43 results on '"Herrera, Francisco"'
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2. Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions
3. General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance
4. Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series
5. Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
6. Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation
7. Generalizing max pooling via [formula omitted]-grouping functions for Convolutional Neural Networks
8. Explainable Crowd Decision Making methodology guided by expert natural language opinions based on Sentiment Analysis with Attention-based Deep Learning and Subgroup Discovery
9. Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges
10. Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions
11. EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case
12. A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges
13. Democratic consensus reaching process for multi-person multi-criteria large scale decision making considering participants’ individual attributes and concerns
14. Sentiment Analysis based Multi-Person Multi-criteria Decision Making methodology using natural language processing and deep learning for smarter decision aid. Case study of restaurant choice using TripAdvisor reviews
15. Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges
16. Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial intelligence
17. Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy
18. A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities
19. Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects
20. MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. Ensembles overview and proposal
21. An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges
22. Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective
23. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
24. General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance
25. Consensus evolution networks: A consensus reaching tool for managing consensus thresholds in group decision making
26. An overview on managing additive consistency of reciprocal preference relations for consistency-driven decision making and fusion: Taxonomy and future directions
27. Consensus model for large-scale group decision making based on fuzzy preference relation with self-confidence: Detecting and managing overconfidence behaviors
28. An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges
29. Social network analysis-based conflict relationship investigation and conflict degree-based consensus reaching process for large scale decision making using sparse representation
30. A binocular image fusion approach for minimizing false positives in handgun detection with deep learning
31. Score-HeDLiSF: A score function of hesitant fuzzy linguistic term set based on hesitant degrees and linguistic scale functions: An application to unbalanced hesitant fuzzy linguistic MULTIMOORA
32. A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines
33. Consensus vote models for detecting and filtering neutrality in sentiment analysis
34. Distinguishing between facts and opinions for sentiment analysis: Survey and challenges
35. Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce
36. Double hierarchy hesitant fuzzy linguistic term set and MULTIMOORA method: A case of study to evaluate the implementation status of haze controlling measures
37. NMC: nearest matrix classification – A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem
38. Personalized individual semantics in computing with words for supporting linguistic group decision making. An application on consensus reaching
39. DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases
40. INFFC: An iterative class noise filter based on the fusion of classifiers with noise sensitivity control
41. Consensus under a fuzzy context: Taxonomy, analysis framework AFRYCA and experimental case of study
42. Information fusion for affective computing and sentiment analysis
43. Information Fusion: Greetings from the new Editor-in-Chief
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