GitHub

non-negative-matrix-factorization

nlp natural-language-processing hyperparameter-optimization topic-modeling nlp-library bayesian-optimization hyperparameter-tuning latent-dirichlet-allocation evaluation-metrics neural-topic-models ...
Frontiers

Vision transformer-based uncertainty quantification for triaging skin lesions: a probabilistic framework for automated biopsy recommendation

proposed a multi-stage pipeline, which uses U-Net to segment lesions, MobileNet to extract features, and Cat Swarm Optimization (CSO) to tune the hyperparameters of a Gated Recurrent Unit (GRU) ...
Frontiers

Research on multi-algorithm fusion methods for forecasting typical daily load profiles in power system planning for target years

Bayesian optimization streamlines the process of hyperparameter selection, improving the overall accuracy and robustness of the RF model. Each tree is constructed using bootstrap sampling from the ...
C&EN

NPClassifier: A Deep Neural Network-Based Structural Classification Tool for Natural Products

Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California San Diego, La Jolla, California 92093, United States ...