MODESTYA
Modelos de optimización, decisión, estatística e aplicacións
Publicacións (12)
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Artificial Intelligence
2025
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Polynomial Optimization: Tightening RLT-Based Branch-and-Bound Schemes with Conic Constraints
Journal of Optimization Theory and Applications, Vol. 204, Núm. 1
2024
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A fresh look at mean-shift based modal clustering
Advances in Data Analysis and Classification, Vol. 18, Núm. 4, pp. 1067-1095
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An Empirical Study on the Number of Items in Human Evaluation of Automatically Generated Texts
Procesamiento del lenguaje natural, Núm. 72, pp. 45-55
2023
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Learning for Spatial Branching: An Algorithm Selection Approach
INFORMS Journal on Computing, Vol. 35, Núm. 5, pp. 1024-1043
2022
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Assessment of the influence of features on a classification problem: An application to COVID-19 patients
European Journal of Operational Research, Vol. 299, Núm. 2, pp. 631-641
2019
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An extensive experimental survey of regression methods
Neural Networks, Vol. 111, pp. 11-34
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Sparse Matrix Classification on Imbalanced Datasets Using Convolutional Neural Networks
IEEE Access, Vol. 7, pp. 82377-82389
2018
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A New Approach for Sparse Matrix Classification Based on Deep Learning Techniques
Proceedings - IEEE International Conference on Cluster Computing, ICCC
2017
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Variable selection in Functional Additive Regression Models
FUNCTIONAL STATISTICS AND RELATED FIELDS
2016
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Choice-based recommender systems
CEUR Workshop Proceedings
2010
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Partially linear support vector machines applied to the prediction of mine slope movements
Mathematical and Computer Modelling, Vol. 51, Núm. 3-4, pp. 206-215
2004
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Support vector machines and gradient boosting for graphical estimation of a slate deposit
Stochastic Environmental Research and Risk Assessment, Vol. 18, Núm. 5, pp. 309-323