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Produktbild: AI 2026: Advances in Artificial Intelligence
Band 17354 Vorbesteller

AI 2026: Advances in Artificial Intelligence 39th Australasian Joint Conference on Artificial Intelligence, AI 2026, Auckland, New Zealand, November 27–30, 2026, Proceedings

Aus der Reihe Lecture Notes in Computer Science

129,99 €

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Beschreibung

This book constitutes the proceedings of the 39th Australasian Joint Conference on Artificial Intelligence, AI 2026, held in Auckland, New Zealand, during November 26–30, 2026.

The 71 full papers were carefully reviewed and selected from 147 submissions. The papers in this volume are organized in five...

Beschreibung

This book constitutes the proceedings of the 39th Australasian Joint Conference on Artificial Intelligence, AI 2026, held in Auckland, New Zealand, during November 26–30, 2026.

The 71 full papers were carefully reviewed and selected from 147 submissions. The papers in this volume are organized in five topical sections: “Machine Learning Methods and Evaluation”, “Optimization, Planning, and Sequential Decision Making”, “Computer Vision and Multimodal Learning”, “Large Language Models and Agents: Reasoning, Efficiency, and Security”, and “AI Applications in Health, Environment, and Society.

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

12.01.2027
Abbildungen

XII, 905 p. 219 illus.
Herausgeber Feng Liu + weitere

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

12.01.2027
Abbildungen

XII, 905 p. 219 illus.
Herausgeber
Verlag Springer Singapore
Seitenzahl

905
Maße (B/H)

15,5/23,5 cm
Sprache

Englisch
ISBN

978-981-9289-63-9
Herstelleradresse

Springer Singapore
No. 12-2F 101 Business Park
47100 Puchong, Selangor D.E.
MY
Email: sdc-bookservice@springer.com
Telephone: +49 6221 3454301
Fax: +49 6221 3454229

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  • Produktbild: AI 2026: Advances in Artificial Intelligence

  • Machine Learning Methods and Evaluation.- Causal Discovery of Spatiotemporal Systems From Limited Physics Knowledge and Data.- Low-Risk Online Portfolio Optimization with Market-Wide Risk Awareness.- Reliable Individual Fairness Evaluation through Coverage, Metric Agreement, and Model Stability.- Support- and Confidence-Aware Incremental Learning Framework for Evolving Data Streams Classification.- Benchmarking Regression on Data Streams with Concept Drift.- BRIDGE: Iterative Balance-Guided Search for Attributed Community Detection.- DELTA: Dependency-Aware Latent Diffusion Tabular Data Synthesis.- Dynamic Graph-Conditioned Diffusion for Probabilistic Spatiotem poral Slope Displacement Forecasting.- Overcoming Representation Forgetting in Continual Learning via Feature-Preserving Fine-Tuning.- Prediction-Time Missing-Value Handling for Hoeffding Trees in Evolving Data Streams.- When Global Memory Hurts: Self-Consistency and Collapse in Federated Self-Supervised Learning.- Optimization, Planning, and Sequential Decision Making.- A Multi-Objective Hyper-Heuristic for Scenario-Based Cloud Manufacturing Scheduling with Window-Spanning Task Execution.- Can Hindsight Critics Guide Delayed Actors?.- Evolving Patch-Level Feature Extractors for Industrial Anomaly Detection Using Multitree Genetic Programming.- JoGaRL: Joint Learning of Genetic Programming-assisted Reinforcement Learning for Energy-efficient Dynamic Flexible Job Shop Scheduling.- A Construct, Merge, Solve and Adapt Algorithm for the Home Healthcare Routing and Scheduling Problem with Caregiver Sharing.- FOND-PDR: Sound and Complete Planning for Non-Determinism.- Guiding Large Language Models with Genetic Programming-Evolved Heuristic Knowledge for Dynamic Multi-Mode Project Scheduling.- Joint Constraint and Threshold Recovery in Inverse Constrained Reinforcement Learning.- Multi-Channel Communication for Multi-Player Multi-Armed Bandits without Collision Sensing.- Computer Vision and Multimodal Learning.- Benchmarking Training-Free Token Compression for Large Vision Language Models in Agriculture.- ELI-GS: Event-Conditioned Latent Integration for Motion-Deblurred Gaussian Splatting.- Evaluating Promptable Concept Segmentation for Wildfire Smoke Segmentation.- Finding Trigger Events in Video via Causal Abductive Reasoning.- Motion-Regime-Aware Mask-Level Insect Tracking Across Multi View and Rotating-Specimen Acquisitions.- Multimodal Graph Retrieval-Augmented Sequential Recommenda tion via Collaborative Filtering Paths.- RaS: Mitigating Hallucinations in MLLMs via Input Unification and Contrastive Decoding.- Render or Retain: Failure-Aware Optical Compression for Black-Box VLMs.- ValAug: Validation-Guided Adaptive Augmentation for Generaliz able Deepfake Detection.- A Differentiable Optimization Framework for Registering Sequential Bounding Boxes with Point Cloud Stream.- An Optimized Hierarchical Vision-Based Localization Framework for Fixed-Wing UAV Navigation in GNSS-Denied Environments.- Detect, Then Classify: Mosquito Species Recognition in the Wild.- Gated Fusion of Visual Descriptors and Web Tags for Multi-Label Image Classification.- GeoCurve: Geometry-Guided Sparse-View 3D Edge Reconstruction.- Geometry-Aware Contrastive Representation Learning for Plant Point Clouds.- Gromov Wasserstein Optimal Transport for Self-Supervised Saliency Detection.- Hollow Right Answers: Process-Level Diagnosis for Trustworthy Video Reasoning Evaluation.- MINOS: Annotation-Free Long-Tail 3D Detection and Tracking with Extensible Mesh Templates.- Large Language Models and Agents: Reasoning, Efficiency, and Security.- Confidence-Aware Routing via Log Probabilities for Cost-Efficient Sentiment Classification.- Cross-Principal Capability Laundering in LLM Agents.- It Is Not the Privilege, It Is the Escalation: Relative Authorization for Detecting Prompt Injection in LLM Agents.- Legal-Action Disclosure in LLM Navigation: A Matched Control Across Allocentric and Egocentric Frames.- Managing AI Agent Risks: Evaluating the Effectiveness of Harmful Behaviour Removal.- MAPI: Measuring Prompt-Injection Propagation in Multi-Agent LLM Pipelines.- Not Every Sync Is Safe: Calibrated DiLoCo Scheduling for Shared AI Infrastructure.- The Stability of LLM Routing Benchmarks: Do Evaluation Conclusions Survive Model-Pool and Price Updates?.- When Staged Evidence Processing Hurts: Diagnosing Information Loss in Lightweight Federated RAG.- 4-bit Quantisation and 16-bit Precision for Small Language Models in Deep Language Networks.- CAPE: Formalizing and Verifying the Security of Automated Policy Evolution Pipelines.- Detecting LLM jailbreak prompts with fine-tuned BERT models.- Federated Agentic RAG for Service Policy Consultation.- I/O-Efficient Quantization for Local LLM Inference on Edge Devices.- Repairing Fine-Tuning Regressions in Retrieval-Augmented Question Answering.- WebArxiv: A Reproducible Benchmark for Evaluating Multimodal Web Agents on arXiv Tasks.- When Do Output-Level Uncertainty Signals Transfer from Factuality to Faithfulness?.- AI Applications in Health, Environment, and Society.- Blend or Train? FSAB: Few-Shot Algorithm Blending for Cross Sensor Chlorophyll-a Retrieval.- Deep Learning with Multimodal Fusion for Early Prediction of Sleep Apnea Events.- Multi-Agent Computational Appraisal for Emotional Engagement Risk Scoring in Social Media Text.- Outcome-Conditioned Care Pathway Synthesis: A Benchmark of Generative Sequence Models on Clinical Event Logs.- A Hybrid Graph Neural Network and Adaptive Fourier Neural Operator for Next-Day Wildfire Spread Prediction.- Auditing BI-RADS Expressibility of Breast-Ultrasound Decisions in Frozen Vision–Language Models.- Beyond Shift Detection: Auditing Which Confounds Distort a Clinical Speech Benchmark.- Faithful Counterfactual-Anchored Multimodal Time-Series Explanation of New Zealand Electricity Price Spikes.- Frequency-Aware Causally Masked Transformer for Regional Electricity Price Forecasting in the Australian National Electricity Market.- Identifying Time Windows Containing Short-Term Slow Slip Events in GNSS Time Series Using Machine Learning.- LaSE: A Latent Set Encoder for Efficient Classification of Irregular Clinical Time Series.- PathSurv: Pathway-Aware Multimodal Cancer Survival Prediction under Modality Missingness.- Physics-Informed Data-Driven Modelling under Data Scarcity: A Freeze-Up Case Study in Commercial Refrigeration.- Revisiting Time-Series Foundation Models for Leaf Area Index Prediction.- Warning Before the Evening Peak: Health-Centred Air Quality Alerts in New Zealand and Australia.- When Transfer Accuracy Is Not Enough: Deployment-Conditioned Behavioural Diagnostics for Knowledge Transfer.