363 results on '"Herrera, Francisco"'
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2. Power management of an off-grid photovoltaic system using a linear algebra based control
3. On-line linguistic Decision Support System based on Citizen Crowd Decision Making
4. Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions
5. General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance
6. Facile sonochemical synthesis of nanostructured FeWO4-rGO and CuCo2O4 nanocomposite for high-rate capability and stable asymmetric (CuCo2O4//FeWO4-rGO) supercapacitors
7. Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series
8. Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness
9. Design and consensus content validity of the questionnaire for b-learning education: A 2-Tuple Fuzzy Linguistic Delphi based Decision Support Tool
10. Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
11. Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation
12. Generalizing max pooling via [formula omitted]-grouping functions for Convolutional Neural Networks
13. Explainable Crowd Decision Making methodology guided by expert natural language opinions based on Sentiment Analysis with Attention-based Deep Learning and Subgroup Discovery
14. Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study
15. Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges
16. A framework for adapting online prediction algorithms to outlier detection over time series
17. Dynamic defense against byzantine poisoning attacks in federated learning
18. Backdoor attacks-resilient aggregation based on Robust Filtering of Outliers in federated learning for image classification
19. Human pose estimation for mitigating false negatives in weapon detection in video-surveillance
20. Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions
21. A least square support vector machine approach based on bvRNA-GA for modeling photovoltaic systems
22. EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case
23. A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges
24. Democratic consensus reaching process for multi-person multi-criteria large scale decision making considering participants’ individual attributes and concerns
25. A prescription of methodological guidelines for comparing bio-inspired optimization algorithms
26. ADOPS: Aspect Discovery OPinion Summarisation Methodology based on deep learning and subgroup discovery for generating explainable opinion summaries
27. An interval type-2 fuzzy Kano-prospect-TOPSIS based QFD model: Application to Chinese e-commerce service design
28. Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms
29. Measuring volatility based on ordered weighted average operators: The case of agricultural product prices
30. A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems
31. Fuzzy k-nearest neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise
32. 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
33. Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges
34. A tutorial on distance metric learning: Mathematical foundations, algorithms, experimental analysis, prospects and challenges
35. MonuMAI: Dataset, deep learning pipeline and citizen science based app for monumental heritage taxonomy and classification
36. Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial intelligence
37. Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy
38. A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities
39. Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects
40. Incremental learning model inspired in Rehearsal for deep convolutional networks
41. Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
42. MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. Ensembles overview and proposal
43. An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges
44. An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges
45. Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective
46. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
47. Object Detection Binary Classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance
48. Predicting literature’s early impact with sentiment analysis in Twitter
49. Deep learning in video multi-object tracking: A survey
50. Study about an assembly of iron(III) hexacyanoferrate(II) and α-Fe2O3 as a secondary photocell: Part 1. Synthesis, characterization and photoelectrochemical properties of FTO/α-Fe2O3/KFe[Fe(CN)6]3 electrode system
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