Leandro Leonardo Lorente-Leyva
Orcid: 0000-0002-2973-7765
According to our database1,
Leandro Leonardo Lorente-Leyva
authored at least 12 papers
between 2018 and 2021.
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Bibliography
2021
Algorithms Air Quality Estimation: A Comparative Study of Stochastic and Heuristic Predictive Models.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021
Demand Forecasting for Textile Products Using Statistical Analysis and Machine Learning Algorithms.
Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2021
2020
A Comparison of Machine Learning and Classical Demand Forecasting Methods: A Case Study of Ecuadorian Textile Industry.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
A Forecasting Model to Predict the Demand of Roses in an Ecuadorian Small Business Under Uncertain Scenarios.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
2019
Artificial Neural Networks for Bottled Water Demand Forecasting: A Small Business Case Study.
Proceedings of the Advances in Computational Intelligence, 2019
Urban Pollution Environmental Monitoring System Using IoT Devices and Data Visualization: A Case Study.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019
Optimization of the Master Production Scheduling in a Textile Industry Using Genetic Algorithm.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019
Adaptation and Recovery Stages for Case-Based Reasoning Systems Using Bayesian Estimation and Density Estimation with Nearest Neighbors.
Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019
Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019
2018
Developments on Solutions of the Normalized-Cut-Clustering Problem Without Eigenvectors.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018
Optimization of the University Transportation by Contraction Hierarchies Method and Clustering Algorithms.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018