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Found 4 papers, 1 papers with code
Machine Learning-Based Analysis of Ebola Virus' Impact on Gene Expression in Nonhuman Primates
This study introduces the Supervised Magnitude-Altitude Scoring (SMAS) methodology, a machine learning-based approach, for analyzing gene expression data obtained from nonhuman primates (NHPs) infected with Ebola virus (EBOV).
Machine Learning Based Analytics for the Significance of Gait Analysis in Monitoring and Managing Lower Extremity Injuries
XGBoost was the optimal model both before and after applying SMOTE.
Cross-attention-based saliency inference for predicting cancer metastasis on whole slide images
Apart from this new attention mechanism, we introduce a negative representation learning algorithm to facilitate the learning of saliency-informed attention weights for improved sensitivity on tumor WSIs.
Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images
Our method initially learns representations of normal WSIs, and it then compares the normal WSIs representations with all the input patches to infer the salient instances of the input WSI.
