Artificial intelligence applications and innovations : 19th IFIP WG 12.5 International Conference, AIAI 2023, León, Spain, June 14-17, 2023, Proceedings. Part II / Ilias Maglogiannis, Lazaros Iliadis, John MacIntyre, Manuel Dominguez, editors.
2023
Q334 .I35 2023eb
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Title
Artificial intelligence applications and innovations : 19th IFIP WG 12.5 International Conference, AIAI 2023, León, Spain, June 14-17, 2023, Proceedings. Part II / Ilias Maglogiannis, Lazaros Iliadis, John MacIntyre, Manuel Dominguez, editors.
Meeting Name
IFIP TC12 WG12.5--IFIP Conference on Artificial Intelligence Applications and Innovations (19th : 2023 : Léon, Spain)
ISBN
9783031341076 (electronic bk.)
3031341074 (electronic bk.)
9783031341069
3031341074 (electronic bk.)
9783031341069
Published
Cham : Springer, 2023.
Language
English
Description
1 online resource (xxxvii, 582 pages) : illustrations (some color).
Item Number
10.1007/978-3-031-34107-6 doi
Call Number
Q334 .I35 2023eb
Dewey Decimal Classification
006.3
Summary
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.
Note
Includes author index.
Bibliography, etc. Note
References -- CaTabRa: Efficient Analysis and Predictive Modeling of Tabular Data -- 1 Introduction -- 1.1 Related Work -- 2 The CaTabRa System -- 2.1 General Workflow -- 2.2 Model Training and Hyperparameter Tuning: AutoML -- 2.3 Performance Reports -- 2.4 Model Explanations -- 2.5 Out-of-Distribution Detection -- 2.6 Utilities for Working with Longitudinal Data -- 3 Use-Cases -- 3.1 Use-Case 1: COVID-19 Prediction -- 3.2 Use-Case 2: ICU Mortality Prediction -- 4 Conclusion -- References -- Explaining Machine Learning-Based Feature Selection of IDS for IoT and CPS Devices -- 1 Introduction
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed June 8, 2023).
Added Author
Maglogiannis, Ilias G., editor.
Iliadis, Lazaros S., editor.
Macintyre, John (Computer scientist), editor.
Dominguez, Manuel, editor.
Iliadis, Lazaros S., editor.
Macintyre, John (Computer scientist), editor.
Dominguez, Manuel, editor.
Series
IFIP advances in information and communication technology ; 676. 1868-422X
Available in Other Form
Artificial Intelligence Applications and Innovations
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Table of Contents
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.
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.