Honda / Pannakkong / Ho Integrated Uncertainty in Knowledge Modelling and Decision Making

12th International Symposium, IUKM 2026, Quy Nhon Nam, Gia Lai, Vietnam, September 14–17, 2026, Proceedings, Part I
Erscheinungsjahr 2026
ISBN: 978-981-9256-41-9
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 548 Seiten

Reihe: Computer Science (R0)

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

Autoren/Hrsg.

Honda, Katsuhiro

Pannakkong, Warut

Ho, Van Lam

Inuiguchi, Masahiro

Nguyen, Thanh Thuy

Tran, Minh-Triet

Huynh, Van-Nam

Inhaltsverzeichnis

.- Invited Talks

.- An Algebraic Approach for Linguistic Information Discovery and Human Like Decision Making.
.- Social Multimodal Intelligence: From Human Understanding to Social Understanding and Decision Making.
.- The Relationship between Tensor Factorizations and Circuits.
.- Adaptive Resonance Theory-based Clustering and its Extensions.
.- The Rising Threat of Voice Spoofing: Evolution of Detection in the Era of AI-Generated Speech.
.- Some Topics on Fundamentals of Data Science.

.- Machine Learning

.- ResUNet50-ASPP: Transfer Learning with Multi-Scale Context for Semantic Segmentation of Mesenchymal Stem Cell Micrographs.
.- HIQI-MLP: Hybrid Interlaced Quantum-Izhikevich Multilayer Perceptron.
.- U2Net: A Unified Uncertainty-Guided Network with Evidential Deep Learning for Robust Building Extraction from High-Resolution Remote Sensing Images.
.- Temporal Transformer Backbones for Offline Imitation Learning.
.- FROG: Fuzzy Reasoning Over Graphs for Robust Visual Question Answering.
.- Evidential Explanation Fusion: A Dempster-Shafer Framework for Reconciling Feature Attributions.
.- Parallel CNN-Transformer with Adaptive Vector Fusion for Malware Image Classification.
.- FLARE: Forward-only Local Learning via Anticipatory Residual Eligibility for Spiking Neural Networks.
.- A Multimodal Deep Learning Framework for Breast Cancer Receptor Status Prediction.
.- A Generalization of the Evidential Neural Network based on T-Contextual Discounting.
.- D-GDA: Dopamine-Gated Differential Attention for Time-Series Anomaly Detection.
.- Effects of Skeleton Gait Normalization and Dynamic Motion Features on Deep Learning Performance.
.- Hybrid Physics–Machine Learning Framework for Parameter Extraction in Hole-Only Devices.
.- Training-Free Geometric Rectification Framework for Extreme Few-Shot Satellite Image Classification.
.- Physics-Informed Neural Networks for Predicting Temperature Distribution and Crater Geometry of Single Discharge Spark in Electric Discharge Machining.
.- IPEM: Input Perturbation-based Explanation Method for Deep Learning Models on Image Data.

.- Security and Privacy in Machine Learning

.- A NIST-Aligned Post-Quantum Secure Aggregation Method for Federated Learning.
.- Energy-Aware Heterogeneous LoRA Federated Fine-Tuning for UAV-Assisted Remote Sensing.
.- Privacy-Preserving Multi-Source Forensic Evidence Fusion via Hybrid Homomorphic Encryption and Attention Mechanisms.
.- Towards Zero-Trust Digital Forensics: Automated Workflow Orchestration and Immutable Chain of Custody on Hyperledger Fabric.
.- A Hardware-Aware Multi-objective Design of 5-bit S-box Based on Piecewise and Coupled Chaotic Maps for Lightweight Cryptography.
.- A Lightweight and Tight-Binding Post-Quantum Authenticated Key Exchange for IoT using ML-KEM.
.- Combining Rules and Language Models: A Cascaded Multi-Stage Architecture for Phishing Email Detection.
.- Priv-ICF: A Novel Framework for Privacy-Preserving Item-Based Collaborative Filtering in Fully Distributed Data Model.
.- Fed-M3: Multi-Scale Nested Optimization for Non-IID Federated Learning.

.- Machine Learning Applications

.- Apply Causal Generative Neural Networks to Detection of Factors Causing Stroke.
.- A Study on Enhancing the Performance of Infant Cry Classification Models Using Generative AI.
.- Optimized CNN Architectures for Binary and Three-Class Chest X-ray Image Classification.
.- LaoSA: A Benchmark for Lao Sentiment Analysis.
.- A GCN–Based Positive–Unlabeled Learning Framework with k–Means Reliable Negative Mining for Drug–Disease Association Prediction.
.- Inductive Behavioral Graph Learning for Smart Contract Vulnerability Detection in Sustainable DeFi Ecosystems.
.- A Two-Level Major-Context Framework for Day-One Student Dropout Prediction Using Entrance Data.
.- Selective Intrusion Detection via Cost-Sensitive Three-Way Decision and Variational Autoencoders.
.- A Turn-Based Strategy Research Platform for AI Benchmark.
.- A Multi-Stage Retrieval-Augmented Generation Pipeline for Educational Question Answering on MOOC Platforms.
.- Detecting AI-Generated Vietnamese Essays with Calibrated Uncertainty and Explainable AI.
.- Enhanced CLIP-Based Model for VQA with Cross-Attention and Multimodal Fusion on the VizWiz Dataset. 
.- DADA: A Domain-Adapted Autoencoder for Cell-Type Deconvolution in Pediatric T-ALL Liquid Biopsy.
.- Score-Level Contrastive Learning for Pure Item Cold-Start Recommendation.
.- Modeling Glucose–Insulin through PDE Formulated Diffusion Dynamics.
.- Conflict Across Coarsenings: A Hierarchical DST Diagnostic for ATC Drug Normalization.
.- EduBot4Cse: A Policy-Guided Multimodal RAG Framework for Vietnamese Comprehensive Sexuality Education.