Deep Learning in Medicine Hits a Wall: Explainability and Privacy Are Locked in Tension
A new review of 61 studies reveals that the explainability and privacy protections required for trustworthy medical and biometric deep ...
A new review of 61 studies reveals that the explainability and privacy protections required for trustworthy medical and biometric deep ...
A systematic review of 237 studies from 2014 to 2024 maps how explainable AI techniques such as SHAP and LIME ...
A new conceptual framework proposes five governance dimensions for making AI-driven university admissions transparent, equitable, and centred on learner agency.
Researchers at Erciyes University show that interpretable machine learning with a reduced set of critical building parameters can predict the ...
Researchers have built a dual-agent deep reinforcement learning framework that classifies market strength using classic technical indicators and dynamically selects ...
Researchers have released PEAXAI, an open-source R package that reframes data envelopment analysis as a probabilistic classification task and uses ...
Researchers in India have built an explainable deep learning framework that forecasts cloud host load in real time with about ...
A scientometric analysis of 4,269 publications charts how sentiment analysis evolved from lexicon-based polarity detection to aspect-based, multimodal, foundation-model-driven sentiment ...
Researchers in India have built a reinforcement learning day-trading agent that combines CNNs, attention-based LSTMs, and explainable AI to outperform ...
Researchers in Bangladesh have developed an explainable deep learning framework that classifies brain tumors on MRI scans in 2.45 milliseconds ...
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© 2025 Scienmag - Science Magazine