269 results on '"Nápoles, Gonzalo"'
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2. Advanced Learning Algorithm to Create FCM Models From Quantitative Data
3. Introduction to Fuzzy Cognitive Map-Based Classification
4. Addressing Accuracy Issues of Fuzzy Cognitive Map-Based Classifiers
5. Principles of Simulations with FCMs
6. Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps
7. Model Selection Using Graph Neural Networks
8. Sparseness-Optimized Feature Importance
9. Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps
10. Weighted t-Distributed Stochastic Neighbor Embedding for Projection-Based Clustering
11. Feature Importance for Clustering
12. Presumably Correct Undersampling
13. Which is the best model for my data?
14. Multi-objective hyperparameter optimization with performance uncertainty
15. Weighted t-Distributed Stochastic Neighbor Embedding for Projection-Based Clustering
16. Feature Importance for Clustering
17. Presumably Correct Undersampling
18. A revised cognitive mapping methodology for modeling and simulation
19. ExplainLFS: Explaining neural architectures for similarity learning from local perturbations in the latent feature space
20. Backpropagation through time learning for recurrence-aware long-term cognitive networks
21. Forward Composition Propagation for Explainable Neural Reasoning
22. Modeling Implicit Bias with Fuzzy Cognitive Maps
23. Prolog-based agnostic explanation module for structured pattern classification
24. Measuring Wind Turbine Health Using Drifting Concepts
25. FCMpy: A Python Module for Constructing and Analyzing Fuzzy Cognitive Maps
26. A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets
27. Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification
28. Online learning of windmill time series using Long Short-term Cognitive Networks
29. Long Short-term Cognitive Networks
30. School dropout prediction and feature importance exploration in Malawi using household panel data: machine learning approach
31. REPROT: Explaining the predictions of complex deep learning architectures for object detection through reducts of an image
32. On the interpretability of Fuzzy Cognitive Maps
33. Presumably correct decision sets
34. Long short-term cognitive networks
35. Prolog-based agnostic explanation module for structured pattern classification
36. Skipped Nonsynaptic Backpropagation for Interval-valued Long-term Cognitive Networks
37. Best Next Preference Prediction Based on LSTM and Multi-level Interactions
38. Short-term Cognitive Networks, Flexible Reasoning and Nonsynaptic Learning
39. Online learning of windmill time series using Long Short-term Cognitive Networks
40. Normalization method for quantitative and qualitative attributes in multiple attribute decision-making problems
41. Measuring wind turbine health using fuzzy-concept-based drifting models
42. Modeling implicit bias with fuzzy cognitive maps
43. Bias Quantification for Protected Features in Pattern Classification Problems
44. Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections
45. Evolving Recurrent Neural Networks for Pattern Classification
46. Evaluating time series similarity using concept-based models
47. Skipped Nonsynaptic Backpropagation for Interval-valued Long-term Cognitive Networks
48. Multi-objective Hyperparameter Optimization with Performance Uncertainty
49. Forward Composition Propagation for Explainable Neural Reasoning
50. Fuzzy Cognitive Modeling: Theoretical and Practical Considerations
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