Visualization of the RITSS algorithm. by Julian Hecker (758791)

K-RANK: AN EVOLUTION OF Y-RANK FOR MULTIPLE SOLUTIONS PROBLEM by Pedro V. J. L. Santos (7031486)

OrthoSNAP: a tree splitting and pruning algorithm for retrieving single-copy orthologs from gene family trees by Jacob Steenwyk (5176358)

Comparison of Order Splitting. by Huiyue Xu (12022388)

Detailed breakdown of performance comparison of CARRoT output and the other models. by Alina Bazarova (17138191)

Detailed breakdown of overfitting comparison of <i>CARRoT</i> output and the other models. by Alina Bazarova (17138191)

Table_1_Predictive models for small-for-gestational-age births in women exposed to pesticides before pregnancy based on multiple machine learning algorithms.XLSX by Xi Bai (15033)

Data_Sheet_1_Predictive models for small-for-gestational-age births in women exposed to pesticides before pregnancy based on multiple machine learning algorithms.ZIP by Xi Bai (15033)

In variational Bayesian inference, the operation of renormalizing the probabilistic model <i>p</i>₀ evaluated at an observation <i>X</i> = <i>x</i> (Bayes’ rule), is rep... by Sebastian Gottwald (6084635)

Image_1_Optimization of Cervical Cancer Screening: A Stacking-Integrated Machine Learning Algorithm Based on Demographic, Behavioral, and Clinical Factors.pdf by Lin Sun (105539)

“…Twelve well-known ML algorithms were selected, and their performances in predicting cervical cancer were compared. …”

Table_3_Optimization of Cervical Cancer Screening: A Stacking-Integrated Machine Learning Algorithm Based on Demographic, Behavioral, and Clinical Factors.xlsx by Lin Sun (105539)

“…Twelve well-known ML algorithms were selected, and their performances in predicting cervical cancer were compared. …”

Image_5_Optimization of Cervical Cancer Screening: A Stacking-Integrated Machine Learning Algorithm Based on Demographic, Behavioral, and Clinical Factors.pdf by Lin Sun (105539)

“…Twelve well-known ML algorithms were selected, and their performances in predicting cervical cancer were compared. …”

Image_2_Optimization of Cervical Cancer Screening: A Stacking-Integrated Machine Learning Algorithm Based on Demographic, Behavioral, and Clinical Factors.pdf by Lin Sun (105539)

“…Twelve well-known ML algorithms were selected, and their performances in predicting cervical cancer were compared. …”

Table_1_Optimization of Cervical Cancer Screening: A Stacking-Integrated Machine Learning Algorithm Based on Demographic, Behavioral, and Clinical Factors.xlsx by Lin Sun (105539)

“…Twelve well-known ML algorithms were selected, and their performances in predicting cervical cancer were compared. …”

Image_4_Optimization of Cervical Cancer Screening: A Stacking-Integrated Machine Learning Algorithm Based on Demographic, Behavioral, and Clinical Factors.pdf by Lin Sun (105539)

“…Twelve well-known ML algorithms were selected, and their performances in predicting cervical cancer were compared. …”

Table_2_Optimization of Cervical Cancer Screening: A Stacking-Integrated Machine Learning Algorithm Based on Demographic, Behavioral, and Clinical Factors.xlsx by Lin Sun (105539)

“…Twelve well-known ML algorithms were selected, and their performances in predicting cervical cancer were compared. …”

Image_3_Optimization of Cervical Cancer Screening: A Stacking-Integrated Machine Learning Algorithm Based on Demographic, Behavioral, and Clinical Factors.pdf by Lin Sun (105539)

“…Twelve well-known ML algorithms were selected, and their performances in predicting cervical cancer were compared. …”

Supplementary file 1_Prediction of malignancy risk in Bethesda III nodules: development and validation of multiple machine learning models.pdf by Wentian Li (28857)

Schematic illustration of spike detection and sequence detection. by Tjitse van der Molen (20391106)

Data for "Machine Learning-based Prediction of Passive Gears from Vessel Tracking Data in Small-Scale Multi-gear Fisheries" by Pamela Lattanzi (16454871)