| Deep learning for predictive business process monitoring: Review and benchmark E Rama-Maneiro, J Vidal, M Lama IEEE Transactions on Services Computing, 2021 | 131 | 2021 |
| Embedding graph convolutional networks in recurrent neural networks for predictive monitoring E Rama-Maneiro, JC Vidal, M Lama IEEE Transactions on Knowledge and Data Engineering 36 (1), 137-151, 2023 | 22 | 2023 |
| Collective disambiguation in entity linking based on topic coherence in semantic graphs E Rama-Maneiro, JC Vidal, M Lama Knowledge-Based Systems, 105967, 2020 | 15 | 2020 |
| Encoder-decoder model for suffix prediction in predictive monitoring E Rama-Maneiro, P Monteagudo-Lago, JC Vidal, M Lama arXiv preprint arXiv:2211.16106, 2022 | 3 | 2022 |
| Towards Learning the Optimal Sampling Strategy for Suffix Prediction in Predictive Monitoring E Rama-Maneiro, F Patrizi, J Vidal, M Lama International Conference on Advanced Information Systems Engineering, 215-230, 2024 | 2 | 2024 |
| VERONA: A python library for benchmarking deep learning in business process monitoring P Gamallo-Fernandez, E Rama-Maneiro, JC Vidal, M Lama SoftwareX 26, 101734, 2024 | 1 | 2024 |
| Exploiting recurrent graph neural networks for suffix prediction in predictive monitoring E Rama-Maneiro, JC Vidal, M Lama, P Monteagudo-Lago Computing 106 (9), 3085-3111, 2024 | | 2024 |
| Sistema de pregunta-respuesta basado en la aplicación de técnicas de anotación semántica en canales médicos de Youtube E Rama Maneiro | | 2018 |
| Deep Learning Models for Predictive Monitoring of Business Processes E Rama Maneiro | | |
