Pablo Montero-Manso

According to our database, Pablo Montero-Manso authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Time series clustering based on prediction accuracy of global forecasting models.

Ángel López-Oriona, Pablo Montero-Manso, José Antonio Vilar Fernández

CoRR, 2023

2022

Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy.

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

CoRR, 2022

FRANS: Automatic Feature Extraction for Time Series Forecasting.

Alexey Chernikov, Chang Wei Tan, Pablo Montero-Manso, Christoph Bergmeir

CoRR, 2022

Clustering of Time Series Based on Forecasting Performance of Global Models.

Ángel López-Oriona, Pablo Montero-Manso, José Antonio Vilar

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022

2021

A Look at the Evaluation Setup of the M5 Forecasting Competition.

Hansika Hewamalage, Pablo Montero-Manso, Christoph Bergmeir, Rob J. Hyndman

CoRR, 2021

A first perturbome of <i>Pseudomonas aeruginosa</i>: Identification of core genes related to multiple perturbations by a machine learning approach.

Jose Arturo Molina-Mora, Pablo Montero-Manso, Raquel García-Batán, Rebeca Campos-Sánchez, Jose Vilar-Fernández, Fernando García

Biosyst., 2021

Monash Time Series Forecasting Archive.

Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

A Strong Baseline for Weekly Time Series Forecasting.

Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Pablo Montero-Manso

CoRR, 2020

Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality.

Pablo Montero-Manso, Rob J. Hyndman

CoRR, 2020

2019

Two-sample homogeneity testing: A procedure based on comparing distributions of interpoint distances.

Pablo Montero-Manso, José Antonio Vilar

Stat. Anal. Data Min., 2019

Distributed classification based on distances between probability distributions in feature space.

Pablo Montero-Manso, Laura Morán-Fernández, Verónica Bolón-Canedo, José Antonio Vilar, Amparo Alonso-Betanzos

Inf. Sci., 2019