| Predicting the Tear Strength of Woven Fabrics Via Automated Machine Learning: An Application of the CRISP-DM Methodology. R Ribeiro, AL Pilastri, C Moura, F Rodrigues, R Rocha, P Cortez ICEIS (1), 548-555, 2020 | 24 | 2020 |
| Predicting physical properties of woven fabrics via automated machine learning and textile design and finishing features R Ribeiro, A Pilastri, C Moura, F Rodrigues, R Rocha, J Morgado, ... IFIP International Conference on Artificial Intelligence Applications and …, 2020 | 20 | 2020 |
| Predicting yarn breaks in textile fabrics: A machine learning approach J Azevedo, R Ribeiro, LM Matos, R Sousa, JP Silva, A Pilastri, P Cortez Procedia Computer Science 207, 2301-2310, 2022 | 6 | 2022 |
| A data-driven intelligent decision support system that combines predictive and prescriptive analytics for the design of new textile fabrics R Ribeiro, A Pilastri, C Moura, J Morgado, P Cortez Neural Computing and Applications 35 (23), 17375-17395, 2023 | 3 | 2023 |
| Production Time Prediction for Contract Manufacturing Industries Using Automated Machine Learning A Sousa, L Ferreira, R Ribeiro, J Xavier, A Pilastri, P Cortez IFIP International Conference on Artificial Intelligence Applications and …, 2022 | 2 | 2022 |
| An Interoperable Cloud Platform for the Garment Industry F Morais, N Soares, R Ribeiro, M Alves, P Rocha, A Lima, RJ Machado Proceedings of SAI Intelligent Systems Conference, 457-477, 2022 | 1 | 2022 |
| An Intelligent Decision Support System for Production Planning in Garments Industry R Ribeiro, A Pilastri, H Carvalho, A Matta, PJ Pereira, P Rocha, M Alves, ... International Conference on Intelligent Data Engineering and Automated …, 2021 | 1 | 2021 |
