Heuristic Search Method Improves Cancer Classification Using Gene Expression Data
A combined local search and genetic algorithm improved cancer classification accuracy and reduced computational complexity across more than 30,000 patient ...
A combined local search and genetic algorithm improved cancer classification accuracy and reduced computational complexity across more than 30,000 patient ...
A cross-sectional study in Montreal demonstrates that machine learning models cannot reliably predict antiretroviral therapy adherence barriers from sociodemographic characteristics ...
Researchers found that artificial intelligence algorithms predicting deep vein thrombosis produced widely conflicting probability estimates for individual patients despite showing ...
An explainable machine-learning framework classified 52 historic blue bricks among five regional groups with 95% test accuracy using spectral and ...
Researchers combined the Coastal Modelling System with Bayesian optimization and machine learning to predict erosion and sedimentation at Egypt's Kitchener ...
A global analysis of bats and birds reveals that wing morphology and geographic range characteristics are key predictors of phylogeographic ...
A new Machine Learning study shows that greedy decision tree algorithms can stall with zero purity gain, and introduces grid-based ...
An explainable machine learning analysis of 2,612 S&P 1500 firm-year observations finds that company size is the dominant predictor of ...
A systematic review of 207 studies finds that machine learning models, especially convolutional neural networks and random forests, consistently beat ...
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© 2026 Scienmag - Science Magazine