Algoritmi | User | Pedro José Silva Pereira
Pedro José Silva Pereira
Pedro José Silva Pereira
At LASI
Other with MSc
Member of the CALG R&D Unit
Academic Degree
MSc
Current Position
Other at Escola de Engenharia da Universidade do Minho
Personal Webpage
Personal Email
id6927@alunos.uminho.ptOrcid
0000-0002-6169-8778Researcher ID
D-4336-2017FCT Public Key
J679275t6tht
Ciência ID
Google Scholar
Publications (14)
AI4CITY - An Automated Machine Learning Platform for Smart Cities
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
2023 | conference-paper
A Comparison of Automated Time Series Forecasting Tools for Smart Cities
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2022 | book
Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio
Neural Computing and Applications
2022 | journal-article
A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021 | book
An Intelligent Decision Support System for Production Planning in Garments Industry
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021 | book
Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection
IFIP Advances in Information and Communication Technology
2021 | book
Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction
Expert Systems with Applications
2021 | journal-article
Using deep autoencoders for in-vehicle audio anomaly detection
Procedia Computer Science
2021 | conference-paper
Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection In Machine Condition Sounds
arXiv
2020 | other
Multi-step time series prediction intervals using neuroevolution
Neural Computing and Applications
2020 | journal-article
A Categorical Clustering of Publishers for Mobile Performance Marketing
Advances in Intelligent Systems and Computing
2019 | book
Using Neuroevolution for Predicting Mobile Marketing Conversion
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2019 | book
Forecasting store foot traffic using facial recognition, time series and support vector machines
Advances in Intelligent Systems and Computing
2017 | book
Multi-objective learning of neural network time series prediction intervals
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017 | book
AI4CITY - An Automated Machine Learning Platform for Smart Cities
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
2023 | conference-paper
A Comparison of Automated Time Series Forecasting Tools for Smart Cities
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2022 | book
Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio
Neural Computing and Applications
2022 | journal-article
A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021 | book
An Intelligent Decision Support System for Production Planning in Garments Industry
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021 | book
Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection
IFIP Advances in Information and Communication Technology
2021 | book
Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction
Expert Systems with Applications
2021 | journal-article
Using deep autoencoders for in-vehicle audio anomaly detection
Procedia Computer Science
2021 | conference-paper
Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection In Machine Condition Sounds
arXiv
2020 | other
Multi-step time series prediction intervals using neuroevolution
Neural Computing and Applications
2020 | journal-article
A Categorical Clustering of Publishers for Mobile Performance Marketing
Advances in Intelligent Systems and Computing
2019 | book
Using Neuroevolution for Predicting Mobile Marketing Conversion
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2019 | book
Forecasting store foot traffic using facial recognition, time series and support vector machines
Advances in Intelligent Systems and Computing
2017 | book
Multi-objective learning of neural network time series prediction intervals
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017 | book
