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The Multiplex Classification Framework: optimizing multi-label classifiers through problem transformation, ontology engineering, and model ensembling
Classification is a fundamental task in machine learning. While conventional methods-such
as binary, multiclass, and multi-label classification-are effective for simpler problems, they …
as binary, multiclass, and multi-label classification-are effective for simpler problems, they …
GOBoost: Leveraging Long-Tail Gene Ontology Terms for Accurate Protein Function Prediction
Motivation: With the advancement of deep learning, researchers have increasingly proposed
computational methods based on deep learning techniques to predict protein function …
computational methods based on deep learning techniques to predict protein function …
GCL-GO: A novel sequence-based hierarchy-aware method for protein function prediction
K Choi, Y Lee, C Kim - 2022 IEEE International Conference on …, 2022 - ieeexplore.ieee.org
Experimental protein functional annotation does not cover rapidly-expanding protein
sequences. Sequence-based methods, one of the computational methods, have been …
sequences. Sequence-based methods, one of the computational methods, have been …
Prediction of Insufficient Accuracy for Patient's Length of Stay using Feed Forward Neural Network by comparing Deep Belief Network
CV Kumar, MS Saravanan… - 2023 Fifth International …, 2023 - ieeexplore.ieee.org
The research is to study the patient's length of stay in intensive care unit (ICU) admissions
each year with their cost and health expenditure. Forecasting in the clinical Decision …
each year with their cost and health expenditure. Forecasting in the clinical Decision …