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3652.1-2020 - IEEE guide for architectural framework and application of federated machine learning / / IEEE
| 3652.1-2020 - IEEE guide for architectural framework and application of federated machine learning / / IEEE |
| Pubbl/distr/stampa | [Place of publication not identified] : , : IEEE, , 2021 |
| Descrizione fisica | 1 online resource |
| Disciplina | 006.3 |
| Soggetto topico |
Computational intelligence - Simulation methods
Machine learning - Mathematical models |
| ISBN | 1-5044-7053-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910445559703321 |
| [Place of publication not identified] : , : IEEE, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
3652.1-2020 - IEEE guide for architectural framework and application of federated machine learning / / IEEE
| 3652.1-2020 - IEEE guide for architectural framework and application of federated machine learning / / IEEE |
| Pubbl/distr/stampa | [Place of publication not identified] : , : IEEE, , 2021 |
| Descrizione fisica | 1 online resource |
| Disciplina | 006.3 |
| Soggetto topico |
Computational intelligence - Simulation methods
Machine learning - Mathematical models |
| ISBN | 1-5044-7053-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996574668003316 |
| [Place of publication not identified] : , : IEEE, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in computational collective intelligence : 14th International Conference, ICCI 2022, Hammamet, Tunisia, September 28-30, 2022, proceedings / / Costin Bădică [and four others]
| Advances in computational collective intelligence : 14th International Conference, ICCI 2022, Hammamet, Tunisia, September 28-30, 2022, proceedings / / Costin Bădică [and four others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer International Publishing, , [2022] |
| Descrizione fisica | 1 online resource (741 pages) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computational intelligence
Computational intelligence - Simulation methods |
| ISBN | 3-031-16210-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996490359403316 |
| Cham, Switzerland : , : Springer International Publishing, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Combating fake news with computational intelligence techniques / / Mohamed Lahby [and three others]
| Combating fake news with computational intelligence techniques / / Mohamed Lahby [and three others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer International Publishing, , [2021] |
| Descrizione fisica | 1 online resource (432 pages) : illustrations (chiefly color) |
| Disciplina | 006.3 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence - Simulation methods
Fake news - Social aspects |
| ISBN | 3-030-90087-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: State-of-the-art --Online Fake News Detection Using Machine Learning Techniques: A Systematic Mapping Study --Using Artificial Intelligence against the Phenomenon of Fake News: a Systematic Literature Review --Fake news detection in internet using deep learning: A review --Part II: Machine Learning Techniques and Fake News --Early Detection of Fake News from Social Media Networks using Computational Intelligence Approaches --Fandet Semantic Model: An OWL Ontology for Context-Based Fake News Detection on Social Media --Fake News Detection using Machine Learning and Natural Language Processing --Fake News Detection using Ensemble Learning and Machine Learning Algorithms --Evaluation of Machine Learning Methods for Fake News Detection --Credibility and Reliability News Evaluation Based on Artificial Intelligent Service with Feature Segmentation Searching and Dynamic Clustering --Deep Learning with Self-Attention Mechanism for Fake News Detection --Modeling and solving the fake news detection scheduling problem --Part III: Case Studies and Frameworks --The multiplier effect on the dissemination of false speeches on social networks: Experiment during the silly season in Spain --Detecting News Influence in a Country: One Step Forward Towards Understanding Fake News --Factors Affecting the Intention of Using Fintech Services in the Context of Combating of Fake News --Crowd Sourcing and Blockchain-based Incentive Mechanism to Combat Fake News --Framework for Fake News Classification using Vectorization and Machine Learning --Fact Checking: An Automatic end to end Fact Checking System --Part IV: Fake news and Covid-19 pandemic --False Information in a Post Covid-19 World --Applying Fuzzy Logic and Neural Network in Sentiment Analysis for fake news detection: Case of Covid-19 --Analyzing Deep Learning Optimizers for COVID-19 Fake News Detection --Detecting Fake News On COVID-19 Vaccine from YouTube Videos Using Advanced Machine Learning Approaches. |
| Record Nr. | UNINA-9910523764803321 |
| Cham, Switzerland : , : Springer International Publishing, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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