AI 2024: Advances in Artificial Intelligence

37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25–29, 2024, Proceedings, Part II

AvMingming Gong,Yiliao Song

Häftad, Engelska, 2024

Del 15443 i serien Lecture Notes in Computer Science

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Beskrivning

This two-volume set LNAI 15442-15443 constitutes the refereed proceedings of the 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, held in Melbourne, VIC, Australia, during November 25-29, 2024.The 59 full papers presented together with 3 short papers were carefully reviewed and selected from 108 submissions.Part 1: Knowledge Representation and NLP; Trustworthy and Explainable AI; Machine Learning and Data Mining.Part 2: Reinforcement Learning and Robotics; Learning Algorithms; Computer Vision; AI for Healthcare.

Produktinformation

Utgivningsdatum:2024-11-24
Mått:155 x 235 x 26 mm
Vikt:721 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:460
Förlag:Springer Nature Switzerland AG
ISBN:9789819603503

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

.- Reinforcement Learning and Robotics..- ECoDe: A Sample-Efficient Method for Co-Design of Robotic Agents..- Causally driven hierarchies for Feudal Multi-Agent Reinforcement Learning..- Graceful Task Adaptation with a Bi-Hemispheric RL Agent..- Towards Virtual Character Control via Partial Story Sifting..- Boosting Reinforcement Learning Algorithms in Continuous Robotic Reaching Tasks using Adaptive Potential Functions..- Online Deep Reinforcement Learning of Servo Control for a Small-Scale Bio-Inspired Wing..- Posterior Tracking Algorithm for Multi-objective Classification Bandits..- Learning Algorithms.- Approximate Nearest Neighbour Search on Dynamic Datasets: An Investigation..- Pathwise Gradient Variance Reduction with Control Variates in Variational Inference..- Active Continual Learning: On Balancing Knowledge Retention and Learnability..- Bayesian Parametric Proportional Hazards Regression with the Fused Lasso..- Revisiting Bagging for Stochastic Algorithms..- Sampling of Large Probabilistic Graphical Models Using Arithmetic Circuits..- Importance-based Pruning for Genetic Programming based Symbolic Regression..- Quantifying Manifolds: Do the Manifolds Learned by Generative Adversarial Networks Converge to the Real Data Manifold?..- Equality Generating Dependencies in Description Logics via Path Agreements..- Computer Vision.- End-to-end Truck Speed Detection using Deep Multi-Task Learning..- Real-Time Lightweight 3D Hand-Object Pose Estimation Using Temporal Graph Convolution Networks..- New Perspectives for the Deep Learning Based Photography Aesthetics Assessment..- 3DSSG-Cap: A Caption Enhanced Dataset for 3D Visual Grounding..- Multi-scale Cooperative Multimodal Transformers for Multimodal Sentiment Analysis in Videos..- Chain of Thought Prompting in Vision-Language Model for Vision Reasoning Tasks..- Enabling Visual Intelligence by Leveraging Visual Object States in a Neurosymbolic Framework..- AI for Healthcare.- A Self-Adaptive Framework for Efficient Cell Detection and Segmentation in HistopathologicalImages with Minimal Expert Input..- Learning Low-Energy Consumption Obstacle Detection Models for the Blind..- Claimsformer: Pretrained Transformer for Administrative Claims Data to Predict Chronic Conditions..- Online Machine Learning for Real-Time Cell Culture Process Monitoring..- Motif-induced Subgraph Generative Learning for Explainable Neurological Disorder Detection..- Multimodal Hyperbolic Graph Learning for Alzheimer’s Disease Detection..- Real-Time Human Activity Recognition Using Non-Intrusive Sensing and Continual Learning..- Unsupervised dMRI Artifact Detection via Angular Resolution Enhancement and Cycle Consistency Learning..- Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle..- Vision-Based Abnormal Action Dataset for Recognising Body Motion Disorders.