Pablo Montero-Manso

Orcid: 0000-0003-3816-0985

According to our database1, Pablo Montero-Manso authored at least 78 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
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5
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15
20
25
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35
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45
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55
60
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2
12
53

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Time series clustering based on prediction accuracy of global forecasting models.
CoRR, 2023

2022
Extended Wikipedia Web Traffic Daily Dataset (without Missing Values).
Dataset, November, 2022

Extended Wikipedia Web Traffic Daily Dataset (with Missing Values).
Dataset, November, 2022

Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy.
CoRR, 2022

FRANS: Automatic Feature Extraction for Time Series Forecasting.
CoRR, 2022

Clustering of Time Series Based on Forecasting Performance of Global Models.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022

2021

Temperature Rain Dataset without Missing Values.
Dataset, July, 2021

Temperature Rain Dataset with Missing Values.
Dataset, July, 2021

Vehicle Trips Dataset without Missing Values.
Dataset, July, 2021

Vehicle Trips Dataset with Missing Values.
Dataset, July, 2021

Rideshare Dataset without Missing Values.
Dataset, July, 2021

Rideshare Dataset with Missing Values.
Dataset, July, 2021

Bitcoin Dataset without Missing Values.
Dataset, July, 2021

Bitcoin Dataset with Missing Values.
Dataset, July, 2021

COVID-19 Mobility Dataset (without Missing Values).
Dataset, April, 2021

COVID-19 Mobility Dataset (with Missing Values).
Dataset, April, 2021

Australian Electricity Demand Dataset.
Dataset, April, 2021

A Look at the Evaluation Setup of the M5 Forecasting Competition.
CoRR, 2021

A first perturbome of <i>Pseudomonas aeruginosa</i>: Identification of core genes related to multiple perturbations by a machine learning approach.
Biosyst., 2021

Monash Time Series Forecasting Archive.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020






Car Parts Dataset (with Missing Values).
Dataset, August, 2020

Car Parts Dataset (without Missing Values).
Dataset, August, 2020



Wind Power Dataset (4 Seconds Observations).
Dataset, August, 2020

Solar Power Dataset (4 Seconds Observations).
Dataset, August, 2020

Wind Farms Dataset (with Missing Values).
Dataset, August, 2020

Wind Farms Dataset (without Missing Values).
Dataset, August, 2020




Solar Dataset (10 Minutes Observations).
Dataset, June, 2020






NN5 Daily Dataset (without Missing Values).
Dataset, June, 2020

NN5 Daily Dataset (with Missing Values).
Dataset, June, 2020




Kaggle Wikipedia Web Traffic Daily Dataset (with Missing Values).
Dataset, June, 2020

Kaggle Wikipedia Web Traffic Daily Dataset (without Missing Values).
Dataset, June, 2020

London Smart Meters Dataset (with Missing Values).
Dataset, June, 2020

Electricity Demand (Elecdemand) Dataset.
Dataset, June, 2020

Saugeen River Flow (SaugeenDay) Dataset.
Dataset, June, 2020



KDD Cup Dataset (without Missing Values).
Dataset, June, 2020

KDD Cup Dataset (with Missing Values).
Dataset, June, 2020

Kaggle Wikipedia Web Traffic Weekly Dataset.
Dataset, June, 2020

Melbourne Pedestrian Counts Dataset.
Dataset, June, 2020


London Smart Meters Dataset (without Missing Values).
Dataset, June, 2020











Sunspot Daily Dataset (with Missing Values).
Dataset, June, 2020

Sunspot Daily Dataset (without Missing Values).
Dataset, June, 2020

A Strong Baseline for Weekly Time Series Forecasting.
CoRR, 2020

Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality.
CoRR, 2020

2019
Two-sample homogeneity testing: A procedure based on comparing distributions of interpoint distances.
Stat. Anal. Data Min., 2019

Distributed classification based on distances between probability distributions in feature space.
Inf. Sci., 2019


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