Paulo Alexandre Ribeiro Cortez
AuthID: R-000-E9X
21
TITLE: AutoOC: A Python module for automated multi-objective One-Class Classification[Formula presented]
AUTHORS: Luís Ferreira; Paulo Cortez;
PUBLISHED: 2023, SOURCE: Software Impacts, VOLUME: 18
AUTHORS: Luís Ferreira; Paulo Cortez;
PUBLISHED: 2023, SOURCE: Software Impacts, VOLUME: 18
INDEXED IN: 
Scopus
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ORCID
ORCID22
TITLE: AutoOC: A Python module for automated multi-objective One-Class Classification
AUTHORS: Ferreira, Luis; Cortez, Paulo;
PUBLISHED: 2023, SOURCE: SOFTWARE IMPACTS, VOLUME: 18
AUTHORS: Ferreira, Luis; Cortez, Paulo;
PUBLISHED: 2023, SOURCE: SOFTWARE IMPACTS, VOLUME: 18
23
TITLE: A Comparison of Automated Machine Learning Tools for Predicting Energy Building Consumption in Smart Cities
AUTHORS: Soares, Daniela; Pereira, Pedro Jose; Cortez, Paulo; Goncalves, Carlos ;
PUBLISHED: 2023, SOURCE: 22nd EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2023, PT I, VOLUME: 14115
AUTHORS: Soares, Daniela; Pereira, Pedro Jose; Cortez, Paulo; Goncalves, Carlos ;
PUBLISHED: 2023, SOURCE: 22nd EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2023, PT I, VOLUME: 14115
24
TITLE: Restaurant containment measures and perceived service quality: implications for future pandemics
AUTHORS: Paulo Ribeiro; Ricardo Ramos; Sérgio Moro;
PUBLISHED: 2023, SOURCE: Consumer Behavior in Tourism and Hospitality
AUTHORS: Paulo Ribeiro; Ricardo Ramos; Sérgio Moro;
PUBLISHED: 2023, SOURCE: Consumer Behavior in Tourism and Hospitality
INDEXED IN: Scopus
Scopus25
TITLE: Preface
AUTHORS: Ilias Maglogiannis; Lazaros Iliadis; John Macintyre; Paulo Cortez;
PUBLISHED: 2023, SOURCE: IFIP Advances in Information and Communication Technology, VOLUME: 676 IFIP
AUTHORS: Ilias Maglogiannis; Lazaros Iliadis; John Macintyre; Paulo Cortez;
PUBLISHED: 2023, SOURCE: IFIP Advances in Information and Communication Technology, VOLUME: 676 IFIP
INDEXED IN: Scopus
Scopus IN MY: ORCID
ORCID26
TITLE: Isolation Forests and Deep Autoencoders for Industrial Screw Tightening Anomaly Detection
AUTHORS: Ribeiro, Diogo; Matos, Luis Miguel; Moreira, Guilherme; Pilastri, Andre; Cortez, Paulo;
PUBLISHED: 2022, SOURCE: COMPUTERS, VOLUME: 11, ISSUE: 4
AUTHORS: Ribeiro, Diogo; Matos, Luis Miguel; Moreira, Guilherme; Pilastri, Andre; Cortez, Paulo;
PUBLISHED: 2022, SOURCE: COMPUTERS, VOLUME: 11, ISSUE: 4
27
TITLE: A Federated Machine Learning Approach to Detect International Revenue Share Fraud on the 5G Edge
AUTHORS: Ferreira, Luis; Silva, Leopoldo; Pinho, Diana; Morais, Francisco; Martins, Carlos Manuel; Pires, Pedro Miguel; Fidalgo, Pedro; Rodrigues, Helena; Cortez, Paulo; Pilastri, Andre;
PUBLISHED: 2022, SOURCE: 37th Annual ACM Symposium on Applied Computing in 37TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING
AUTHORS: Ferreira, Luis; Silva, Leopoldo; Pinho, Diana; Morais, Francisco; Martins, Carlos Manuel; Pires, Pedro Miguel; Fidalgo, Pedro; Rodrigues, Helena; Cortez, Paulo; Pilastri, Andre;
PUBLISHED: 2022, SOURCE: 37th Annual ACM Symposium on Applied Computing in 37TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING
28
TITLE: Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio
AUTHORS: Coelho, Gabriel; Matos, Luis Miguel; Pereira, Pedro Jose; Ferreira, Andre; Pilastri, Andre; Cortez, Paulo;
PUBLISHED: 2022, SOURCE: NEURAL COMPUTING & APPLICATIONS, VOLUME: 34, ISSUE: 22
AUTHORS: Coelho, Gabriel; Matos, Luis Miguel; Pereira, Pedro Jose; Ferreira, Andre; Pilastri, Andre; Cortez, Paulo;
PUBLISHED: 2022, SOURCE: NEURAL COMPUTING & APPLICATIONS, VOLUME: 34, ISSUE: 22
29
TITLE: Bosch’s Industry 4.0 Advanced Data Analytics: Historical and Predictive Data Integration for Decision Support
AUTHORS: Galvão, J; Ribeiro, D; Machado, I; Ferreira, F; Gonçalves, J; Faria, R; Moreira, G; Costa, C; Cortez, P; Santos, MY;
PUBLISHED: 2022, SOURCE: 16th International Conference on Research Challenges in Information Science, RCIS 2022 in Lecture Notes in Business Information Processing, VOLUME: 446 LNBIP
AUTHORS: Galvão, J; Ribeiro, D; Machado, I; Ferreira, F; Gonçalves, J; Faria, R; Moreira, G; Costa, C; Cortez, P; Santos, MY;
PUBLISHED: 2022, SOURCE: 16th International Conference on Research Challenges in Information Science, RCIS 2022 in Lecture Notes in Business Information Processing, VOLUME: 446 LNBIP
30
TITLE: An Empirical Study on Anomaly Detection Algorithms for Extremely Imbalanced Datasets
AUTHORS: Fontes, Goncalo; Matos, Luis Miguel; Matta, Arthur; Pilastri, Andre; Cortez, Paulo;
PUBLISHED: 2022, SOURCE: 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI) in ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, AIAI 2022, PART I, VOLUME: 646
AUTHORS: Fontes, Goncalo; Matos, Luis Miguel; Matta, Arthur; Pilastri, Andre; Cortez, Paulo;
PUBLISHED: 2022, SOURCE: 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI) in ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, AIAI 2022, PART I, VOLUME: 646
