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In Neurosurgery clinics of North America
Epileptic networks, SEEG, Seizure, Semiology, Stereoelectroencephalography, Stereotypies
CT-based COVID-19 Triage: Deep Multitask Learning Improves Joint Identification and Severity Quantification
Mikhail Goncharov, Maxim Pisov, Alexey Shevtsov, Boris Shirokikh, Anvar Kurmukov, Ivan Blokhin, Valeria Chernina, Alexander Solovev, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev
Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks.
In Physical chemistry chemical physics : PCCP
Fare Clyde, Turcani Lukas, Pyzer-Knapp Edward O
Deep Theory of Functional Connections: A New Method for Estimating the Solutions of Partial Differential Equations.
In Machine learning and knowledge extraction
Leake Carl, Mortari Daniele
deep learning, neural network, partial differential equation, theory of functional connections
In Frontiers in bioengineering and biotechnology
Guerra Bruna Maria Vittoria, Ramat Stefano, Beltrami Giorgio, Schmid Micaela
Ambient-Assisted Living, geometric features, machine learning, pose recognition, skeleton tracking, vision-based activity recognition
Preoperative Prediction of Lymph Node Metastasis in Patients With Early-T-Stage Non-small Cell Lung Cancer by Machine Learning Algorithms.
In Frontiers in oncology
Wu Yijun, Liu Jianghao, Han Chang, Liu Xinyu, Chong Yuming, Wang Zhile, Gong Liang, Zhang Jiaqi, Gao Xuehan, Guo Chao, Liang Naixin, Li Shanqing
cross-validation, lymph node metastasis, machine learning, non-small cell lung cancer, predictive model