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Nguyen, Ngoc Thanh.
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Intelligent information and database systems = 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24-26, 2023 : proceedings.. Part II /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Intelligent information and database systems/ edited by Ngoc Thanh Nguyen ... [et al.].
其他題名:
15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24-26, 2023 : proceedings.
其他題名:
ACIIDS 2023
其他作者:
Nguyen, Ngoc Thanh.
團體作者:
Asian Conference on Intelligent Information and Database Systems
出版者:
Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:
xxviii, 377 p. :ill. (some col.), digital ;24 cm.
內容註:
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 Biomedical Multi-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 Parkinson's 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 in Question 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.
Contained By:
Springer Nature eBook
標題:
Artificial intelligence - Congresses. -
電子資源:
https://doi.org/10.1007/978-981-99-5837-5
ISBN:
9789819958375
Intelligent information and database systems = 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24-26, 2023 : proceedings.. Part II /
Intelligent information and database systems
15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24-26, 2023 : proceedings.Part II /[electronic resource] :ACIIDS 2023edited by Ngoc Thanh Nguyen ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xxviii, 377 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,139960302-9743 ;. - Lecture notes in computer science ;13996..
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 Biomedical Multi-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 Parkinson's 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 in Question 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.
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 24-26, 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.
ISBN: 9789819958375
Standard No.: 10.1007/978-981-99-5837-5doiSubjects--Topical Terms:
606815
Artificial intelligence
--Congresses.
LC Class. No.: Q334
Dewey Class. No.: 006.3
Intelligent information and database systems = 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24-26, 2023 : proceedings.. Part II /
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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 Biomedical Multi-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 Parkinson's 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 in Question 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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