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E-grāmata: Intelligent Information and Database Systems: 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24-26, 2023, Proceedings, Part II

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This two-volume set LNAI 13995 and LNAI 13996 constitutes the refereed proceedings of the 15th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2023, held in Phuket, Thailand, during July 2426, 2023.





The 65 full papers presented in these proceedings were carefully reviewed and selected from 224 submissions. The papers of the 2 volume-set are organized in the following topical sections: Case-Based Reasoning and Machine Comprehension; Computer Vision; Data Mining and Machine Learning; Knowledge Integration and Analysis; Speech and Text Processing; and Resource Management and Optimization.
Knowledge Integration and Analysis.- A New Data Transformation and
Resampling Approach for Prediction of Yield Strength of High-Entropy Alloys.-
A Semi-Formal Approach to Describing Semantics of Data Modeling
Patterns.- Obfuscating LLVM IR with the Application of Lambda Calculus.-
Structural and Compact Latent Representation Learning on Sparse Reward
Environments.- A Survey of Explainable Artificial Intelligence Approaches for
Sentiment Analysis.- Social collective model of non-internet social
networks.- A Data-driven Scheduling Strategy for Mobile Air Quality
Monitoring Devices.- Hybrid approaches to sentiment analysis of social media
data.- Integrating Ontology-based Knowledge to Improve
BiomedicalMulti-Document Summarization Model.- An Improvement of Diachronic
Embedding for Temporal Knowledge Graph Completion.- DCA-based weighted
bagging: A new ensemble learning approach.- Deep-learning- and GCN-based
Aspect-level Sentiment Analysis Methods on Balanced and Unbalanced Datasets.-
Applying the Malmquist productivity index model to assess the performance of
the coffee enterprise in DakLak Vietnam.- A Cluster-Constrained Graph
Convolutional Network for Protein Protein Association networks.- Fuzzy logic
framework for ontology concepts alignment.- Can Ensemble Calibrated Learning
enhance Link Prediction? A Study on Commonsense Knowledge.- Multi-criteria
Approaches to Explaining Black Box Machine Learning Models.- Improving Loss
Function for Polyp Detection Problem.- Flow Plugin Network for Conditional
Generation.- Speech and Text Processing.- Investigating the Impact of
Parkinsons Disease on Brain Computations An Online Study of Healthy Controls
and PD Patients.- Speech Enhancement using Dynamical Variational
AutoEncoder.- Vietnamese Multidocument Summarization using Subgraph
Selection-based Approach with Graph-informed Self-attention mechanism.-
NegT5: A Cross-Task Text-to-Text Framework for Negation inQuestion
Answering.- An Empirical Study on Punctuation Restoration for English,
Mandarin, and Code-switching Speech.- Novel Topic Models for Parallel Topics
Extraction from Multilingual Text.- Adapting Code-Switching Language Models
with Statistical-Based Text Augmentation.- Improving Hotel Customer Sentiment
Prediction by Fusing Review Titles and Contents.- Resource management and
optimization.- In support of push-based streaming for the computing
continuum.- Effective method of implementing constrained optimization
problems using data instances.- Scheduling Deep Learning Training in GPU
Cluster Using the Model-similarity-based Policy.
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