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10/12/2020
Detecting the skewness of data from the sample size and the five-number summary
For clinical studies with continuous outcomes, when the data are potenti...
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09/14/2020
Demystifying Deep Learning in Predictive Spatio-Temporal Analytics: An Information-Theoretic Framework
Deep learning has achieved incredible success over the past years, espec...
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08/07/2020
Ontology-based Graph Visualization for Summarized View
Data summarization that presents a small subset of a dataset to users ha...
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07/11/2020
AutoTrajectory: Label-free Trajectory Extraction and Prediction from Videos using Dynamic Points
Current methods for trajectory prediction operate in supervised manners,...
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08/22/2019
Reinforcement Learning in Healthcare: A Survey
As a subfield of machine learning, reinforcement learning (RL) aims at e...
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08/03/2018
A Cooperative Group Optimization System
A cooperative group optimization (CGO) system is presented to implement ...
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01/29/2018
Testing normality using the summary statistics with application to meta-analysis
As the most important tool to provide high-level evidence-based medicine...
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11/21/2017
Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics
Predicting epidemic dynamics is of great value in understanding and cont...
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09/10/2010
Multiplex Structures: Patterns of Complexity in Real-World Networks
Complex network theory aims to model and analyze complex systems that co...
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05/13/2002