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Artificial intelligence

Swept source optical coherence tomography to early detect multiple sclerosis disease. The use of machine learning techniques

Amaya Pérez del Palomar, José Cegoñino, [ ... ], Elena Garcia-Martin

Visualizing learner engagement, performance, and trajectories to evaluate and optimize online course design

Michael Ginda, Michael C. Richey, Mark Cousino, Katy Börner

Deep learning for named entity recognition on Chinese electronic medical records: Combining deep transfer learning with multitask bi-directional LSTM RNN

Xishuang Dong, Shanta Chowdhury, [ ... ], Qiubin Yu

Comparison of injury severity scores (ISS) obtained by manual coding versus “Two-step conversion” from ICD-9-CM

Rebeca Abajas-Bustillo, Francisco José Amo-Setién, [ ... ], Mark R. Zonfrillo

The role of low-level image features in the affective categorization of rapidly presented scenes

L. Jack Rhodes, Matthew Ríos, [ ... ], Vladimir Miskovic

Antenna selection for multiple-input multiple-output systems based on deep convolutional neural networks

Jia-xin Cai, Ranxu Zhong, Yan Li

Towards interpretable machine learning models for diagnosis aid: A case study on attention deficit/hyperactivity disorder

Sarah Itani, Mandy Rossignol, Fabian Lecron, Philippe Fortemps

Regional level influenza study based on Twitter and machine learning method

Hongxin Xue, Yanping Bai, Hongping Hu, Haijian Liang

An Adaptive Moment estimation method for online AUC maximization

Xin Liu, Zhisong Pan, [ ... ], Xianghua Niu

Predicting childhood obesity using electronic health records and publicly available data

Robert Hammond, Rodoniki Athanasiadou, [ ... ], Brian Elbel

Quantifying the effect of Jacobiasca lybica pest on vineyards with UAVs by combining geometric and computer vision techniques

Ana del-Campo-Sanchez, Rocio Ballesteros, [ ... ], on behalf of Agroforestry and Cartography Precision Research Group

A priority based energy harvesting scheme for charging embedded sensor nodes in wireless body area networks

Md Khurram Monir Rabby, Mohammad Shah Alam, MST Shamim Ara Shawkat

Fully convolutional network for rice seedling and weed image segmentation at the seedling stage in paddy fields

Xu Ma, Xiangwu Deng, [ ... ], Xupo Xing

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