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Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification.
IEEE transactions on neural networks and learning systems
Feb 4, 2021
Person re-identification (re-ID) favors discriminative representations over unseen shots to recognize identities in disjoint camera views. Effective methods are developed via pair-wise similarity learning to detect a fixed set of region features, whi...
Use of a Commercially Available Deep Learning Algorithm to Measure the Solid Portions of Lung Cancer Manifesting as Subsolid Lesions at CT: Comparisons with Radiologists and Invasive Component Size at Pathologic Examination.
Radiology
Feb 2, 2021
Background The solid portion size of lung cancer lesions manifesting as subsolid lesions is key in their management, but the automatic measurement of such lesions by means of a deep learning (DL) algorithm needs evaluation. Purpose To evaluate the pe...
Computational identification of ubiquitination sites in Arabidopsis thaliana using convolutional neural networks.
Plant molecular biology
Feb 1, 2021
We developed two CNNs for predicting ubiquitination sites in Arabidopsis thaliana, demonstrated their competitive performance, analyzed amino acid physicochemical properties and the CNN structures, and predicted ubiquitination sites in Arabidopsis. A...
Machine learning transition temperatures from 2D structure.
Journal of molecular graphics & modelling
Jan 29, 2021
A priori knowledge of physicochemical properties such as melting and boiling could expedite materials discovery. However, theoretical modeling from first principles poses a challenge for efficient virtual screening of potential candidates. As an alte...
Head motion classification using thread-based sensor and machine learning algorithm.
Scientific reports
Jan 29, 2021
Human machine interfaces that can track head motion will result in advances in physical rehabilitation, improved augmented reality/virtual reality systems, and aid in the study of human behavior. This paper presents a head position monitoring and cla...
nnU-Net: Further Automating Biomedical Image Autosegmentation.
Radiology. Imaging cancer
Jan 29, 2021
Machine learning predictive model for severe COVID-19.
Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
Jan 28, 2021
To develop a modified predictive model for severe COVID-19 in people infected with Sars-Cov-2. We developed the predictive model for severe patients of COVID-19 based on the clinical date from the Tumor Center of Union Hospital affiliated with Tongji...
HDG-select: A novel GUI based application for gene selection and classification in high dimensional datasets.
PloS one
Jan 28, 2021
The selection and classification of genes is essential for the identification of related genes to a specific disease. Developing a user-friendly application with combined statistical rigor and machine learning functionality to help the biomedical res...
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