Fr. 103.00

Intelligent Information and Database Systems - 16th Asian Conference, ACIIDS 2024, Ras Al Khaimah, UAE, April 15-18, 2024, Proceedings, Part I

English · Paperback / Softback

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This two-volume set constitutes the refereed proceedings of the 16th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2024, held in Ras Al Khaimah, UAE, during April 15-18, 2024.
The 57 full papers presented in these proceedings were carefully reviewed and selected from 251 submissions. The papers of the 2 volume-set are organized in the following topical sections: 
Part I: advanced data analysis methods; AI-driven cybersecurity and medical solutions; application of generative models; computational intelligence.
Part II: data modelling and smart information systems; image and video processing; machine learning algorithms in theory and practice; prediction and recommendation systems; text, speech and natural language processing.

List of contents

.- Advanced Data Analysis Methods.
.- Continual AE-WGAN for Unsupervised Anomaly Detection in Streaming Data.
.- Energy Measurement System for Data Lake: An Initial Approach.
.- CDER: Collaborative Evidence Retrieval for Document-level Relation Extraction.
.- Stochastic approaches for criteria weight identification in multi-criteria decision analysis.
.- Exploring Data Preparation Modules by Examples.
.- A novel approach to the use of explainability to mine network intrusion detection rules`.
.- AI-driven Cybersecurity And Medical Solutions.
.- IDRF: An Improved Dynamic Random Forest Approach for Blockchain Time Series Data Classification.
.- Oral Diseases Recognition Based on Photographic Images and Dental Decay Diagnosis.
.- Multifaceted ECG Feature Extraction for AFIB Detection: Using Traditional Machine Learning Techniques.
.- Automation of the analysis of medical interviews to improve diagnoses using NLP for medicine.
.- Application of Generative Models.
.- FramedTruth: A Frame-based Model Utilising Large Language Models for Misinformation Detection.
.- Named Entity Recognition Model for Polish Books.
.- Building the ArabNER Corpus for Arabic Named Entity Recognition Using ChatGPT and Bard.
.- Professionally Diverse: AI-Generated Faces for Targeted Advertising.
.- Optimizing Neural Topic Modelling Pipelines for Low-quality Speech Transcriptions.
.- OrphaGPT : An Adapted Large Language Model for Orphan Diseases Classification.
.- Computational Intelligence.
.- A Novel Dynamic Programming Method for Non-Parametric Data Discretization.
.- Framework to Merge Possibilistic Belief Bases.
.- Game-theory Based Voting Schemas for Ensemble of Classifiers.
.- RECALL: Towards Generalized Representations in Unsupervised Federated Learning under Non-IID Conditions.
.- Predicting Epidemic Outbreak using Climatic factors.
.- A novel approach utilizing local criteria weights for multi-criteria evaluation within the SPOTIS method.
.- Masked Face-Landmark Prediction with Mask-Coefficient.
.- Federated Erasable-itemset Mining with Quasi-erasable Itemsets.
.- An Optimization Approach for Finding Diverse Trading Strategy Portfolio Using the Memetic Algorithm.
.- Advanced Data Analysis Methods.
.- Continual AE-WGAN for Unsupervised Anomaly Detection in Streaming Data.
.- Energy Measurement System for Data Lake: An Initial Approach.
.- CDER: Collaborative Evidence Retrieval for Document-level Relation Extraction.
.- Stochastic approaches for criteria weight identification in multi-criteria decision analysis.
.- Exploring Data Preparation Modules by Examples.
.- A novel approach to the use of explainability to mine network intrusion detection rules`.
.- AI-driven Cybersecurity And Medical Solutions.
.- IDRF: An Improved Dynamic Random Forest Approach for Blockchain Time Series Data Classification.
.- Oral Diseases Recognition Based on Photographic Images and Dental Decay Diagnosis.
.- Multifaceted ECG Feature Extraction for AFIB Detection: Using Traditional Machine Learning Techniques.
.- Automation of the analysis of medical interviews to improve diagnoses using NLP for medicine.
.- Application of Generative Models.
.- FramedTruth: A Frame-based Model Utilising Large Language Models for Misinformation Detection.
.- Named Entity Recognition Model for Polish Books.
.- Building the ArabNER Corpus for Arabic Named Entity Recognition Using ChatGPT and Bard.
.- Professionally Diverse: AI-Generated Faces for Targeted Advertising.
.- Optimizing Neural Topic Modelling Pipelines for Low-quality Speech Transcriptions.
.- OrphaGPT : An Adapted Large Language Model for Orphan Diseases Classification.
.- Computational Intelligence.
.- A Novel Dynamic Programming Method for Non-Parametric Data Discretization.
.- Framework to Merge Possibilistic Belief Bases.
.- Game-theory Based Voting Schemas for Ensemble of Classifiers.
.- RECALL: Towards Generalized Representations in Unsupervised Federated Learning under Non-IID Conditions.
.- Predicting Epidemic Outbreak using Climatic factors.
.- A novel approach utilizing local criteria weights for multi-criteria evaluation within the SPOTIS method.
.- Masked Face-Landmark Prediction with Mask-Coefficient.
.- Federated Erasable-itemset Mining with Quasi-erasable Itemsets.
.- An Optimization Approach for Finding Diverse Trading Strategy Portfolio Using the Memetic Algorithm.

Product details

Assisted by Richard Chbeir (Editor), Hamido Fujita (Editor), Tzung-pei Hong (Editor), Yannis Manolopoulos (Editor), Yannis Manolopoulos et al (Editor), Le Minh Nguyen (Editor), Ngoc Thanh Nguyen (Editor), Krystian Wojtkiewicz (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 16.07.2024
 
EAN 9789819749812
ISBN 978-981-9749-81-2
No. of pages 321
Dimensions 155 mm x 19 mm x 235 mm
Weight 534 g
Illustrations XXVIII, 321 p. 96 illus., 80 illus. in color.
Series Lecture Notes in Computer Science
Lecture Notes in Artificial Intelligence
Subject Natural sciences, medicine, IT, technology > IT, data processing > General, dictionaries

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