Neighbor Selection for Cold Users in Collaborative Filtering with Positive-Only Feedback
Crowd Learning with Candidate Labeling: An EM-Based Solution
Comparing Deep Recurrent Networks Based on the MAE Random Sampling, a First Approach
PMSC-UGR: A Test Collection for Expert Recommendation Based on PubMed and Scopus
Bayesian Optimization of the PC Algorithm for Learning Gaussian Bayesian Networks
Identifying the Machine Learning Family from Black-Box Models
Participatory Design with On-line Focus Groups and Normative Systems
Measuring Diversity and Accuracy in ANN Ensembles
Measuring the Quality of Machine Learning and
Optimization Frameworks
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Equivalence Relations on Fuzzy Subgroups
A PageRank-Based Method to Extract Fuzzy Expressions as Features in Supervised Classification Problems
Fuzzy Information and Contexts for Designing Automatic Decision-Making Systems
An Empirical Validation of a New Memetic CRO Algorithm for the Approximation of Time Series
Reduction of the Size of Datasets by Using Evolutionary Feature Selection: The Case of Noise in a Modern City
Modeling the Navigation on Enrolment Web Information Area of a University Using Machine Learning Techniques
An Intelligent Advisor for City Traffic Policies