Pedro Jose Silva Pereira

@uminho.pt

Invited Professor @ Department of Information Systems
University of Minho

Pedro Jose Silva Pereira


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https://researchid.co/ppereira

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Information Systems
18

Scopus Publications

238

Scholar Citations

9

Scholar h-index

8

Scholar i10-index

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

  • A Dijkstra Seeded Evolutionary Multiobjective Optimization System for a Sustainable User Multimodal Transport Routing
    G Barbosa, P Pereira, V Abelha, R Mendes, P Cortez
    Proceedings of the Genetic and Evolutionary Computation Conference, 1319-1327 , 2025
    2025
    Citations: 1
  • A Benchmark of Automated Multivariate Time Series Forecasting Tools for Smart Cities
    PJ Pereira, N Costa, P Mestre, P Cortez
    EPIA Conference on Artificial Intelligence, 139-150 , 2024
    2024
  • A Data Drift Approach to Update Deployed Energy Prediction Machine Learning Models
    H Teixeira, A Matta, A Pilastri, L Ferreira, P Pereira, C Gonçalves, ...
    EPIA Conference on Artificial Intelligence, 151-162 , 2024
    2024
  • A comparison of automated machine learning tools for predicting energy building consumption in smart cities
    D Soares, PJ Pereira, P Cortez, C Gonçalves
    EPIA Conference on Artificial Intelligence, 311-322 , 2023
    2023
    Citations: 3
  • Predicting multiple domain queue waiting time via machine learning
    C Loureiro, PJ Pereira, P Cortez, P Guimarães, C Moreira, A Pinho
    International Conference on Computational Science and Its Applications, 404-421 , 2023
    2023
    Citations: 6
  • AI4CITY-an automated machine learning platform for smart cities
    PJ Pereira, C Gonçalves, LL Nunes, P Cortez, A Pilastri
    Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 886-889 , 2023
    2023
    Citations: 5
  • Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio
    G Coelho, LM Matos, PJ Pereira, A Ferreira, A Pilastri, P Cortez
    Neural Computing and Applications 34 (22), 19485-19499 , 2022
    2022
    Citations: 29
  • A comparison of automated time series forecasting tools for smart cities
    PJ Pereira, N Costa, M Barros, P Cortez, D Durães, A Silva, J Machado
    EPIA Conference on Artificial Intelligence, 551-562 , 2022
    2022
    Citations: 9
  • An intelligent decision support system for production planning in garments industry
    R Ribeiro, A Pilastri, H Carvalho, A Matta, PJ Pereira, P Rocha, M Alves, ...
    International Conference on Intelligent Data Engineering and Automated … , 2021
    2021
    Citations: 5
  • A comparison of machine learning methods for extremely unbalanced industrial quality data
    PJ Pereira, A Pereira, P Cortez, A Pilastri
    EPIA Conference on Artificial Intelligence, 561-572 , 2021
    2021
    Citations: 10
  • Deep dense and convolutional autoencoders for machine acoustic anomaly detection
    G Coelho, P Pereira, L Matos, A Ribeiro, EC Nunes, A Ferreira, P Cortez, ...
    IFIP International Conference on Artificial Intelligence Applications and … , 2021
    2021
    Citations: 14
  • Deep dense and convolutional autoencoders for machine acoustic anomaly detection
    G Coelho, P Pereira, L Matos, A Ribeiro, EC Nunes, A Ferreira, P Cortez, ...
    IFIP International Conference on Artificial Intelligence Applications and … , 2021
    2021
  • Multi-objective grammatical evolution of decision trees for mobile marketing user conversion prediction
    PJ Pereira, P Cortez, R Mendes
    Expert Systems with Applications 168, 114287 , 2021
    2021
    Citations: 55
  • Modern Optimization of Predictive Models: An Application to Mobile Performance Marketing
    PJS Pereira
    PQDT-Global , 2021
    2021
    Citations: 2
  • Using deep autoencoders for in-vehicle audio anomaly detection
    PJ Pereira, G Coelho, A Ribeiro, LM Matos, EC Nunes, A Ferreira, ...
    Procedia Computer Science 192, 298-307 , 2021
    2021
    Citations: 30
  • Multi-step time series prediction intervals using neuroevolution
    P Cortez, PJ Pereira, R Mendes
    Neural Computing and Applications, 1-15 , 2020
    2020
    Citations: 24
  • Using neuroevolution for predicting mobile marketing conversion
    PJ Pereira, P Pinto, R Mendes, P Cortez, A Moreau
    EPIA Conference on Artificial Intelligence, 373-384 , 2019
    2019
    Citations: 4
  • A categorical clustering of publishers for mobile performance marketing
    S Silva, P Cortez, R Mendes, PJ Pereira, LM Matos, L Garcia
    The 13th International Conference on Soft Computing Models in Industrial and … , 2018
    2018
    Citations: 10
  • Multi-objective learning of neural network time series prediction intervals
    PJ Pereira, P Cortez, R Mendes
    EPIA Conference on Artificial Intelligence, 561-572 , 2017
    2017
    Citations: 4
  • Forecasting store foot traffic using facial recognition, time series and support vector machines
    P Cortez, LM Matos, PJ Pereira, N Santos, D Duque
    International Workshop on Soft Computing Models in Industrial and … , 2016
    2016
    Citations: 27

MOST CITED SCHOLAR PUBLICATIONS

  • Multi-objective grammatical evolution of decision trees for mobile marketing user conversion prediction
    PJ Pereira, P Cortez, R Mendes
    Expert Systems with Applications 168, 114287 , 2021
    2021
    Citations: 55
  • Using deep autoencoders for in-vehicle audio anomaly detection
    PJ Pereira, G Coelho, A Ribeiro, LM Matos, EC Nunes, A Ferreira, ...
    Procedia Computer Science 192, 298-307 , 2021
    2021
    Citations: 30
  • Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio
    G Coelho, LM Matos, PJ Pereira, A Ferreira, A Pilastri, P Cortez
    Neural Computing and Applications 34 (22), 19485-19499 , 2022
    2022
    Citations: 29
  • Forecasting store foot traffic using facial recognition, time series and support vector machines
    P Cortez, LM Matos, PJ Pereira, N Santos, D Duque
    International Workshop on Soft Computing Models in Industrial and … , 2016
    2016
    Citations: 27
  • Multi-step time series prediction intervals using neuroevolution
    P Cortez, PJ Pereira, R Mendes
    Neural Computing and Applications, 1-15 , 2020
    2020
    Citations: 24
  • Deep dense and convolutional autoencoders for machine acoustic anomaly detection
    G Coelho, P Pereira, L Matos, A Ribeiro, EC Nunes, A Ferreira, P Cortez, ...
    IFIP International Conference on Artificial Intelligence Applications and … , 2021
    2021
    Citations: 14
  • A comparison of machine learning methods for extremely unbalanced industrial quality data
    PJ Pereira, A Pereira, P Cortez, A Pilastri
    EPIA Conference on Artificial Intelligence, 561-572 , 2021
    2021
    Citations: 10
  • A categorical clustering of publishers for mobile performance marketing
    S Silva, P Cortez, R Mendes, PJ Pereira, LM Matos, L Garcia
    The 13th International Conference on Soft Computing Models in Industrial and … , 2018
    2018
    Citations: 10
  • A comparison of automated time series forecasting tools for smart cities
    PJ Pereira, N Costa, M Barros, P Cortez, D Durães, A Silva, J Machado
    EPIA Conference on Artificial Intelligence, 551-562 , 2022
    2022
    Citations: 9
  • Predicting multiple domain queue waiting time via machine learning
    C Loureiro, PJ Pereira, P Cortez, P Guimarães, C Moreira, A Pinho
    International Conference on Computational Science and Its Applications, 404-421 , 2023
    2023
    Citations: 6
  • AI4CITY-an automated machine learning platform for smart cities
    PJ Pereira, C Gonçalves, LL Nunes, P Cortez, A Pilastri
    Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 886-889 , 2023
    2023
    Citations: 5
  • An intelligent decision support system for production planning in garments industry
    R Ribeiro, A Pilastri, H Carvalho, A Matta, PJ Pereira, P Rocha, M Alves, ...
    International Conference on Intelligent Data Engineering and Automated … , 2021
    2021
    Citations: 5
  • Using neuroevolution for predicting mobile marketing conversion
    PJ Pereira, P Pinto, R Mendes, P Cortez, A Moreau
    EPIA Conference on Artificial Intelligence, 373-384 , 2019
    2019
    Citations: 4
  • Multi-objective learning of neural network time series prediction intervals
    PJ Pereira, P Cortez, R Mendes
    EPIA Conference on Artificial Intelligence, 561-572 , 2017
    2017
    Citations: 4
  • A comparison of automated machine learning tools for predicting energy building consumption in smart cities
    D Soares, PJ Pereira, P Cortez, C Gonçalves
    EPIA Conference on Artificial Intelligence, 311-322 , 2023
    2023
    Citations: 3
  • Modern Optimization of Predictive Models: An Application to Mobile Performance Marketing
    PJS Pereira
    PQDT-Global , 2021
    2021
    Citations: 2
  • A Dijkstra Seeded Evolutionary Multiobjective Optimization System for a Sustainable User Multimodal Transport Routing
    G Barbosa, P Pereira, V Abelha, R Mendes, P Cortez
    Proceedings of the Genetic and Evolutionary Computation Conference, 1319-1327 , 2025
    2025
    Citations: 1
  • A Benchmark of Automated Multivariate Time Series Forecasting Tools for Smart Cities
    PJ Pereira, N Costa, P Mestre, P Cortez
    EPIA Conference on Artificial Intelligence, 139-150 , 2024
    2024
  • A Data Drift Approach to Update Deployed Energy Prediction Machine Learning Models
    H Teixeira, A Matta, A Pilastri, L Ferreira, P Pereira, C Gonçalves, ...
    EPIA Conference on Artificial Intelligence, 151-162 , 2024
    2024
  • Deep dense and convolutional autoencoders for machine acoustic anomaly detection
    G Coelho, P Pereira, L Matos, A Ribeiro, EC Nunes, A Ferreira, P Cortez, ...
    IFIP International Conference on Artificial Intelligence Applications and … , 2021
    2021