Pablo Montero-Manso

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 12

Top Topics

Feature Extraction

Predictive Accuracy

Probability Distribution

Top Venues

Stat. Anal. Data Min.

AALTD@ECML/PKDD

Publications

Ángel López-Oriona, Pablo Montero-Manso, José Antonio Vilar Fernández
Time series clustering based on prediction accuracy of global forecasting models. CoRR (2023)
Alexey Chernikov, Chang Wei Tan, Pablo Montero-Manso, Christoph Bergmeir
FRANS: Automatic Feature Extraction for Time Series Forecasting. CoRR (2022)
Ángel López-Oriona, Pablo Montero-Manso, José Antonio Vilar
Clustering of Time Series Based on Forecasting Performance of Global Models. AALTD@ECML/PKDD (2022)
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 (2022)
Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso
Monash Time Series Forecasting Archive. CoRR (2021)
Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso
Monash Time Series Forecasting Archive. NeurIPS Datasets and Benchmarks (2021)
Hansika Hewamalage, Pablo Montero-Manso, Christoph Bergmeir, Rob J. Hyndman
A Look at the Evaluation Setup of the M5 Forecasting Competition. CoRR (2021)
Jose Arturo Molina-Mora, Pablo Montero-Manso, Raquel García-Batán, Rebeca Campos-Sánchez, Jose Vilar-Fernández, Fernando García
: Identification of core genes related to multiple perturbations by a machine learning approach. Biosyst. 205 (2021)
Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Pablo Montero-Manso
A Strong Baseline for Weekly Time Series Forecasting. CoRR (2020)
Pablo Montero-Manso, Rob J. Hyndman
Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality. CoRR (2020)
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) (2019)
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 (2019)