Publicaciones (62) Publicaciones de JOSE RAMON QUEVEDO PEREZ

2023

  1. Direct side information learning for zero-shot regression

    Neurocomputing, Vol. 561

  2. Efficient Implementation of a Genetic Algorithm for the Capacitated Vehicle Routing Problem on a High-Performance FPGA

    Proceedings - 31st IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2023

  3. Impact of multi-output and stacking methods on feed efficiency prediction from genotype using machine learning algorithms

    Journal of Animal Breeding and Genetics, Vol. 140, Núm. 6, pp. 638-652

  4. Regularized boosting with an increasing coefficient magnitude stop criterion as meta-learner in hyperparameter optimization stacking ensemble

    Neurocomputing, Vol. 551

  5. Waste heat recovery system for marine engines optimized through a preference learning rank function embedded into a Bayesian optimizer

    Ocean Engineering, Vol. 281, pp. 114747

2022

  1. Improving importance estimation in covariate shift for providing accurate prediction error

    Expert Systems with Applications, Vol. 193

  2. Target inductive methods for zero-shot regression

    Information Sciences, Vol. 599, pp. 44-63

2021

  1. Capturing waste collection planning expert knowledge in a fitness function through preference learning

    Engineering Applications of Artificial Intelligence, Vol. 99

  2. Selecting between evolutionary and classical algorithms for the CVRP using machine learning: Optimization of vehicle routing problems

    GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion

  3. Using reinforcement learning for tuning genetic algorithms

    GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion

2020

  1. Improving the ϵ -approximate algorithm for Probabilistic Classifier Chains

    Knowledge and Information Systems, Vol. 62, Núm. 7, pp. 2709-2738

2019

  1. Dynamic ensemble selection for quantification tasks

    Information Fusion, Vol. 45, pp. 1-15

2018

  1. Medida de calidad de la planificación de recogida de residuos a partir del conocimiento del experto utilizando aprendizaje de preferencias

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

2017

  1. A family of admissible heuristics for A* to perform inference in probabilistic classifier chains

    Machine Learning, Vol. 106, Núm. 1, pp. 143-169

  2. A heuristic in A* for inference in nonlinear Probabilistic Classifier Chains

    Knowledge-Based Systems, Vol. 126, pp. 78-90

  3. Using ensembles for problems with characterizable changes in data distribution: A case study on quantification

    Information Fusion, Vol. 34, pp. 87-100

2016

  1. An overview of inference methods in probabilistic classifier chains for multilabel classification

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 6, Núm. 6, pp. 215-230

2015

  1. Analyzing superstars’ power using support vector machines

    Empirical Economics, Vol. 49, Núm. 4, pp. 1521-1542

  2. Using A∗ for inference in probabilistic classifier chains

    IJCAI International Joint Conference on Artificial Intelligence

2014

  1. Dependent binary relevance models for multi-label classification

    Pattern Recognition