Buch, Englisch, 527 Seiten, Format (B × H): 155 mm x 235 mm
12th International Symposium, IUKM 2026, Quy Nhon Nam, Gia Lai , Vietnam, September 14–17, 2026, Proceedings, Part II
Buch, Englisch, 527 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-981-9256-43-3
Verlag: Springer
This book constitutes the refereed proceedings of the 12th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2026, held in hybrid mode in Quy Nhon City, Vietnam, during September 14–17, 2026.
The 85 full papers in this book were carefully reviewed and selected from 151 submissions. They were organized in topical sections as follows:
Part I: Invited Talks; Machine Learning;Security and Privacy in Machine Learning and Machine Learning Applications
Part II: Uncertainty Management and Decision Making; Pattern Recognition and Data Analysis; Language Models and Optimization and Statistical Methods.
Zielgruppe
Research
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Weitere Infos & Material
.- Uncertainty Management and Decision Making
.- Bayesian Network Inference for Resolving Uncertainty in Financial Depth Stability Links.
.- A Representation-Driven Three-way Decision Model Using Fuzzy Covering Rough Sets.
.- A Meta-Heuristic Optimization Framework for Mapper-Based Rough Set Parameter Selection.
.- Assessing Team Structural Balance with Efficiency Intervals.
.- A Consideration for Recognizing Data Dependency in Tabular Data with Uncertainty Using the Obtained Rules.
.- Decision Analysis with Hesitation Visualization under Interval Priority Weight Vector.
.- Non-Uniform Augmentation Gains and the Limits of Uncertainty Guided Targeting in Vietnamese Sentiment Classification.
.- SpectralTFT-U: Mitigating Uncertainty Drift and Overconfidence in Long-Horizon Financial Forecasting via Frequency-Domain Regularization.
.- Completion-Based Interval Priority Weight Estimation for Incomplete Pairwise Comparison Matrices.
.- Pattern Recognition and Data Analysis
.- An upper-bound-guided silhouette framework for estimating the optimal number of clusters in categorical data clustering.
.-
A Data Science Framework for Assessing Village Development and Sustainable Development Goals: A Case Study from West Java, Indonesia.
.- FlashDiff: Accelerated and Guided Image Synthesis.
.- Exponentiated Rough C-Means Clustering Based on a Distance Exponent.
.- On Masi Divergence-based Fuzzy c-means Clustering.
.- Camouflaged Semantic Partitioning: A Context-Aware Data Augmentation Framework for Camouflaged Object Detection Using Heterogeneous Feature Fusion.
.- Abstract Reasoning-Driven Prediction and Root Cause Discovery of Device Incidents in Core Internet Infrastructure.
.- Uncertainty-Aware Cross-Dataset Glaucoma Detection via Adaptive Fourier-Style Mixing and Calibrated Domain-Invariant Learning.
.- Skeleton Extraction from Incomplete Cave Point Clouds Using ROSA and Topological Clustering.
.- Enhancing Iris Verification Efficiency and Accuracy with Template Vote Fusion.
.- Fusion of Time–Frequency Representations and Texture Descriptors for Heart Sound Classification.
.- Two-Stage Framework with PCA-Based Feature Representation for Coral Bleaching Prediction.
.- An Efficient Algorithm for Mining High Average-Efficiency Patterns over Data Streams.
.- An Integrated Cluster-Based Storage Allocation and Heuristic Routing Framework for Reducing Order Picking Distance in a Pet Product Warehouse.
.- Effectively Discovering Co-location Patterns Including Rare Features from Spatial Data using Log-Adaptive Rare Feature Weighting.
.- Adaptive Intuitionistic Fuzzy K-Nearest Neighbors for Software Defect Prediction.
.- Language Models
.- Light-MFND: Efficient Multimodal Fake News Detection via Fine-Tuned Small Vision-Language Model.
.- Internal Representation Inspection for LLM Self-Calibration via Multi-Source Evidence Fusion.
.- A Hybrid LLM-OCR Approach for Cost-Aware Warehouse Product Verification.
.- GRI-Aligned Sustainability Reporting Assessment via Knowledge Graph-RAG and LLM-based Question-Answering: A Case Study of Vietnamese Banks.
.- Optimization and Statistical Methods
.- eOptimization Framework for Smart Warehouse Bin Assignment: Bayesian Optimization with APP Sample Planning and Gain-Probability Evaluation.
.- On the Robustness of Stable Marriage under Random Preference Perturbations.
.- Volatility Forecasting in the Bitcoin Market with LSTM–Realized Range GARCH Model.
.- Classification and Switching-Based Method Proposal of Various Optimization Algorithms under Evaluation Budget Constraints.
.- Applications
.- Climate Risk and Agricultural Resilience in Asia: Evidence from Crop and Livestock Production.
.- Tesla Stock Price Prediction through MFCC Feature Extraction and LSTM Modeling.
.- Policy Participation and Technology Adoption under Uncertainty: Evidence from Rice Farmers in Northern Thailand.
.- Digital Development, Regional Income Disparities, and Provincial Poverty Lines: Evidence from Thailand.
.- An explainable machine learning framework for early warning of corporate financial distress: Evidence from an emerging market.
.- Asymmetric Income and Price Elasticities of Energy Demand Across Stages of the Energy Trilemm.
.- An empirical assessment of factors influencing urban residents? intention to use electric motorcycles: evidence from Ho Chi Minh City based on an extended TPB-TAM model.
.- Financial Development and Inequality in the United States: The Role of Social Protection in Nonlinear Distributional Dynamics.
.- The Role of Political Stability and Corruption in Shaping Energy Intensity in Asia.
