158 results on '"Herrera, Francisco"'
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2. Explanation sets: A general framework for machine learning explainability
3. Multiple instance classification: Bag noise filtering for negative instance noise cleaning
4. An efficient consensus reaching framework for large-scale social network group decision making and its application in urban resettlement
5. AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking
6. A consensus process based on regret theory with probabilistic linguistic term sets and its application in venture capital
7. Score function based on concentration degree for probabilistic linguistic term sets: An application to TOPSIS and VIKOR
8. LUNAR: Cellular automata for drifting data streams
9. Linguistic group decision making: Axiomatic distance and minimum cost consensus
10. A two-step communication opinion dynamics model with self-persistence and influence index for social networks based on the DeGroot model
11. Ensembles of cost-diverse Bayesian neural learners for imbalanced binary classification
12. Preprocessing methodology for time series: An industrial world application case study
13. Hesitancy degree-based correlation measures for hesitant fuzzy linguistic term sets and their applications in multiple criteria decision making
14. Social network group decision making: Managing self-confidence-based consensus model with the dynamic importance degree of experts and trust-based feedback mechanism
15. Group decision making with double hierarchy hesitant fuzzy linguistic preference relations: Consistency based measures, index and repairing algorithms and decision model
16. Consensus reaching in social network DeGroot Model: The roles of the Self-confidence and node degree
17. E2SAM: Evolutionary ensemble of sentiment analysis methods for domain adaptation
18. Enabling Smart Data: Noise filtering in Big Data classification
19. Chain based sampling for monotonic imbalanced classification
20. Dynamic ensemble selection for multi-class imbalanced datasets
21. Multi-label classification using a fuzzy rough neighborhood consensus
22. Consistency of hesitant fuzzy linguistic preference relations: An interval consistency index
23. A linear programming method for multiple criteria decision making with probabilistic linguistic information
24. Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks
25. Managing consensus based on leadership in opinion dynamics
26. GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs
27. Connecting the linguistic hierarchy and the numerical scale for the 2-tuple linguistic model and its use to deal with hesitant unbalanced linguistic information
28. Region-based memetic algorithm with archive for multimodal optimisation
29. Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets
30. Evolutionary fuzzy k-nearest neighbors algorithm using interval-valued fuzzy sets
31. A distance-based framework to deal with ordinal and additive inconsistencies for fuzzy reciprocal preference relations
32. A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation
33. Minimizing adjusted simple terms in the consensus reaching process with hesitant linguistic assessments in group decision making
34. An optimization-based approach to adjusting unbalanced linguistic preference relations to obtain a required consistency level
35. SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering
36. Analyzing convergence performance of evolutionary algorithms: A statistical approach
37. Implementing algorithms of rough set theory and fuzzy rough set theory in the R package “RoughSets”
38. On the use of MapReduce for imbalanced big data using Random Forest
39. Empowering difficult classes with a similarity-based aggregation in multi-class classification problems
40. Region based memetic algorithm for real-parameter optimisation
41. Fuzzy nearest neighbor algorithms: Taxonomy, experimental analysis and prospects
42. On the importance of the validation technique for classification with imbalanced datasets: Addressing covariate shift when data is skewed
43. An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
44. Tackling the problem of classification with noisy data using Multiple Classifier Systems: Analysis of the performance and robustness
45. A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets
46. Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection
47. Shared domains of competence of approximate learning models using measures of separability of classes
48. Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning
49. Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
50. Replacement strategies to preserve useful diversity in steady-state genetic algorithms
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