Asymmetric Hidden Markov Models with Continuous Variables. - Carlos Puerto-Santana; Concha Bielza; Pedro Larrañaga (CAEPIA, 2018)

An Online Feature Selection Methodology for Ball-Bearing Harmonic Frequencies Based on HMMs. - Carlos Puerto-Santana; Pedro Larrañaga; Javier Diaz-Rozo; Concha Bielza (SOCO, 2021)

Asymmetric HMMs for Online Ball-Bearing Health Assessments. - Carlos Puerto-Santana; Concha Bielza; Javier Diaz-Rozo; Guillem Ramirez-Gargallo; Filippo Mantovani; Gaizka Virumbrales; Jesús Labarta; Pedro Larrañaga (IEEE Internet Things J., 2022)

Autoregressive Asymmetric Linear Gaussian Hidden Markov Models. - Carlos Puerto-Santana; Pedro Larrañaga; Concha Bielza (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Context-specific kernel-based hidden Markov model for time series analysis. - Carlos Puerto-Santana; Concha Bielza; Pedro Larrañaga; Gustav Eje Henter (CoRR, 2023)

Feature subset selection in data-stream environments using asymmetric hidden Markov models and novelty detection. - Carlos Puerto-Santana; Pedro Larrañaga; Concha Bielza (Neurocomputing, 2023)

Feature Saliencies in Asymmetric Hidden Markov Models. - Carlos Puerto-Santana; Pedro Larrañaga; Concha Bielza (IEEE Trans. Neural Networks Learn. Syst., 2024)