| Combining clustering and active learning for the detection and learning of new image classes. | 0 | 0.34 | 2019 |
| Time Series Decomposition Using Spring System Applied on Phase Spaces | 0 | 0.34 | 2018 |
| Online Orthogonal Regression Based On A Regularized Squared Loss | 0 | 0.34 | 2018 |
| Classification with Multi-Modal Classes Using Evolutionary Algorithms and Constrained Clustering | 0 | 0.34 | 2018 |
| A Survey and Comparative Study of Tweet Sentiment Analysis via Semi-Supervised Learning. | 17 | 0.63 | 2016 |
| Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features. | 0 | 0.34 | 2016 |
| Using Metaheuristics To Optimize The Combination Of Classifier And Cluster Ensembles | 17 | 0.56 | 2015 |
| Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach. | 1 | 0.35 | 2014 |
| An Optimization Framework for Combining Ensembles of Classifiers and Clusterers with Applications to Nontransductive Semisupervised Learning and Transfer Learning | 9 | 0.50 | 2014 |
| A study of K-Means-based algorithms for constrained clustering | 11 | 0.52 | 2013 |
| Using Both Latent and Supervised Shared Topics for Multitask Learning. | 2 | 0.35 | 2013 |
| Hierarchical Bottom-Up Safe Semi-Supervised Support Vector Machines for Multi-Class Transductive Learning. | 1 | 0.35 | 2013 |
| Unsupervised Learning Of Gaussian Mixture Models: Evolutionary Create And Eliminate For Expectation Maximization Algorithm | 2 | 0.37 | 2013 |
| Competitive learning with pairwise constraints. | 5 | 0.42 | 2013 |
| Data stream clustering: A survey | 67 | 1.59 | 2013 |
| A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles | 0 | 0.34 | 2012 |
| On the use of consensus clustering for incremental learning of topic hierarchies | 2 | 0.37 | 2012 |
| Collaborative Fuzzy Clustering Algorithms: Some Refinements and Design Guidelines | 41 | 1.30 | 2012 |
| Transfer Learning with Cluster Ensembles. | 3 | 0.39 | 2012 |
| Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning | 2 | 0.38 | 2012 |
| A Semi-supervised Approach to Estimate the Number of Clusters per Class | 1 | 0.39 | 2012 |
| An Optimization Framework for Semi-Supervised and Transfer Learning using Multiple Classifiers and Clusterers | 1 | 0.36 | 2012 |
| Towards improving cluster-based feature selection with a simplified silhouette filter. | 11 | 0.49 | 2011 |
| Using Meta-learning to Recommend Meta-heuristics for the Traveling Salesman Problem | 3 | 0.40 | 2011 |
| C 3E: A Framework for Combining Ensembles of Classifiers and Clusterers. | 3 | 0.41 | 2011 |
| A Bayesian imputation method for a clustering genetic algorithm | 3 | 0.38 | 2011 |
| Splitting and Merging Gaussian Mixture Model Components: An Evolutionary Approach | 3 | 0.41 | 2011 |
| Bayesian network classifiers: Beyond classification accuracy | 6 | 0.44 | 2011 |
| Distributed Fuzzy Clustering with Automatic Detection of the Number of Clusters. | 3 | 0.39 | 2011 |
| Relative clustering validity criteria: A comparative overview | 71 | 2.10 | 2010 |
| A Distance-Based Mutation Operator For Learning Bayesian Network Structures Using Evolutionary Algorithms | 1 | 0.39 | 2010 |
| Fuzzy Clustering-Based Filter | 0 | 0.34 | 2010 |
| An Experimental Study on Unsupervised Clustering-Based Feature Selection Methods | 2 | 0.39 | 2009 |
| On the influence of imputation in classification: practical issues | 6 | 0.58 | 2009 |
| A Cluster-Based Feature Selection Approach | 15 | 0.67 | 2009 |
| An Evolutionary Algorithm for Missing Values Substitution in Classification Tasks | 2 | 0.40 | 2009 |
| EACImpute: An Evolutionary Algorithm for Clustering-Based Imputation | 3 | 0.40 | 2009 |
| On the efficiency of evolutionary fuzzy clustering | 29 | 1.15 | 2009 |
| A Robust Methodology for Comparing Performances of Clustering Validity Criteria | 2 | 0.38 | 2008 |
| Exploiting idle cycles to execute data mining applications on clusters of PCs | 8 | 0.49 | 2007 |
| WNB: A Weighted Naïve Bayesian Classifier | 0 | 0.34 | 2007 |
| Bayesian networks for imputation in classification problems | 17 | 0.95 | 2007 |
| A Fuzzy Variant Of An Evolutionary Algorithm For Clustering | 4 | 0.53 | 2007 |
| Evolving clusters in gene-expression data | 60 | 2.47 | 2006 |
| Extracting rules from multilayer perceptrons in classification problems: A clustering-based approach. | 28 | 1.08 | 2006 |
| Towards A Fast Evolutionary Algorithm For Clustering | 20 | 0.79 | 2006 |
| Missing values imputation for a clustering genetic algorithm | 2 | 0.49 | 2005 |
| Applying Bayesian Networks for Meteorological Data Mining | 1 | 0.39 | 2005 |
| Feature Selection for Clustering Problems: a Hybrid Algorithm that Iterates Between k-means and a Bayesian Filter | 6 | 0.63 | 2005 |
| Feature Selection for Cluster Analysis: an Approach Based on the Simplified Silhouette Criterion | 7 | 0.46 | 2005 |
