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

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Intelligent Information and Database Systems: 16th Asian Conference, ACIIDS 2024, Ras Al Khaimah, UAE, April 15-18, 2024, Proceedings, Part IDidesnis paveikslėlis
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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 1518, 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.

.- 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.

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