Optimal Feature Selection for EMG-Based Finger Force Estimation Using LightGBM Model
, 2019 Yuhang Ye +3 more
openalex +2 more sources
Machine Learning-Assisted Optimisation of the Laser Beam Powder Bed Fusion (PBF-LB) Process Parameters of H13 Tool Steel Fabricated on a Preheated to 350 <sup>∘</sup>C Building Platform. [PDF]
Materials (Basel)Kosarava K +5 more
europepmc +1 more source
Leveraging LightGBM Ranker for Efficient Large-Scale News Recommendation Systems
Tetsuro Sugiura +2 more
openalex +1 more source
Early prediction of ARDS caused by non-pulmonary sepsis based on machine learning algorithms of inflammatory indicators and blood gas parameters. [PDF]
Front Med (Lausanne)Deng B, Jia B, Wu S, Wu X.
europepmc +1 more source
Roberta-LightGBM: A hybrid model of deep fake detection with pre-trained and binary classification
Rajkumar V, priyadharshini G
openalex +1 more source
Enhancing deep learning interpretability for hand-crafted feature-guided histologic image classification via weak-to-strong generalization. [PDF]
J Med Imaging (Bellingham)Fan Z +6 more
europepmc +1 more source
Development of an explainable machine learning model for predicting poststroke anxiety: A multicenter study using Shapley Additive Explanations and nomogram visualization. [PDF]
Digit HealthLyu M, Xie Y, Li M, Hölscher C, Shen X.
europepmc +1 more source
Explainable machine learning for stroke risk prediction: a comparative study with SHAP-based interpretation. [PDF]
Front NeurolTang X, Tang M, Liu W, Cui S.
europepmc +1 more source
Development and validation of a risk prediction model for consciousness disorders in stroke patients in the intensive care unit (ICU): a retrospective study. [PDF]
Front Med (Lausanne)Fang G +6 more
europepmc +1 more source