El. knyga: 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

.- 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 Alzheimers 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.