Algoritmi | User | Pedro José Silva Pereira

Pedro José Silva Pereira

Pedro José Silva Pereira

At Algoritmi

Researcher with PhD

Member of the IST R&D Group

Member of the IDS R&D Lab

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.pt

Orcid

0000-0002-6169-8778

Researcher ID

D-4336-2017

FCT Public Key

J679275t6tht

Ciência ID

861C-FF53-609B

Google Scholar

TUDKBfEAAAAJ

h-index

Publications

Editorial

0

Citations

Q1 / Q2

0

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

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
This user account status is Approved