- S. Pérez-Vieites and J. Míguez, “A nested hybrid filter for parameter estimation and state tracking in homogeneous multi-scale models” 2020 IEEE 23rd International Conference on Information Fusion (FUSION), 2020, pp. 1-8, https://doi.org/10.23919/FUSION45008.2020.9190630
- L. Romero-Medrano, P. Moreno-Muñoz and A. Artés-Rodríguez, “Multinomial Sampling for Hierarchical Change-Point Detection”, 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP), 2020, pp. 1-6, https://doi.org/10.1109/MLSP49062.2020.9231616
- P. Moreno-Muñoz, D. Ramírez and A. Artés-Rodríguez, “Continual Learning for Infinite Hierarchical Change-Point Detection” 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, pp. 3582-3586, https://doi.org/10.1109/ICASSP40776.2020.9053853
- J. Míguez, L. Lacasa, J. A. Martínez-Ordóñez and I. Pérez-Mariño, “Multilayer Models of Random Sequences: Representability and inference via Nonlinear Population Monte Carlo” 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019, pp. 629-633, https://doi.org/10.1109/CAMSAP45676.2019.9022529
- P. Bonilla-Escribano, D. Ramírez, and A. Artés-Rodríguez, “Mixtures of Heterogeneous Poisson Processes for the Assessment of e-Social Activity in Mental Health” 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), 2019