: Unlike traditional methods that just count the number of samples, this approach adjusts the model's focus based on the "richness" of the data. It has shown significant performance boosts on standard datasets like CIFAR-100 and ImageNet-LT. 3. Psychological Intervention in Schizophrenia
The "topic 107586" typically refers to specific research articles identified by this unique publication number in major scientific databases like ScienceDirect or PubMed . Depending on the field of study, this number corresponds to groundbreaking work in or machine learning optimization . 1. Fetal Ultrasound Diagnostics: FNBUI-NET
: Real-world data is often imbalanced; a few "head" categories have many samples, while "tail" categories have very few, leading AI models to ignore rare but important data. 107586
Another significant deep article with this ID, found in the journal Neural Networks (Volume 163, 2025), addresses a fundamental problem in Artificial Intelligence: .
: Researchers proposed "Adaptive Diversity Induced Reweighting." This method uses a novel metric called "diversity" to measure the space spanned by a category's samples. : Unlike traditional methods that just count the
: By improving the accuracy of nasal bone assessment in the first trimester, it provides a more reliable tool for early fetal health monitoring. 2. Machine Learning: Adaptive Diversity Induced Reweighting
: To automatically detect defects and classify fetal nasal bone ultrasound images. The nasal bone is a critical marker for screening chromosomal abnormalities like Down syndrome. Fetal Ultrasound Diagnostics: FNBUI-NET : Real-world data is
A primary research article associated with this ID is published in the journal Biomedical Signal Processing and Control (Volume 104, 2025). The study introduces , a multi-task deep learning model designed to revolutionize prenatal screenings.