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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 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	AI 2024/ edited by Mingming Gong ... [et al.].
Reminder of title:	advances in artificial intelligence : 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25-29, 2024 : proceedings.
other author:	Gong, Mingming.
corporate name:	Workshop on the Preservation of Stability under Discretization
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xix, 460 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence -
Online resource:	https://doi.org/10.1007/978-981-96-0351-0
ISBN:	9789819603510

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 /
AI 2024advances in artificial intelligence : 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25-29, 2024 : proceedings.Part II /[electronic resource] :edited by Mingming Gong ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xix, 460 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,154431611-3349 ;. - Lecture notes in computer science ;6140..

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 Histopathological Images 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.

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.

ISBN: 9789819603510

Standard No.: 10.1007/978-981-96-0351-0doiSubjects--Topical Terms:

671585
Artificial intelligence

LC Class. No.: Q334

Dewey Class. No.: 006.3

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 /
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