Pedro José Pereira

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 15

Top Topics

Anomaly Detection

Top Venues

SOCO-CISIS-ICEUTE

Neural Comput. Appl.

Publications

Pedro José Pereira, Carlos Gonçalves, Lara Lopes Nunes, Paulo Cortez, André Luiz Pilastri
AI4CITY - An Automated Machine Learning Platform for Smart Cities. SAC (2023)
Carolina Loureiro, Pedro José Pereira, Paulo Cortez, Pedro Guimarães, Carlos Moreira, André Pinho
Predicting Multiple Domain Queue Waiting Time via Machine Learning. ICCSA (1) (2023)
Daniela Soares, Pedro José Pereira, Paulo Cortez, Carlos Gonçalves
A Comparison of Automated Machine Learning Tools for Predicting Energy Building Consumption in Smart Cities. EPIA (1) (2023)
Pedro José Pereira, Nuno Costa, Margarida Barros, Paulo Cortez, Dalila Durães, António Silva, José Machado
A Comparison of Automated Time Series Forecasting Tools for Smart Cities. EPIA (2022)
Gabriel Coelho, Luís Miguel Matos, Pedro José Pereira, André L. Ferreira, André Luiz Pilastri, Paulo Cortez
Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio. Neural Comput. Appl. 34 (22) (2022)
Pedro José Pereira, Adriana Pereira, Paulo Cortez, André Luiz Pilastri
A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data. EPIA (2021)
Pedro José Pereira, Paulo Cortez, Rui Mendes
Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction. Expert Syst. Appl. 168 (2021)
Pedro José Pereira, Gabriel Coelho, Alexandrine Ribeiro, Luís Miguel Matos, Eduardo C. Nunes, André L. Ferreira, André Luiz Pilastri, Paulo Cortez
Using Deep Autoencoders for In-vehicle Audio Anomaly Detection. KES (2021)
Rui Ribeiro, André Luiz Pilastri, Hugo Carvalho, Arthur Matta, Pedro José Pereira, Pedro Rocha, Marcelo Alves, Paulo Cortez
An Intelligent Decision Support System for Production Planning in Garments Industry. IDEAL (2021)
Alexandrine Ribeiro, Luís Miguel Matos, Pedro José Pereira, Eduardo C. Nunes, André L. Ferreira, Paulo Cortez, André Luiz Pilastri
Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition Sounds. CoRR (2020)
Paulo Cortez, Pedro José Pereira, Rui Mendes
Multi-step time series prediction intervals using neuroevolution. Neural Comput. Appl. 32 (13) (2020)
Pedro José Pereira, Pedro Pinto, Rui Mendes, Paulo Cortez, Antoine Moreau
Using Neuroevolution for Predicting Mobile Marketing Conversion. EPIA (2) (2019)
Susana Silva, Paulo Cortez, Rui Mendes, Pedro José Pereira, Luís Miguel Matos, Luís Garcia
A Categorical Clustering of Publishers for Mobile Performance Marketing. SOCO-CISIS-ICEUTE (2018)
Pedro José Pereira, Paulo Cortez, Rui Mendes
Multi-objective Learning of Neural Network Time Series Prediction Intervals. EPIA (2017)
Paulo Cortez, Luís Miguel Matos, Pedro José Pereira, Nuno Santos, Duarte Duque
Forecasting Store Foot Traffic Using Facial Recognition, Time Series and Support Vector Machines. SOCO-CISIS-ICEUTE (2016)