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 /
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 a...
Uloženo v:
| Korporativní autor: | |
|---|---|
| Další autoři: | , , , , |
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2025.
|
| Vydání: | 1st ed. 2025. |
| Edice: | Lecture Notes in Artificial Intelligence,
15443 |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/978-981-96-0351-0 |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
Obsah:
- -- 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.