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ORCIDFernando Moreno-Pino
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2020 – today
- 2024
[i8]Fernando Moreno-Pino, Alvaro Arroyo, Harrison Waldon, Xiaowen Dong, Álvaro Cartea:
Rough Transformers for Continuous and Efficient Time-Series Modelling. CoRR abs/2403.10288 (2024)- [i7]Fernando Moreno-Pino, Alvaro Arroyo, Harrison Waldon, Xiaowen Dong, Álvaro Cartea:
Rough Transformers: Lightweight Continuous-Time Sequence Modelling with Path Signatures. CoRR abs/2405.20799 (2024) - 2023
- [j1]Fernando Moreno-Pino
, Pablo M. Olmos, Antonio Artés-Rodríguez:
Deep autoregressive models with spectral attention. Pattern Recognit. 133: 109014 (2023) - [i6]María Martínez-García, Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez:
Sleep Activity Recognition and Characterization from Multi-Source Passively Sensed Data. CoRR abs/2301.10156 (2023) - [i5]Óscar Jiménez Rama, Fernando Moreno-Pino, David Ramírez, Pablo M. Olmos:
Interpretable Spectral Variational AutoEncoder (ISVAE) for time series clustering. CoRR abs/2310.11940 (2023) - 2022
- [i4]Fernando Moreno-Pino, Emese Sükei, Pablo M. Olmos, Antonio Artés-Rodríguez:
PyHHMM: A Python Library for Heterogeneous Hidden Markov Models. CoRR abs/2201.06968 (2022) - [i3]Fernando Moreno-Pino, Stefan Zohren:
DeepVol: Volatility Forecasting from High-Frequency Data with Dilated Causal Convolutions. CoRR abs/2210.04797 (2022) - [i2]Fernando Moreno-Pino, María Martínez-García, Pablo M. Olmos, Antonio Artés-Rodríguez:
Heterogeneous Hidden Markov Models for Sleep Activity Recognition from Multi-Source Passively Sensed Data. CoRR abs/2211.10371 (2022) - 2021
- [i1]Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez:
Deep Autoregressive Models with Spectral Attention. CoRR abs/2107.05984 (2021) - 2020
- [c1]Gonzalo Rios-Muñoz, Fernando Moreno-Pino, Nina Soto, Pablo M. Olmos, Antonio Artés-Rodríguez, Francisco Fernandez-Aviles, Angel Arenal:
Hidden Markov Models for Activity Detection in Atrial Fibrillation Electrograms. CinC 2020: 1-4
Coauthor Index
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