When Machine Learning Labels Lie: Auditing Crypto Risk Models Exposes Hidden Weaknesses
A new audit protocol reveals that machine learning models trained on cheap proxy labels for cryptocurrency risk can excel at ...
A new audit protocol reveals that machine learning models trained on cheap proxy labels for cryptocurrency risk can excel at ...
A multicenter study reports that an ensemble deep learning model called LMRNet can predict lymph node metastasis in early gastric ...
Researchers used crystallography, computational screening, and machine learning to raise the melting temperature of the fungal sweet protein honey truffle ...
A multi-region ultrasound radiomics model combining whole-tumor, habitat subregion, and peritumoral features improved preoperative prediction of lymph node metastasis in ...
Researchers in China have developed a graph-based deep reinforcement learning system that learns to schedule single-armed cluster tools processing multiple ...
Researchers have developed EBGT, an explainable machine learning framework that embeds geochemical constraints into gradient-boosted trees to identify ion-adsorption rare ...
Researchers have developed a PSO-optimized stacking ensemble that estimates three-phase inverter voltages sensorlessly with errors below 1.6 percent across a ...
Researchers have introduced a Riemannian manifold-based loss function that pushes multimodal Transformer models to state-of-the-art accuracy in human activity recognition ...
Researchers have built a phishing detection framework that pairs a lightweight hybrid deep learning model with LIME and SHAP explanations ...
Researchers have developed a personalized N-of-1 transformer framework that learns an individual's daily behavior patterns from smart home activity logs ...
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© 2025 Scienmag - Science Magazine