Pedro José Pereira

Orcid: 0000-0002-6169-8778

According to our database1, Pedro José Pereira authored at least 16 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
AI4CITY - An Automated Machine Learning Platform for Smart Cities.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Predicting Multiple Domain Queue Waiting Time via Machine Learning.
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.
Proceedings of the Progress in Artificial Intelligence, 2023

2022
Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio.
Neural Comput. Appl., 2022

A Comparison of Automated Time Series Forecasting Tools for Smart Cities.
Proceedings of the Progress in Artificial Intelligence, 2022

2021
Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction.
Expert Syst. Appl., 2021

Using Deep Autoencoders for In-vehicle Audio Anomaly Detection.
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.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021

An Intelligent Decision Support System for Production Planning in Garments Industry.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data.
Proceedings of the Progress in Artificial Intelligence, 2021

2020
Multi-step time series prediction intervals using neuroevolution.
Neural Comput. Appl., 2020

Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition Sounds.
CoRR, 2020

2019
Using Neuroevolution for Predicting Mobile Marketing Conversion.
Proceedings of the Progress in Artificial Intelligence, 2019

2018
A Categorical Clustering of Publishers for Mobile Performance Marketing.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

2017
Multi-objective Learning of Neural Network Time Series Prediction Intervals.
Proceedings of the Progress in Artificial Intelligence, 2017

2016
Forecasting Store Foot Traffic Using Facial Recognition, Time Series and Support Vector Machines.
Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016


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