Intelligent Information and Database Systems 16th Asian Conference, ACIIDS 2024, Ras Al Khaimah, UAE, April 15-18, 2024, Proceedings, Part I / [electronic resource] :
edited by Ngoc Thanh Nguyen, Richard Chbeir, Yannis Manolopoulos, Hamido Fujita, Tzung-Pei Hong, Le Minh Nguyen, Krystian Wojtkiewicz.
- 1st ed. 2024.
- XXVIII, 321 p. 96 illus., 80 illus. in color. online resource.
- Lecture Notes in Artificial Intelligence, 14795 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 14795 .
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.
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.
9789819749829
10.1007/978-981-97-4982-9 doi
Computer science.
Computer Science.
QA75.5-76.95
004
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.
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.
9789819749829
10.1007/978-981-97-4982-9 doi
Computer science.
Computer Science.
QA75.5-76.95
004