The study applies an ensemble of machine learning and deep learning models with synthetic oversampling on 2018-2020 data to nowcast visibility, finding a performance decline on 2021 test data attributed to distributional shift confirmed by Wasserstein distance on the SHAP-identified feature.
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2 Pith papers cite this work. Polarity classification is still indexing.
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SentinelSphere integrates an AI threat detector using an enhanced DNN on benchmark datasets with a fine-tuned quantized LLM for user training and awareness.
citing papers explorer
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Visibility nowcasting in South Korea: a machine learning approach to class imbalance and distribution shift
The study applies an ensemble of machine learning and deep learning models with synthetic oversampling on 2018-2020 data to nowcast visibility, finding a performance decline on 2021 test data attributed to distributional shift confirmed by Wasserstein distance on the SHAP-identified feature.
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SentinelSphere: Integrating AI-Powered Real-Time Threat Detection with Cybersecurity Awareness Training
SentinelSphere integrates an AI threat detector using an enhanced DNN on benchmark datasets with a fine-tuned quantized LLM for user training and awareness.