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Intelligent Information and Database Systems 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24-26, 2023, Proceedings, Part I
Title
Intelligent Information and Database Systems [electronic resource] : 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24-26, 2023, Proceedings, Part I / edited by Ngoc Thanh Nguyen, Siridech Boonsang, Hamido Fujita, Bogumiła Hnatkowska, Tzung-Pei Hong, Kitsuchart Pasupa, Ali Selamat.
ISBN
9789819958344
Edition
1st ed. 2023.
Publication
Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Physical Description
1 online resource (XXVII, 449 p.) 146 illus., 115 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
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Printed edition:
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Format
Books / Online
Language
English
Added to Catalog
September 19, 2023
Series
Lecture Notes in Artificial Intelligence, 13995
Contents
Case-Based Reasoning and Machine Comprehension
On the improvement of the reasoning cycle in case-based reasoning
Exploring incompleteness in Case-Based Reasoning: a strategy for overcoming challenge
Leveraging both Successes and Failures in Case-Based Reasoning for Optimal Solutions
Transfer Learning for Abnormal Behaviors Identification in Examination Room from Surveillance Videos: A Case Study in Vietnam
A Novel Question-Context Interaction Method for Machine Reading Comprehension
Granular Computing to Forecast Alzheimer's Disease Distinctive Individual Development
Computer Vision
AdVLO: Region selection via Attention-driven for Visual LiDAR Odometry
Intelligent Retrieval System on Legal Information
VSNet: Vehicle State Classification for Drone Image with Mosaic Augmentation and Soft-label Assignment
Creating High-Resolution Adversarial Images against Convolutional Neural Networks with the Noise Blowing-Up Method
Faster Imputation Using Singular Value Decomposition for Sparse Data
Combination of deep learning and ambiguity rejection for improving image-based disease diagnosis
Data Mining and Machine Learning
Towards Developing an Automated Chatbot for Predicting Legal Case Outcomes: A Deep Learning Approach
Fuzzy-Based Factor Evaluation System for Momentum Overweight Trading Strategy
Enhancing Abnormal-Behavior-based Stock Trend Prediction Algorithm with Cost-sensitive Learning Using Genetic Algorithms
Leveraging Natural Language Processing in Persuasive Marketing
Direction of the Difference between Bayesian Model Averaging and the Best-Fit Model on Scarce-Data Low-Correlation Churn Prediction
Tree-based Unified Temporal Erasable-itemset Mining
Design Recovery of Data Model Hidden in JSON File
Accurate lightweight calibration methods for mobile low-cost particulate matter sensors
Generating music for video games with real-time adaptation to gameplay pace
Detecting Sensitive Data with GANs and Fully Convolutional Networks
An Unsupervised Deep Learning Framework for Anomaly Detection
Extracting top-k high utility patterns from multi-level transaction databases
Lightweight and Efficient Privacy-Preserving Multimodal Representation Inference via Fully Homomorphic Encryption
Neural Machine Translation with Diversity-enabled Translation Memory
GIFT4Rec: An effective side Information Fusion Technique apply to Graph neural network for cold-start recommendation
A Decision Support System for Improving Lung Cancer Prediction based on ANN
Emotion detection from text in social networks
Finite Libby-Novick Beta Mixture Model: An MML-Based Approach
Artificial Intelligences on Automated Context-Brain Recognition with Mobile Detection Devices
A Novel Meta-Heuristic Search Based on Mutual Information for Filter-Based Feature Selection
Discovering prevalent co-location patterns without collecting co-location instances
Integrating Geospatial Tools for Air Pollution Prediction: A Synthetic City Generator Framework for Efficient Modeling and Visualization
Design of an Automated CNN Composition Scheme with Lightweight Depth-Correlated Convolution for Space-Limited Applications.
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