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
About Me 
Pedro Pereira is a senior researcher in the field of Artificial Intelligence at the CCG/ZGDV Institute and holds the position of Invited Assistant Professor at the Department of Information Systems at the University of Minho, where he has been teaching since 2018. He successfully completed his Ph.D. in Technologies and Information Systems at the same university in 2021, specializing in Machine Learning and Evolutionary Computation. Engaged in various Research and Development (R&D) projects since 2017, he has coauthored over a dozen scientific publications presented at international conferences and journals, in addition to contributing to the development of the Python module evoltree. Currently, he also co-supervises master’s students in their thesis work and their involvement in R&D projects.
Publications (24)
A Dijkstra Seeded Evolutionary Multiobjective Optimization System for a Sustainable User Multimodal Transport Routing
ACM Genetic and Evolutionary Computation Conference (GECCO 2025)
2025 | conference-paper
Vision Paper Integrating Hybrid Intelligence for Improved User Acceptance in Smart Mobility Systems
2025 | working-paper
A Benchmark of Automated Multivariate Time Series Forecasting Tools for Smart Cities
2025 | conference-paper
A Data Drift Approach to Update Deployed Energy Prediction Machine Learning Models
2025 | conference-paper
A Inteligência Artificial para além dos “ChatGPTs”
2024 | website
Potencialidades da Inteligência Artificial Para o Suporte à Decisão
Seminário SOL - país positivo
2024 | magazine-article
AI4CITY - An Automated Machine Learning Platform for Smart Cities
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
2023 | conference-paper
Smart Cities: A Inteligência Urbana na resposta às emergências
Smart Cities
2023 | magazine-article
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
Modern optimization of predictive models: a case study in mobile performance marketing
Universidade do Minho Centro ALGORITMI
2021 | dissertation-thesis
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
A Dijkstra Seeded Evolutionary Multiobjective Optimization System for a Sustainable User Multimodal Transport Routing
ACM Genetic and Evolutionary Computation Conference (GECCO 2025)
2025 | conference-paper
Vision Paper Integrating Hybrid Intelligence for Improved User Acceptance in Smart Mobility Systems
2025 | working-paper
A Benchmark of Automated Multivariate Time Series Forecasting Tools for Smart Cities
2025 | conference-paper
A Data Drift Approach to Update Deployed Energy Prediction Machine Learning Models
2025 | conference-paper
A Inteligência Artificial para além dos “ChatGPTs”
2024 | website
Potencialidades da Inteligência Artificial Para o Suporte à Decisão
Seminário SOL - país positivo
2024 | magazine-article
AI4CITY - An Automated Machine Learning Platform for Smart Cities
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
2023 | conference-paper
Smart Cities: A Inteligência Urbana na resposta às emergências
Smart Cities
2023 | magazine-article
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
Modern optimization of predictive models: a case study in mobile performance marketing
Universidade do Minho Centro ALGORITMI
2021 | dissertation-thesis
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
