Luís Miguel de Oliveira Matos
AuthID: R-000-WMZ
1
TITLE: RTSIMU: Real-Time Simulation tool for IMU sensors
AUTHORS: Dias, Paula; Matta, Arthur; Pilastri, Andre; Matos, Luis Miguel; Cortez, Paulo;
PUBLISHED: 2023, SOURCE: SOFTWARE IMPACTS, VOLUME: 17
AUTHORS: Dias, Paula; Matta, Arthur; Pilastri, Andre; Matos, Luis Miguel; Cortez, Paulo;
PUBLISHED: 2023, SOURCE: SOFTWARE IMPACTS, VOLUME: 17
INDEXED IN: 
WOS
WOS2
TITLE: A Machine Learning Approach for Spare Parts Lifetime Estimation
AUTHORS: Macedo, Luisa; Matos, Luis Miguel; Cortez, Paulo; Domingues, Andre; Moreira, Guilherme; Pilastri, Andre;
PUBLISHED: 2022, SOURCE: 14th International Conference on Agents and Artificial Intelligence (ICAART) in ICAART: PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 3
AUTHORS: Macedo, Luisa; Matos, Luis Miguel; Cortez, Paulo; Domingues, Andre; Moreira, Guilherme; Pilastri, Andre;
PUBLISHED: 2022, SOURCE: 14th International Conference on Agents and Artificial Intelligence (ICAART) in ICAART: PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 3
INDEXED IN: WOS
WOS3
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
INDEXED IN: 
Scopus WOS
Scopus WOS4
TITLE: Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio Full Text
AUTHORS: Coelho, Gabriel; Matos, Luis Miguel; Pereira, Pedro Jose; Ferreira, Andre; Pilastri, Andre; Cortez, Paulo;
PUBLISHED: 2022, SOURCE: NEURAL COMPUTING & APPLICATIONS
AUTHORS: Coelho, Gabriel; Matos, Luis Miguel; Pereira, Pedro Jose; Ferreira, Andre; Pilastri, Andre; Cortez, Paulo;
PUBLISHED: 2022, SOURCE: NEURAL COMPUTING & APPLICATIONS
INDEXED IN: Scopus WOS
Scopus WOS5
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
INDEXED IN: Scopus WOS
Scopus WOS6
TITLE: Categorical Attribute traNsformation Environment (CANE): A python module for categorical to numeric data preprocessing
AUTHORS: Matos, Luis Miguel; Azevedo, Joao; Matta, Arthur; Pilastri, Andre; Cortez, Paulo; Mendes, Rui;
PUBLISHED: 2022, SOURCE: SOFTWARE IMPACTS, VOLUME: 13
AUTHORS: Matos, Luis Miguel; Azevedo, Joao; Matta, Arthur; Pilastri, Andre; Cortez, Paulo; Mendes, Rui;
PUBLISHED: 2022, SOURCE: SOFTWARE IMPACTS, VOLUME: 13
INDEXED IN: Scopus WOS
Scopus WOS7
TITLE: A Deep Learning-Based Decision Support System for Mobile Performance Marketing
AUTHORS: Matos, Luis Miguel; Cortez, Paulo; Mendes, Rui; Moreau, Antoine;
PUBLISHED: 2022, SOURCE: INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
AUTHORS: Matos, Luis Miguel; Cortez, Paulo; Mendes, Rui; Moreau, Antoine;
PUBLISHED: 2022, SOURCE: INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
INDEXED IN: Scopus WOS
Scopus WOS8
TITLE: A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial Sensors
AUTHORS: Fernandes, Cristiana; Matos, Luis Miguel; Folgado, Duarte; Nunes, Maria Lua; Pereira, Joao Rui; Pilastri, Andre; Cortez, Paulo;
PUBLISHED: 2022, SOURCE: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) / IEEE World Congress on Computational Intelligence (IEEE WCCI) / International Joint Conference on Neural Networks (IJCNN) / IEEE Congress on Evolutionary Computation (IEEE CEC) in 2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), VOLUME: 2022-July
AUTHORS: Fernandes, Cristiana; Matos, Luis Miguel; Folgado, Duarte; Nunes, Maria Lua; Pereira, Joao Rui; Pilastri, Andre; Cortez, Paulo;
PUBLISHED: 2022, SOURCE: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) / IEEE World Congress on Computational Intelligence (IEEE WCCI) / International Joint Conference on Neural Networks (IJCNN) / IEEE Congress on Evolutionary Computation (IEEE CEC) in 2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), VOLUME: 2022-July
INDEXED IN: Scopus WOS
Scopus WOS9
TITLE: Predicting Yarn Breaks in Textile Fabrics: A Machine Learning Approach
AUTHORS: Azevedo, J; Ribeiro, R; Matos, LM; Sousa, R; Silva, JP; Pilastri, A; Cortez, P;
PUBLISHED: 2022, SOURCE: 26th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2022 in Procedia Computer Science, VOLUME: 207
AUTHORS: Azevedo, J; Ribeiro, R; Matos, LM; Sousa, R; Silva, JP; Pilastri, A; Cortez, P;
PUBLISHED: 2022, SOURCE: 26th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2022 in Procedia Computer Science, VOLUME: 207
INDEXED IN: Scopus
Scopus10
TITLE: A Sequence to Sequence Long Short-Term Memory Network for Footwear Sales Forecasting
AUTHORS: Santos, Luis; Matos, Luis Miguel; Ferreira, Luis; Alves, Pedro; Viana, Mario; Pilastri, Andre; Cortez, Paulo;
PUBLISHED: 2022, SOURCE: 23rd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) in INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2022, VOLUME: 13756
AUTHORS: Santos, Luis; Matos, Luis Miguel; Ferreira, Luis; Alves, Pedro; Viana, Mario; Pilastri, Andre; Cortez, Paulo;
PUBLISHED: 2022, SOURCE: 23rd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) in INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2022, VOLUME: 13756
INDEXED IN: WOS
WOS