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Indian Institute of Technology Guwahati
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Kernel ensembles with Survival Forests and Beran estimators significantly outperform single models for patient-specific survival prediction.
Long-memory reservoir computing models can dramatically enhance dengue forecasting accuracy, outperforming traditional methods and deep learning approaches in data-scarce environments.
Ditch restrictive parametric assumptions in multivariate time series forecasting: EnTransformer uses a deep generative approach to directly learn complex joint predictive distributions, outperforming benchmarks.
