Artificial Intelligence Applications and Innovations. AIAI 2024 IFIP WG 12.5 International Workshops PDF Download
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Author: Ilias Maglogiannis
Publisher: Springer Nature
ISBN: 3031632273
Category :
Languages : en
Pages : 512
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Book Description
Author: Ilias Maglogiannis
Publisher: Springer Nature
ISBN: 3031632273
Category :
Languages : en
Pages : 512
Get Book Here
Book Description
Author: Ilias Maglogiannis
Publisher: Springer Nature
ISBN: 3031632117
Category :
Languages : en
Pages : 397
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Book Description
Author: Ilias Maglogiannis
Publisher: Springer Nature
ISBN: 303163215X
Category :
Languages : en
Pages : 382
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Book Description
Author: Ilias Maglogiannis
Publisher: Springer Nature
ISBN: 3031341716
Category : Computers
Languages : en
Pages : 490
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Book Description
This book constitutes the refereed proceedings of four International Workshops, held as parallel events of the 19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023, held in León, Spain, during June 14–17, 2023: the 12th Workshop on Mining Humanistic Data (MHDW 2023); the 8th Workshop on “5G–Putting Intelligence to the Network Edge (5G-PINE 2023); the second Workshop on AI in Energy, Buildings and Micro-Grids Workshop (ΑΙBMG 2023); and the First Workshop on Visual Analytics Approaches for Complex Problems in Engineering and Biomedicine" (VAA-CP-EB 2023). This event was held in hybrid mode. The 37 regular papers presented at these workshops were carefully reviewed and selected from 86 submissions.
Author: Ilias Maglogiannis
Publisher: Springer Nature
ISBN: 3031632192
Category :
Languages : en
Pages : 396
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Book Description
Author: Ilias Maglogiannis
Publisher: Springer
ISBN: 9783031632105
Category : Computers
Languages : en
Pages : 0
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Book Description
This book constitutes the refereed proceedings of the 20th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2024, held in Corfu, Greece, during June 27–30, 2024. The 100 full papers and 8 short papers included in this book were carefully reviewed and selected from 213 submissions. The diverse nature of papers presented demonstrates the vitality of AI algorithms and approaches. It certainly proves the very wide range of AI applications as well.
Author: Vineeth Balasubramanian
Publisher: Newnes
ISBN: 0124017150
Category : Computers
Languages : en
Pages : 323
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Book Description
The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any real-world pattern recognition application, including risk-sensitive applications such as medical diagnosis, face recognition, and financial risk prediction. Conformal Predictions for Reliable Machine Learning: Theory, Adaptations and Applications captures the basic theory of the framework, demonstrates how to apply it to real-world problems, and presents several adaptations, including active learning, change detection, and anomaly detection. As practitioners and researchers around the world apply and adapt the framework, this edited volume brings together these bodies of work, providing a springboard for further research as well as a handbook for application in real-world problems. - Understand the theoretical foundations of this important framework that can provide a reliable measure of confidence with predictions in machine learning - Be able to apply this framework to real-world problems in different machine learning settings, including classification, regression, and clustering - Learn effective ways of adapting the framework to newer problem settings, such as active learning, model selection, or change detection
Author: Ilias Maglogiannis
Publisher: Springer Nature
ISBN: 3031083415
Category : Computers
Languages : en
Pages : 471
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Book Description
This book constitutes the refereed proceedings of five International Workshops held as parallel events of the 18th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2022, virtually and in Hersonissos, Crete, Greece, in June 2022: the 11th Mining Humanistic Data Workshop (MHDW 2022); the 7th 5G-Putting Intelligence to the Network Edge Workshop (5G-PINE 2022); the 1st workshop on AI in Energy, Building and Micro-Grids (AIBMG 2022); the 1st Workshop/Special Session on Machine Learning and Big Data in Health Care (ML@HC 2022); and the 2nd Workshop on Artificial Intelligence in Biomedical Engineering and Informatics (AIBEI 2022). The 35 full papers presented at these workshops were carefully reviewed and selected from 74 submissions.
Author: Ilias Maglogiannis
Publisher: Springer Nature
ISBN: 3031341112
Category : Computers
Languages : en
Pages : 606
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Book Description
This two-volume set of IFIP-AICT 675 and 676 constitutes the refereed proceedings of the 19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023, held in León, Spain, during June 14–17, 2023. This event was held in hybrid mode. The 75 regular papers and 17 short papers presented in this two-volume set were carefully reviewed and selected from 185 submissions. The papers cover the following topics: Deep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial); Agents/Case Based Reasoning/Sentiment Analysis; Biomedical - Image Analysis; CNN - Convolutional Neural Networks YOLO CNN; Cyber Security/Anomaly Detection; Explainable AI/Social Impact of AI; Graph Neural Networks/Constraint Programming; IoT/Fuzzy Modeling/Augmented Reality; LEARNING (Active-AutoEncoders-Federated); Machine Learning; Natural Language; Optimization-Genetic Programming; Robotics; Spiking NN; and Text Mining /Transfer Learning.
Author: Ilias Maglogiannis
Publisher: Springer Nature
ISBN: 3031341074
Category : Computers
Languages : en
Pages : 599
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Book Description
This two-volume set of IFIP-AICT 675 and 676 constitutes the refereed proceedings of the 19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023, held in León, Spain, during June 14–17, 2023. This event was held in hybrid mode. The 75 regular papers and 17 short papers presented in this two-volume set were carefully reviewed and selected from 185 submissions. The papers cover the following topics: Deep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial); Agents/Case Based Reasoning/Sentiment Analysis; Biomedical - Image Analysis; CNN - Convolutional Neural Networks YOLO CNN; Cyber Security/Anomaly Detection; Explainable AI/Social Impact of AI; Graph Neural Networks/Constraint Programming; IoT/Fuzzy Modeling/Augmented Reality; LEARNING (Active-AutoEncoders-Federated); Machine Learning; Natural Language; Optimization-Genetic Programming; Robotics; Spiking NN; and Text Mining /Transfer Learning.
