| Capturing waste collection planning expert knowledge in a fitness function through preference learning | 0 | 0.34 | 2021 |
| Improving the ε-approximate algorithm for Probabilistic Classifier Chains. | 0 | 0.34 | 2020 |
| Dynamic ensemble selection for quantification tasks. | 1 | 0.35 | 2019 |
| Using ensembles for problems with characterizable changes in data distribution: A case study on quantification. | 6 | 0.40 | 2017 |
| A family of admissible heuristics for A* to perform inference in probabilistic classifier chains. | 2 | 0.38 | 2017 |
| A heuristic in A* for inference in nonlinear Probabilistic Classifier Chains. | 1 | 0.36 | 2017 |
| An overview of inference methods in probabilistic classifier chains for multilabel classification. | 3 | 0.40 | 2016 |
| Using A* for Inference in Probabilistic Classifier Chains. | 3 | 0.40 | 2015 |
| Ordinal classification/regression for analyzing the influence of superstars on spectators in cinema marketing. | 3 | 0.37 | 2014 |
| Dependent binary relevance models for multi-label classification | 30 | 0.83 | 2014 |
| Feature selection for classification of animal feed ingredients from near infrared microscopy spectra | 3 | 0.38 | 2013 |
| Disease Liability Prediction from Large Scale Genotyping Data Using Classifiers with a Reject Option | 3 | 0.39 | 2012 |
| Multilabel classifiers with a probabilistic thresholding strategy | 32 | 1.07 | 2012 |
| Aggregating independent and dependent models to learn multi-label classifiers | 12 | 0.64 | 2011 |
| Graphical feature selection for multilabel classification tasks | 7 | 0.51 | 2011 |
| TagRanker: learning to recommend ranked tags | 3 | 0.39 | 2011 |
| Adapting decision DAGs for multipartite ranking | 3 | 0.37 | 2010 |
| Explaining the genetic basis of complex quantitative traits through prediction models. | 0 | 0.34 | 2010 |
| Prediction and Inheritance of Phenotypes | 0 | 0.34 | 2009 |
| Obtaining weights of a rubric through a pairwise learning model when the assessment process involves more than one lecturer | 0 | 0.34 | 2009 |
| THE NECESSARY BACKGROUND FOR IMPLEMENTING AND MANAGING BUILDING DESIGN PROCESSES USING WEB ENVIRONMENTS | 0 | 0.34 | 2007 |
| A Hybrid Feature Selection Method For Text Categorization | 3 | 0.46 | 2007 |
| Analyzing Sensory Data Using Non-linear Preference Learning with Feature Subset Selection | 12 | 0.85 | 2004 |
| Feature subset selection for learning preferences: a case study | 29 | 1.95 | 2004 |
| Discovering Relevancies in Very Difficult Regression Problems: Applications to Sensory Data Analysis | 8 | 0.76 | 2004 |
| Choosing among algorithms to improve accuracy | 0 | 0.34 | 2003 |
| Forecasting Time Series Combining Machine Learning and Box-Jenkins Time Series | 2 | 0.45 | 2002 |
| Un sistema inteligente para calificar morfológicamente a bovinos de la raza Asturiana de los Valles | 1 | 0.40 | 2000 |
| Autonomous Clustering for Machine Learning | 3 | 0.40 | 1999 |
| Self-Organizing Cases to Find Paradigms | 5 | 0.50 | 1999 |
