Mediafeed on MSN

CARS-2 vs. ADOS-2: Choosing the right autism assessment tool for your practice

Choosing the right autism assessment tool has direct consequences for your practice’s diagnostic accuracy, patient throughput, staffing requirements, and operational capacity. For clinicians and ...
Scientific Research Publishing

Assessment of Forest Reserve Deforestation in the Federal Capital Territory (FCT), Nigeria ()

Figures 12-14 are the land use/land cover maps of existing forest reserves in the FCT, namely; Tufa in Abaji, Chihuma, Chikwei, Kusoru and Shaba in Bwari, Maje Abuchi in Gwagwalada, then, Buga Hill, ...
EurekAlert!

Teaching AI to spot concrete cracks without heavy labeling

A new study shows that self-supervised artificial intelligence may offer a more practical path for detecting concrete cracks in real-world structures.
IEEE

Research on Two-branch Semi-supervised Classification Method Based on Incremental Dictionary Learning for Hyperspectral Image

Abstract: Hyperspectral image contains rich spectral and spatial information. The existing hyperspectral image classification methods, which rely solely on superpixel level features, suffer from the ...
ascopubs.org

Self-Supervised Transformer-Based Pipeline for Liver Tumor Segmentation and Type Classification

Exploring the Past and Current Landscape of Biomarker-Driven Clinical Trials Through Large Language Models First, we pretrained the encoder of a transformer-based network using a self-supervised ...
IEEE

An Adaptive Non-Linear Graph Filter in Semi-Supervised Graph Based Classification

Abstract: Overcoming class imbalance is a critical challenge for graph-based semi-supervised classification methods. In this letter, we address this issue from the perspective of graph filtering and ...
AlphaGalileo

A Review on Multi-View Learning

Multi-view learning is gradually becoming a well-established domain within machine learning that tackles problems involving the availability of multiple views or sources of data. Existing multi-view ...
Frontiers

OpenLabCluster: active learning based clustering and classification of animal behaviors based on kinematic body keypoints

Quantifying natural behavior from video recordings is a key component in ethological studies. Markerless pose estimation methods have provided an important step toward that goal by automatically ...
Scientific Research Publishing

Lu, D., & Weng, Q. (2007). A Survey of Image Classification Methods and Techniques for Improving Classification Performance. International Journal of Remote Sensing, 28, 823-870.

ABSTRACT: Change-detection analysis highlighted significant declines in sparse forest (−72.88%) and wetlands (−73.49%), alongside a substantial increase in bare land (+55.26%). These trends underscore ...
Frontiers

VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

The acquisition sites include: CALTECH, California Institute of Technology; CMU, Carnegie Mellon University; KKI, Kennedy Krieger Institute; LEUVEN, University of Leuven; MAX, Ludwig Maximilians ...