Publicaciones en las que colabora con ELENA MONTAÑES ROCES (34)

2023

  1. Direct side information learning for zero-shot regression

    Neurocomputing, Vol. 561

  2. 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

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

    Neurocomputing, Vol. 551

  4. 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

2020

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

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

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

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. 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

  2. Ordinal classification/regression for analyzing the influence of superstars on spectators in cinema marketing

    Expert Systems with Applications, Vol. 41, Núm. 18, pp. 8101-8111

2013

  1. Feature selection for classification of animal feed ingredients from near infrared microscopy spectra

    Information Sciences, Vol. 241, pp. 58-69

  2. Predicting fertility from seminal traits: Performance of several parametric and non-parametric procedures

    Livestock Science, Vol. 155, Núm. 1, pp. 137-147

2011

  1. A greedy algorithm for dimensionality reduction in polynomial regression to forecast the performance of a power plant condenser

    Intelligent Data Analysis

  2. Aggregating independent and dependent models to learn multi-label classifiers

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. TagRanker: Learning to recommend ranked tags

    Logic Journal of the IGPL, Vol. 19, Núm. 2, pp. 395-404