| Validation of Fitbit Charge 2 and Fitbit Alta HR Against Polysomnography for Assessing Sleep in Adults With Obstructive Sleep Apnea. F Moreno-Pino, A Porras-Segovia, P López-Esteban, A Artés, ... Journal of Clinical Sleep Medicine: JCSM: official publication of the …, 2019 | 93 | 2019 |
| Deep autoregressive models with spectral attention F Moreno-Pino, PM Olmos, A Artés-Rodríguez Pattern Recognition 133, 109014, 2023 | 13 | 2023 |
| Deep attentive survival analysis in limit order books: Estimating fill probabilities with convolutional-transformers A Arroyo, A Cartea, F Moreno-Pino, S Zohren Quantitative Finance 24 (1), 35-57, 2024 | 10 | 2024 |
| Deepvol: Volatility forecasting from high-frequency data with dilated causal convolutions F Moreno-Pino, S Zohren arXiv preprint arXiv:2210.04797, 2022 | 9 | 2022 |
| PyHHMM: A Python library for heterogeneous hidden Markov models F Moreno-Pino, E Sükei, PM Olmos, A Artés-Rodríguez arXiv preprint arXiv:2201.06968, 2022 | 8 | 2022 |
| Hidden Markov models for activity detection in atrial fibrillation electrograms GR Ríos-Muñoz, F Moreno-Pino, N Soto, PM Olmos, A Artés-Rodríguez, ... 2020 Computing in Cardiology, 1-4, 2020 | 7 | 2020 |
| Heterogeneous Hidden Markov Models for Sleep Activity Recognition from Multi-Source Passively Sensed Data F Moreno-Pino, M Martínez-García, PM Olmos, A Artés-Rodríguez Machine Learning for Health (ML4H) Workshop, 2022 | 4 | 2022 |
| Sleep Activity Recognition and Characterization from Multi-Source Passively Sensed Data M Martínez-García, F Moreno-Pino, PM Olmos, A Artés-Rodríguez arXiv preprint arXiv:2301.10156, 2023 | 3 | 2023 |
| Interpretable Spectral Variational AutoEncoder (ISVAE) for time series clustering ÓJ Rama, F Moreno-Pino, D Ramírez, PM Olmos arXiv preprint arXiv:2310.11940, 2023 | 1 | 2023 |
| Rough Transformers for Continuous and Efficient Time-Series Modelling F Moreno-Pino, Á Arroyo, H Waldon, X Dong, Á Cartea ICLR 2024 Workshop on Learning from Time Series for Health, 2024 | | 2024 |
| Deep Attentive Time Series Modelling for Quantitative Finance F Moreno Pino | | 2023 |
| SLEEP-WAKE PATTERNS DETECTION WITH HETEROGENEOUS-LABELLED HMMs F Moreno-Pino, A Artés-Rodríguez | | |
Antonio Artés RodríguezProfessor, Dept. of Signal Theory and Communications, Universidad Carlos III de MadridVerified email at tsc.uc3m.es
