AI 2025: Advances in Artificial Intelligence (eBook, PDF)

38th Australasian Joint Conference on Artificial Intelligence, AI 2025, Canberra, ACT, Australia, December 1-5, 2025, Proceedings, Part I
Redaktion: Liu, Miaomiao; Song, Yiliao; Xu, Chang; Yu, Xin

• Format: PDF

Produktbeschreibung

This two-volume set LNAI 16370-16371 constitutes the refereed proceedings of the 38th Australasian Joint Conference on Artificial Intelligence, AI 2025, held in Canberra, ACT, Australia, during December 1-5, 2025.

The 73 full papers presented together with 1 short papers were carefully reviewed and selected from 152 submissions. They were organized in following topical section:

Part I : Language and Foundation Models and Knowledge Representation and Data Mining,

Part II : Learning Algorithms, Computer Vision, AI for Healthcare and Reinforcement Learning and Robotics.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 473
• Erscheinungstermin: 24. November 2025
• Englisch
• ISBN-13: 9789819549696
• Artikelnr.: 75967714

Inhaltsangabe

.
Language and Foundation Models. .
Analysis of Large Language Model Prompting and Generation using Toulmin’s Model. .
MultiRAG: An Agentic Multi
modal and Multi
source Retrieval Augmented Generation Framework for Scientific Research. .
Enhancing RAG System Performance Through Semantic Layout Chunking. .
Automating Perdurant Meta
Property Assignment using GPT
4. .
Evaluating Large Language Models for Real
World Engineering Tasks. .
Generation of Ethical Rules Using Large Language Models. .
Large Language Models Imitate Logical Reasoning, but at what Cost?. .
LAPEFT: A Lexicon
Enhanced Approach to Parameter
Efficient Fine
Tuning for Financial News Sentiment Classification. .
SimLabel: Consistency
Guided OOD Detection with Pretrained Vision
Language Models. .
RePrompt: Towards Robust Continual Test
Time Adaptation via Replay Prompt for CLIP. .
Trustworthy and Explainable AI. .
Probabilistic Lipschitzness and the Stable Rank for Measuring XAI Model Robustness. .
Graph
based Integrated Gradients for Explaining Graph Neural Networks. .
Assessing Algorithmic Fairness in Socioeconomic Predictions Using Australian Census Data. .
TrustGuard: IoT Intrusion Detection with XAI
Driven Feature Refinement for Enhanced Multi
class Edge Classification. .
PP
Pose: Privacy
Preserving Human Pose Estimation Using Random High
Frequency Channel Combinations. .
Do They Understand Them? An Updated Evaluation on Nonbinary Pronoun Handling in Large Language Models. .
Concept Control for LLM Safety Using Radial Basis Function Representations. .
Prompting Instability: An Empirical Study of LLM Robustness in Code Vulnerability Detection. .
Requirements
based Explainability for Multi
Agent Systems.  .
On Explaining Proxy Discrimination and Unfairness in Individual Decisions Made by AI Systems. .
All Models Are Miscalibrated, But Some Less So: Comparing Calibration with Conditional Mean Operators. .
Whose Side Are You On: Investigating Political Bias of Large Language Models. .
Guardrails, Not Guesswork: A Framework for Trustworthy AI Adoption. .
Knowledge Representation and Data Mining. .
Categorization Architecture with Predictive Reasoning and Alignment for UNSPSC. .
SVDformer: Direction
Aware Spectral Graph Embedding Learning via SVD and Transformer. .
Predicting Generalization Error under Graph Distribution Shifts via Parameter Discrepancy with Accumulated Gradient. .
Predicting Graph Structure via Adapted Flux Balance Analysis. .
cFedLAD: A Clustered Additive LoRA Framework for Robust and Personalized Federated Learning. .
Dimensionally Reduced Open
World Clustering: DROWCULA. .
Noise
Robust Topology Estimation of 2D Image Data via Neural Networks and Persistent Homology. .
MFiSP: A Multimodal Fire Spread Prediction Framework. .
Signal Beneath the Surface: A Deep Learning Pipeline for Marine Acoustic Intelligence. .
Weather Forecasting System “Four Seasons in One Day” and Shelter Suggestion for Sydney & Melbourne & Canberra. .
Proactive Air Quality Forecasting and Health Alert System for Melbourne. .
Solving Partial Graph Matching as a Stable Matching Problem.