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.pt

Orcid

0000-0002-6169-8778

Researcher ID

D-4336-2017

FCT Public Key

J679275t6tht

Ciência ID

Google Scholar

About Me



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 Machine Learning Tools for Predicting Energy Building Consumption in Smart Cities

Progress in Artificial Intelligence

2023 | conference-paper

Predicting Multiple Domain Queue Waiting Time via Machine Learning

Computational Science and Its Applications – ICCSA 2023

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 Machine Learning Tools for Predicting Energy Building Consumption in Smart Cities

Progress in Artificial Intelligence

2023 | conference-paper

Predicting Multiple Domain Queue Waiting Time via Machine Learning

Computational Science and Its Applications – ICCSA 2023

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

This user account status is Approved