| Deep dense and convolutional autoencoders for machine acoustic anomaly detection G Coelho, P Pereira, L Matos, A Ribeiro, EC Nunes, A Ferreira, P Cortez, ... IFIP International Conference on Artificial Intelligence Applications and …, 2021 | 17* | 2021 |
| Forecasting store foot traffic using facial recognition, time series and support vector machines P Cortez, LM Matos, PJ Pereira, N Santos, D Duque International Joint Conference SOCO’16-CISIS’16-ICEUTE’16, 267-276, 2016 | 16 | 2016 |
| Using deep learning for mobile marketing user conversion prediction LM Matos, P Cortez, R Mendes, A Moreau 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 14 | 2019 |
| A comparison of data-driven approaches for mobile marketing user conversion prediction LM Matos, P Cortez, R Mendes, A Moreau 2018 International Conference on Intelligent Systems (IS), 140-146, 2018 | 11 | 2018 |
| A categorical clustering of publishers for mobile performance marketing S Silva, P Cortez, R Mendes, PJ Pereira, LM Matos, L Garcia The 13th International Conference on Soft Computing Models in Industrial and …, 2018 | 6 | 2018 |
| A comparison of anomaly detection methods for industrial screw tightening D Ribeiro, LM Matos, P Cortez, G Moreira, A Pilastri International Conference on Computational Science and Its Applications, 485-500, 2021 | 5 | 2021 |
| Using deep learning for ordinal classification of mobile marketing user conversion LM Matos, P Cortez, RC Mendes, A Moreau International Conference on Intelligent Data Engineering and Automated …, 2019 | 5 | 2019 |
| Isolation Forests and Deep Autoencoders for Industrial Screw Tightening Anomaly Detection D Ribeiro, LM Matos, G Moreira, A Pilastri, P Cortez Computers 11 (4), 54, 2022 | 2 | 2022 |
| A comparison of machine learning approaches for predicting in-car display production quality LM Matos, A Domingues, G Moreira, P Cortez, A Pilastri International Conference on Intelligent Data Engineering and Automated …, 2021 | 2 | 2021 |
| A deep learning based decision support system for mobile performance marketing LM Matos, P Cortez, R Mendes, A Moreau International Journal of Information Technology & Decision Making, 2022 | 1 | 2022 |
| Categorical Attribute traNsformation Environment (CANE): A python module for categorical to numeric data preprocessing LM Matos, J Azevedo, A Matta, A Pilastri, P Cortez, R Mendes Software Impacts 13, 100359, 2022 | 1 | 2022 |
| An empirical study on anomaly detection algorithms for extremely imbalanced datasets G Fontes, LM Matos, A Matta, A Pilastri, P Cortez IFIP International Conference on Artificial Intelligence Applications and …, 2022 | 1 | 2022 |
| A Machine Learning Approach for Spare Parts Lifetime Estimation. L Macedo, LM Matos, P Cortez, A Domingues, G Moreira, AL Pilastri ICAART (3), 765-772, 2022 | 1 | 2022 |
| Using deep autoencoders for in-vehicle audio anomaly detection PJ Pereira, G Coelho, A Ribeiro, LM Matos, EC Nunes, A Ferreira, ... Procedia Computer Science 192, 298-307, 2021 | 1 | 2021 |
| Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio G Coelho, LM Matos, PJ Pereira, A Ferreira, A Pilastri, P Cortez Neural Computing and Applications, 1-15, 2022 | | 2022 |
| An intelligent decision support system for mobile performance marketing LM Matos Minho University, 2021 | | 2021 |
| Forecasting human entrances at a commercial store using facial recognition data LMR Matos Minho University, 2015 | | 2015 |
Paulo CortezFull Professor, ALGORITMI/Dep. Information Systems, University of MinhoEmail confirmado em dsi.uminho.pt
