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Browsing by Academic Advisor Liu, Han
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Showing results 1 to 20 of 26
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Class Year
Author(s)
Title
Advisor
2015
McNellis, Ryan
Classification of Autism Disorder Using Functional Connectivity Networks Obtained Through Sparse Inverse Covariance Estimation
Liu, Han
-
Lu, Junwei
Combinatorial Inference for Large-Scale Data Analysis
Liu, Han
;
Fan, Jianqing
2017
Xin, Derrick
dnn: An R Package for Feed Foward, Convolutional, and Recurrent Neural Networks
Liu, Han
2015
Khore, Karthik
An Empirical Evaluation of Deep Architecture Classification Using Simulated Datasets
Liu, Han
2017
Chen, Xin
Forward-Looking Factor Models of Partial Default Correlations: Identification of Systemic Importance
Liu, Han
2017
Joshi, Shreyas
A Framework for Implementing Predictive Analytics in the High Frequency Trading Realm
Liu, Han
2016
Xiao, Felix
Graph Partitioning and Distance Correlation Approaches to Brain Parcellation
Liu, Han
2016
Zou, Jiawei
A Graphical Model Approach to Study the Neural Network during Narrative Comprehension
Liu, Han
2017
Tian, Amy
A High-Dimensional Visualization System with Applications to Portfolio Selection
Liu, Han
2015
Nathan, Shreya
Imbalanced fMRI Classification: An Ensemble Approach
Liu, Han
2014
Charash, Philip
An Intensive Analysis of Clustering and Dimensionality Reduction: Applying the Expectation-Maximization Algorithm and Principal Component Analysis to Classify Handwritten Digits
Liu, Han
-
Eisenach, Carson
Modern Optimization for Statistics and Learning
Liu, Han
2015
Zhang, Rebecca
Multi-task Models for Predicting the Progression of Alzheimer's from MRI
Liu, Han
2016
Zhou, Eddie
Nested Models and Nonparametric LSTMs in Vision-Based Autonomous Driving and Developing an R Package for Bayesian-Optimized Deep Learning
Liu, Han
2017
Andronic, Dan-Cristian
NEURAL NETWORKS: DETECTING DIABETIC RETINOPATHY IN RETINA IMAGES
Liu, Han
-
Wang, Zhaoran
Nonconvex Statistical Optimization
Liu, Han
2016
Hssaine, Chamsi
A Nonparametric Statistical Approach to Inter-Subject Functional Connectivity Analyses of the Brain
Liu, Han
2017
Liu, Lydia
On the Two-Sample Statistic Approach to Generative Adversarial Networks
Liu, Han
-
Ekwedike, Emmanuel
Optimal Decision Making via Stochastic Modeling and Machine Learning: Applications to Resource Allocation Problems and Sequential Decision Problems
Massey, William
;
Liu, Han
2017
Ding, Yue
Power Enhanced Binary Expansion Testing Procedures for Independence Detection
Liu, Han