Algoritmi | User | Pedro José Silva Pereira
Pedro José Silva Pereira
Pedro José Silva Pereira
At Algoritmi
Academic Degree
PhD
Current Position
Invited Assistant Professor at Escola de Engenharia da Universidade do Minho
Personal Webpage
https://pjp.dsi.uminho.pt/Personal Email
id6927@alunos.uminho.ptOrcid
0000-0002-6169-8778Researcher ID
D-4336-2017FCT Public Key
J679275t6tht
Ciência ID
861C-FF53-609BGoogle Scholar
TUDKBfEAAAAJh-index
Publications
Editorial
0Citations
Q1 / Q2
0Publications (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
History
| Init | End | Change | Value | |
|---|---|---|---|---|
| 1970-01-01 | 1288-01-17 14:43:34 | |||
| 17/01/2023 20:17 | ||||
| https://scholar.google.pt/citations?hl=pt-PT&user=TUDKBfEAAAAJ | ||||
| 1376-01-17 14:43:34 | ||||
| Member Type | Assistant Researcher | |||
| 1288-03-02 10:57:02 | ||||
| 02/03/2023 20:21 | ||||
| PhD Student | ||||
| 1376-03-02 10:57:02 | ||||
| Internal Member Type |
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
| Start | End | Term | Value | |
|---|---|---|---|---|
| 1288-01-17 14:43:34 | ||||
| 17/01/2023 20:17 | ||||
| https://scholar.google.pt/citations?hl=pt-PT&user=TUDKBfEAAAAJ | ||||
| 1376-01-17 14:43:34 | ||||
| Member Type | Assistant Researcher | |||
| 1288-03-02 10:57:02 | ||||
| 02/03/2023 20:21 | ||||
| PhD Student | ||||
| 1376-03-02 10:57:02 | ||||
| Internal Member Type |
