Curriculum Learning Boosts Machine Learning Maps of Landslide Susceptibility
Researchers in Chongqing combined self-paced curriculum learning with a Stacking ensemble to filter noisy negative samples, achieving a modest but ...
Tag: ensemble learning
Multi-expert AI network sharpens carotid plaque segmentation across ultrasound centers
A SegFormer-B2-based multi-expert ensemble called MUSE-Net achieved a mean Dice of 0.834 for carotid plaque segmentation across a four-center ultrasound ...
Transformer-convolution hybrid reaches near-perfect hyperspectral image classification
A four-stage hybrid framework combining convolutional spectral compression, a Transformer encoder, and U-Net spatial extraction reports 99.85% overall accuracy on ...
Machine Learning Flags Who Will Still Hurt a Year After Rotator Cuff Surgery
A retrospective single-center study of 491 rotator cuff repair patients found that a stacking ensemble of machine learning models built ...
Machine Learning Reads TBM Data to Classify Rock Mass Automatically
An interpretable machine learning framework classified rock mass conditions along China's Beishan URL spiral ramp from stable TBM sensor data ...
Ensemble AI model flags and rewrites media bias in news text
A new ensemble AI system detects media bias in news text with 77.5 percent accuracy and rewrites flagged passages while ...
Ensemble learning improves attack detection across user and network data
A study combining Transformer, deep neural-network and recurrent models with adaptive weighting reported 95% accuracy and 96% recall when detecting ...
Stacking deep learning reaches 97.2% accuracy for olive disease images
A stacking ensemble combining EfficientNet, ResNet and MobileNet classified healthy and diseased olive leaf images with 97.21% accuracy on a ...
Four-Layer AI Shield Brings Near-Real-Time Phishing Defense to Android Phones
A new multilayered machine learning framework combines URL, message, app and network analysis with adaptive user training to detect Android ...
Simple Machine Learning Model Predicts Fluorinated Gas Capture in Ionic Liquids
A new study shows a CatBoost machine learning model with only seven simple inputs predicts fluorinated gas solubility in ionic ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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