Machine Learning articles for Australia

Time frame: 1 June 2025 - 30 May 2026

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Count: 31

Article ‘Count’ for Machine Learning.

Journal Count Share
1 0.09
A Thermogalvanic Cell Microneedle Patch for Integrated Diagnosis and Treatment of UV-Induced Early Skin Cancer 0.09
1 1.00
Machine learning applications for urban geospatial analysis: A review of urban and environmental studies 1.00
1 0.10
Grid cell distortion is associated with increased distance estimation error in polarized environments 0.10
1 1.00
Adaptive optimization of BESS and grid set points: A model-free framework for energy management under dynamic tariff pricing 1.00
1 0.79
Unsupervised and few-shot segmentation in photovoltaic electroluminescence images for defect detection via a novel enhanced iterative autoencoder with simple implementation 0.79
1 0.67
Uncovering Deformation Prior to Analogue Megathrust Earthquakes With Explainable Artificial Intelligence 0.67
9 5.88
Adversarial Attacks and Detection in Visual Place Recognition for Safer Robot Navigation 1.00
Embodied Domain Adaptation for Object Detection 1.00
Correspondence-Free Multiview Point Cloud Registration via Depth-Guided Joint Optimisation 0.75
PD-VLA: Accelerating Vision-Language-Action Model Integrated with Action Chunking via Parallel Decoding 0.08
QueryAdapter: Rapid Adaptation of Vision-Language Models in Response to Natural Language Queries 1.00
Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning 0.75
View-aware Decomposition and Unification for Fast Ground-to-Aerial Person Search 0.40
Self-supervised 3D Reconstruction of Tibia and Fibula from Biplanar X-rays 0.75
Vision-Guided Loco-Manipulation with a Snake Robot 0.14
2 1.11
Comparative and complementary diagnostic value of dermatoscopy and clinical close-up photography in skin cancer diagnosis: A study from the MILK10k dataset 0.11
In vivo Cutaneous Confocal Microscopy for Diagnosing the Lentigo Maligna Spectrum: A Multicentre Prospective Study and Proposal of a Lentigo Maligna Spectrum Score 1.00
9 1.92
Analysis of computational tumor-infiltrating lymphocytes in breast cancer from the results of the TIGER challenge 0.03
Convolutional neural networks quantify antibiotic resistance in Mycobacterium tuberculosis with diagnostic grade accuracy and predict treatment response 0.06
International testing and refinement of AI algorithms predicting acute leukemia subtypes from routine laboratory data 0.05
Inverse-designed nanophotonic neural network accelerators for ultra-compact optical computing 1.00
Understanding pre-training data effects in retinal foundation models using two large fundus cohorts 0.02
Privacy-preserving collaborative battery fault warning for massive electric vehicles by heterogeneous data from charging stations 0.07
Scaling deep learning for material imaging with a pseudo 3D model for domain transfer 0.53
Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer 0.03
A predictive approach to enhance time-series forecasting 0.14
1 0.72
A multimodal vision foundation model for clinical dermatology 0.72
1 0.25
Biologically grounded neocortex computational primitives implemented on neuromorphic hardware improve vision transformer performance 0.25
1 0.07
Performance of Algorithms Submitted in the 2023 RSNA Screening Mammography Breast Cancer Detection AI Challenge. 0.07
2 1.50
Augmenting Urban Planning with Computer Vision: A Review of The State-of-The-Art 0.50
Computer vision-based approach for autonomous estimation of building envelope material stock 1.00

Numerical information only (in the tables above) is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International.