Jaime Salvador-Meneses

Orcid: 0000-0002-3564-8929

According to our database1, Jaime Salvador-Meneses authored at least 18 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Improving Landslides Prediction: Meteorological Data Preprocessing Based on Supervised and Unsupervised Learning.
Cybern. Syst., August, 2024

Improving landslide prediction by computer vision and deep learning.
Integr. Comput. Aided Eng., 2024

2022
Landslide Prediction with Machine Learning and Time Windows.
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

Defining High Risk Landslide Areas Using Machine Learning.
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

2021
Improving Landslides Prediction: Meteorological Data Preprocessing Using Random Forest-Based Feature Selection.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

Predicting Landslides with Machine Learning Methods Using Temporal Sequences of Meteorological Data.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

2020
Implementation of a Low-Cost Rain Gauge with Arduino and Thingspeak.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

2019
Compressed <i>k</i>NN: K-Nearest Neighbors with Data Compression.
Entropy, 2019

Analysis of Dogs's Abandonment Problem Using Georeferenced Multi-agent Systems.
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019

2018
Solid Waste Management using Georeferenced Multi-agent Systems.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2018

Categorical Big Data Processing.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Data Pre-processing to Apply Multiple Imputation Techniques: A Case Study on Real-World Census Data.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Machine Learning Methods Based Preprocessing to Improve Categorical Data Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Low Level Big Data Compression.
Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

Low Level Big Data Processing.
Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

2017
A Review of Infrastructures to Process Big Multimedia Data.
Int. J. Comput. Vis. Image Process., 2017

Big Data Infrastructure: A Survey.
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017

A Survey of Machine Learning Methods for Big Data.
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017


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