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Support vector machines

Crash severity analysis of vulnerable road users using machine learning

Md Mostafizur Rahman Komol, Md Mahmudul Hasan, [ ... ], Andry Rakotonirainy

Machine learning prediction of dropping out of outpatients with alcohol use disorders

So Jin Park, Sun Jung Lee, [ ... ], In Young Choi

PHOTONAI—A Python API for rapid machine learning model development

Ramona Leenings, Nils Ralf Winter, [ ... ], Tim Hahn

The influence of dataset homology and a rigorous evaluation strategy on protein secondary structure prediction

Teng-Ruei Chen, Chia-Hua Lo, Sheng-Hung Juan, Wei-Cheng Lo

Hyperspectral image spectral-spatial classification via weighted Laplacian smoothing constraint-based sparse representation

Eryang Chen, Ruichun Chang, [ ... ], Jianghong Yuan

Predictions from algorithmic modeling result in better decisions than from data modeling for soybean iron deficiency chlorosis

Zhanyou Xu, Andreomar Kurek, Steven B. Cannon, William D. Beavis

A machine learning based exploration of COVID-19 mortality risk

Mahdi Mahdavi, Hadi Choubdar, [ ... ], Ehsan Kamrani

Heart rate variability analysis for the assessment of immersive emotional arousal using virtual reality: Comparing real and virtual scenarios

Javier Marín-Morales, Juan Luis Higuera-Trujillo, [ ... ], Gaetano Valenza

Classification of abnormal location in medium voltage switchgears using hybrid gravitational search algorithm-artificial intelligence

Hazlee Azil Illias, Ming Ming Lim, [ ... ], Mohd Dzaki Mohd Amir

A transfer learning approach to facilitate ComBat-based harmonization of multicentre radiomic features in new datasets

Ronrick Da-ano, François Lucia, [ ... ], Mathieu Hatt

Personalized prediction of disease activity in patients with rheumatoid arthritis using an adaptive deep neural network

Maria Kalweit, Ulrich A. Walker, [ ... ], Thomas Hügle

Hyperspectral band selection and modeling of soil organic matter content in a forest using the Ranger algorithm

Yuanyuan Shi, Junyu Zhao, [ ... ], Jian Tang

Impact of chart image characteristics on stock price prediction with a convolutional neural network

Guangxun Jin, Ohbyung Kwon

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