A decision-aware multi-scale attention network generates tailored explanations for autonomous driving choices and outperforms prior models on F1 and a new Joint F1 metric across two datasets.
Grad -cam: Visual explanations from deep networks via gradient-based localization
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A review mapping the transition from classical machine learning to foundation models for multimodal data integration in cancer research.
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An End-to-End Decision-Aware Multi-Scale Attention-Based Model for Explainable Autonomous Driving
A decision-aware multi-scale attention network generates tailored explanations for autonomous driving choices and outperforms prior models on F1 and a new Joint F1 metric across two datasets.
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From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research
A review mapping the transition from classical machine learning to foundation models for multimodal data integration in cancer research.