| Industrial applications of machine learning P Larrañaga, D Atienza, J Diaz-Rozo, A Ogbechie, CE Puerto-Santana, ... CRC Press, 2018 | 87 | 2018 |
| Autoregressive asymmetric linear Gaussian hidden Markov models C Puerto-Santana, P Larrañaga, C Bielza IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 9 | 2021 |
| Asymmetric HMMs for online ball-bearing health assessments C Puerto-Santana, C Bielza, J Diaz-Rozo, G Ramirez-Gargallo, ... IEEE Internet of Things Journal 9 (20), 20160-20177, 2022 | 4 | 2022 |
| Topology optimization applied to the design of cooling channels for plastic injection DA Muñoz, JP Arango, C González, E Puerto, M Garzón Journal of Physics: Conference Series 1002 (1), 012004, 2018 | 4 | 2018 |
| Asymmetric hidden Markov models with continuous variables C Puerto-Santana, C Bielza, P Larranaga Advances in Artificial Intelligence: 18th Conference of the Spanish …, 2018 | 3 | 2018 |
| Feature Saliencies in Asymmetric Hidden Markov Models C Puerto-Santana, P Larrañaga, C Bielza IEEE Transactions on Neural Networks and Learning Systems, 2022 | 2 | 2022 |
| An Online Feature Selection Methodology for Ball-Bearing Harmonic Frequencies Based on HMMs C Puerto-Santana, P Larrañaga, J Diaz-Rozo, C Bielza 16th International Conference on Soft Computing Models in Industrial and …, 2022 | 2 | 2022 |
| Feature subset selection in data-stream environments using asymmetric hidden Markov models and novelty detection C Puerto-Santana, P Larrañaga, C Bielza Neurocomputing, 126641, 2023 | 1 | 2023 |
| Asymmetric hidden Markov models and extensions applied to industry C Puerto Santana ETSI_Informatica, 2023 | | 2023 |
| Context-specific kernel-based hidden Markov model for time series analysis C Puerto-Santana, C Bielza, P Larrañaga, GE Henter arXiv preprint arXiv:2301.09870, 2023 | | 2023 |
Pedro LarrañagaProfessor of Artificial Intelligence - Universidad Politécnica de MadridVerified email at fi.upm.es
