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Support vector machines

Identification of high-risk COVID-19 patients using machine learning

Mario A. Quiroz-Juárez, Armando Torres-Gómez, [ ... ], Alfred B. U’Ren

ESIDE: A computationally intelligent method to identify earthworm species (E. fetida) from digital images: Application in taxonomy

Saiqa Andleeb, Wajid Arshad Abbasi, [ ... ], Syed Ali Abbas

The pitfalls of using Gaussian Process Regression for normative modeling

Bohan Xu, Rayus Kuplicki, Sandip Sen, Martin P. Paulus

BERTtoCNN: Similarity-preserving enhanced knowledge distillation for stance detection

Yang Li, Yuqing Sun, Nana Zhu

Identifying indicator species in ecological habitats using Deep Optimal Feature Learning

Yiting Tsai, Susan A. Baldwin, Bhushan Gopaluni

A graph-based cell tracking algorithm with few manually tunable parameters and automated segmentation error correction

Katharina Löffler, Tim Scherr, Ralf Mikut

Classification of soybean frogeye leaf spot disease using leaf hyperspectral reflectance

Shuang Liu, Haiye Yu, [ ... ], Lei Zhang

Machine learning model for predicting the optimal depth of tracheal tube insertion in pediatric patients: A retrospective cohort study

Jae-Geum Shim, Kyoung-Ho Ryu, [ ... ], Jin Hee Ahn

Automatic subject-specific spatiotemporal feature selection for subject-independent affective BCI

Badar Almarri, Sanguthevar Rajasekaran, Chun-Hsi Huang

Differential privacy for eye tracking with temporal correlations

Efe Bozkir, Onur Günlü, [ ... ], Enkelejda Kasneci

Four methods of brain pattern analyses of fMRI signals associated with wrist extension versus wrist flexion studied for potential use in future motor learning BCI

Aniruddh Ravindran, Jake D. Rieke, [ ... ], Janis J. Daly

Improving stock trading decisions based on pattern recognition using machine learning technology

Yaohu Lin, Shancun Liu, [ ... ], Bingbing Jiang

A novel feature selection algorithm based on damping oscillation theory

Fujun Wang, Xing Wang

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