Javier Francisco Muguerza
Artificial Intelligence · 2007–2013
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it
- Evaluation & Benchmarks — 8 citations into it
Whom Javier Francisco Muguerza trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Javier Francisco Muguerza's perspective
Ordered by how strongly the researchers Javier Francisco Muguerza trusts endorse each paper. Same corpus, a different order for every researcher.
- Algorithms for Clustering Data
- UCI Repository of machine learning databases
- Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
- Experiments with a New Boosting Algorithm
- An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
- Statistical Comparisons of Classifiers over Multiple Data Sets
- A Stability Based Method for Discovering Structure in Clustered Data (Pacific Symposium on Biocomputing)
- An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Comparing Clusterings by the Variation of Information (Annual Conference Computational Learning Theory)
Their papers
- An extensive comparative study of cluster validity indices (2013) — 1,361 citations
- CTC : an alternative to extract explanation from bagging (2007)