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Support vector machines

An attention-based recurrent learning model for short-term travel time prediction

Jawad-ur-Rehman Chughtai, Irfan Ul Haq, Muhammad Muneeb

Combined spectral and speech features for pig speech recognition

Xuan Wu, Silong Zhou, [ ... ], Haibo Pu

Multigroup prediction in lung cancer patients and comparative controls using signature of volatile organic compounds in breath samples

Shesh N. Rai, Samarendra Das, [ ... ], Xiao-An Fu

Android malware detection method based on highly distinguishable static features and DenseNet

Jiyun Yang, Zhibo Zhang, Heng Zhang, JiaWen Fan

Risk stratification with explainable machine learning for 30-day procedure-related mortality and 30-day unplanned readmission in patients with peripheral arterial disease

Meredith Cox, J. C. Panagides, [ ... ], Dania Daye

Textural feature based intelligent approach for neurological abnormality detection from brain signal data

Md. Nurul Ahad Tawhid, Siuly Siuly, Kate Wang, Hua Wang

SPARE-Tau: A flortaucipir machine-learning derived early predictor of cognitive decline

Jon B. Toledo, Tanweer Rashid, [ ... ], for the Alzheimer’s Disease Neuroimaging Initiative

Automatic assessment of laparoscopic surgical skill competence based on motion metrics

Koki Ebina, Takashige Abe, [ ... ], Nobuo Shinohara

Sign language recognition by means of common spatial patterns: An analysis

Itsaso Rodríguez-Moreno, José María Martínez-Otzeta, Izaro Goienetxea, Basilio Sierra

A classification framework for identifying bronchitis and pneumonia in children based on a small-scale cough sounds dataset

Siqi Liao, Chao Song, Xiaoqin Wang, Yanyun Wang

Machine learning predicts the short-term requirement for invasive ventilation among Australian critically ill COVID-19 patients

Roshan Karri, Yi-Ping Phoebe Chen, [ ... ], for the SPRINT-SARI Australia Investigators

A methodology for classifying tissue-specific metabolic and inflammatory receptor functions applied to subcutaneous and visceral adipose

Gur Arye Yehuda, Judith Somekh

Automatic extraction of upper-limb kinematic activity using deep learning-based markerless tracking during deep brain stimulation implantation for Parkinson’s disease: A proof of concept study

Sunderland Baker, Anand Tekriwal, [ ... ], John A. Thompson

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