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Pablo Montero-Manso
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2020 – today
- 2023
- [i7]Ángel López-Oriona, Pablo Montero-Manso, José Antonio Vilar Fernández:
Time series clustering based on prediction accuracy of global forecasting models. CoRR abs/2305.00473 (2023) - 2022
- [c2]Ángel López-Oriona, Pablo Montero-Manso, José Antonio Vilar:
Clustering of Time Series Based on Forecasting Performance of Global Models. AALTD@ECML/PKDD 2022: 18-33 - [i6]Alexey Chernikov, Chang Wei Tan, Pablo Montero-Manso, Christoph Bergmeir:
FRANS: Automatic Feature Extraction for Time Series Forecasting. CoRR abs/2209.07018 (2022) - [i5]Christoph Bergmeir, Frits de Nijs, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, Evgenii Genov, Robert Glasgow, Rakshitha Godahewa, Yanfei Kang, Steffen Limmer, Luis Magdalena, Pablo Montero-Manso, Daniel Peralta, Yogesh Pipada Sunil Kumar, Alejandro Rosales-Pérez, Julian Ruddick, Akylas C. Stratigakos, Peter J. Stuckey, Guido Tack, Isaac Triguero, Rui Yuan:
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy. CoRR abs/2212.10723 (2022) - 2021
- [j3]Jose Arturo Molina-Mora, Pablo Montero-Manso, Raquel García-Batán, Rebeca Campos-Sánchez, Jose Vilar-Fernández, Fernando García:
A first perturbome of Pseudomonas aeruginosa: Identification of core genes related to multiple perturbations by a machine learning approach. Biosyst. 205: 104411 (2021) - [c1]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso:
Monash Time Series Forecasting Archive. NeurIPS Datasets and Benchmarks 2021 - [i4]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso:
Monash Time Series Forecasting Archive. CoRR abs/2105.06643 (2021) - [i3]Hansika Hewamalage, Pablo Montero-Manso, Christoph Bergmeir, Rob J. Hyndman:
A Look at the Evaluation Setup of the M5 Forecasting Competition. CoRR abs/2108.03588 (2021) - 2020
- [i2]Pablo Montero-Manso, Rob J. Hyndman:
Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality. CoRR abs/2008.00444 (2020) - [i1]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Pablo Montero-Manso:
A Strong Baseline for Weekly Time Series Forecasting. CoRR abs/2010.08158 (2020)
2010 – 2019
- 2019
- [j2]Pablo Montero-Manso, Laura Morán-Fernández, Verónica Bolón-Canedo, José Antonio Vilar, Amparo Alonso-Betanzos:
Distributed classification based on distances between probability distributions in feature space. Inf. Sci. 496: 431-450 (2019) - [j1]Pablo Montero-Manso, José Antonio Vilar:
Two-sample homogeneity testing: A procedure based on comparing distributions of interpoint distances. Stat. Anal. Data Min. 12(3): 234-252 (2019)
Coauthor Index
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