Search results for: Andrés R. Masegosa
International Journal of Approximate Reasoning > 2017 > 88 > C > 435-451
Progress in Artificial Intelligence > 2017 > 6 > 2 > 133-144
Lecture Notes in Computer Science > Symbolic and Quantitative Approaches to Reasoning with Uncertainty > Learning and Classification > 512-523
IEEE Computational Intelligence Magazine > 2016 > 11 > 2 > 41 - 54
Lecture Notes in Computer Science > Symbolic and Quantitative Approaches to Reasoning with Uncertainty > Probabilistic Classifiers > 908-920
Lecture Notes in Computer Science > Symbolic and Quantitative Approaches to Reasoning with Uncertainty > Bayesian Networks and Causal Networks > 217-228
Lecture Notes in Computer Science > Symbolic and Quantitative Approaches to Reasoning with Uncertainty > Learning and Classification > 489-500
Lecture Notes in Computer Science > Symbolic and Quantitative Approaches to Reasoning with Uncertainty > Learning and Classification > 477-488
Lecture Notes in Computer Science > Symbolic and Quantitative Approaches to Reasoning with Uncertainty > Classification and Clustering > 446-456
Lecture Notes in Computer Science > Symbolic and Quantitative Approaches to Reasoning with Uncertainty > Classification and Clustering > 469-480
Lecture Notes in Computer Science > Foundations of Information and Knowledge Systems > Regular Articles > 248-265
Advances in Intelligent and Soft Computing > 5th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2011) > Applications > 1-8
International Journal of Approximate Reasoning > 2016 > 69 > C > 18-34
Computational Statistics and Data Analysis > 2014 > 71 > Complete > 789-802
International Journal of Approximate Reasoning > 2013 > 54 > 8 > 1168-1181
International Journal of Approximate Reasoning > 2013 > 54 > 4 > 526-540
Applied Soft Computing > 2013 > 13 > 2 > 1110-1120