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ORCIDIván Méndez-Jiménez
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Conference and Workshop Papers
- 2019
[c5]Miguel Cárdenas-Montes
, Iván Méndez-Jiménez:
Ensemble Deep Learning for Forecasting ^222Rn 222 R n Radiation Level at Canfranc Underground Laboratory. SOCO 2019: 157-167- 2018
- [c4]Iván Méndez-Jiménez, Miguel Cárdenas-Montes:
Time Series Decomposition for Improving the Forecasting Performance of Convolutional Neural Networks. CAEPIA 2018: 87-97 - [c3]Iván Méndez-Jiménez, Miguel Cárdenas-Montes:
Modelling and Forecasting of the ^222Rn Radiation Level Time Series at the Canfranc Underground Laboratory. HAIS 2018: 158-170 - [c2]David Crespo-Roces, Iván Méndez-Jiménez, Sancho Salcedo-Sanz, Miguel Cárdenas-Montes:
Generalized Probability Distribution Mixture Model for Clustering. HAIS 2018: 251-263 - 2017
- [c1]Iván Méndez-Jiménez, Miguel Cárdenas-Montes, Juan José Rodríguez-Vázquez, Ignacio Sevilla-Noarbe, Eusebio Sánchez Álvaro, David Alonso, Miguel A. Vega-Rodríguez:
An Accuracy-Aware Implementation of Two-Point Three-Dimensional Correlation Function using Bin-Recycling Strategy on GPU. CCGrid 2017: 913-920
Informal and Other Publications
- 2017
- [i1]Miguel Cárdenas-Montes, Iván Méndez-Jiménez, Juan José Rodríguez-Vázquez, José María Hernández Calama:
Report: Performance comparison between C2075 and P100 GPU cards using cosmological correlation functions. CoRR abs/1709.03264 (2017)
Coauthor Index
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