time Series Prediction Intervals.

Pedro José Pereira, Paulo Cortez, Rui Mendes

Proceedings of the Progress in Artificial Intelligence, 2017

2016

Forecasting Store Foot Traffic Using Facial Recognition, Time Series and Support Vector Machines.

Paulo Cortez, Luís Miguel Matos, Pedro José Pereira, Nuno Santos, Duarte Duque

Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016