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Machine learning

Divide and Conquer: Sub-Grouping of ASD Improves ASD Detection Based on Brain Morphometry

Gajendra J. Katuwal, Stefi A. Baum, Nathan D. Cahill, Andrew M. Michael

Wearable-Sensor-Based Classification Models of Faller Status in Older Adults

Jennifer Howcroft, Edward D. Lemaire, Jonathan Kofman

Behavior Based Social Dimensions Extraction for Multi-Label Classification

Le Li, Junyi Xu, Weidong Xiao, Bin Ge

Classifying Response Correctness across Different Task Sets: A Machine Learning Approach

Thorsten Plewan, Edmund Wascher, Michael Falkenstein, Sven Hoffmann

Characterizing Forest Change Using Community-Based Monitoring Data and Landsat Time Series

Ben DeVries, Arun Kumar Pratihast, [ ... ], Martin Herold

FHSA-SED: Two-Locus Model Detection for Genome-Wide Association Study with Harmony Search Algorithm

Shouheng Tuo, Junying Zhang, [ ... ], Zhaowen Liu

Localizing Tortoise Nests by Neural Networks

Roberto Barbuti, Stefano Chessa, Alessio Micheli, Rita Pucci

A Directed Acyclic Graph-Large Margin Distribution Machine Model for Music Symbol Classification

Cuihong Wen, Jing Zhang, Ana Rebelo, Fanyong Cheng

Machine Learning Classification of Cirrhotic Patients with and without Minimal Hepatic Encephalopathy Based on Regional Homogeneity of Intrinsic Brain Activity

Qiu-Feng Chen, Hua-Jun Chen, [ ... ], Qun-Tai Shen

Using Random Forest to Improve the Downscaling of Global Livestock Census Data

Gaëlle Nicolas, Timothy P. Robinson, [ ... ], Marius Gilbert

Soft Regulation with Crowd Recommendation: Coordinating Self-Interested Agents in Sociotechnical Systems under Imperfect Information

Yu Luo, Garud Iyengar, Venkat Venkatasubramanian

SMARTbot: A Behavioral Analysis Framework Augmented with Machine Learning to Identify Mobile Botnet Applications

Ahmad Karim, Rosli Salleh, Muhammad Khurram Khan

Exploring Entrainment Patterns of Human Emotion in Social Media

Saike He, Xiaolong Zheng, [ ... ], Zhu Zhang

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