議程

Talk 1:

Construction of Maximin L1 -Distance Latin Hypercube Designs

Speaker: Prof. Hongquan Xu, University of California, Los Angeles

Talk 2: 
Gradient-enhanced Gaussian Process Models: What, Why and How 

Speaker: Prof. Peter Chien, University of Wisconsin-Madison

Talk 3:

Subsampling design for massive data

Speaker: Prof. HaiYing Wang, University of Connecticut

Talk 4:

Optimal Exact Designs for Small Studies in Toxicology with Applications to Hormesis via Metaheuristics

Speakers: Prof. Weng Kee Wong, University of California, Los Angeles; Mr. Brain Wu, National Cheng Kung University

Talk 1:

Improving Medical Image Segmentation Using Cross-Domain Augmentation Strategies

Speakers: Prof. Ming-Ching Chang, College of Nanotechnology, Science, and Engineering Department of Computer Science

Talk 2:

Clinical Practice Applications of Intelligent Diagnosis and Prognosis in Neuroimage

Speakers: Prof. Syu-Jyun Peng, Professional Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University

Talk 3:

Fast Bayesian Whole Brain Connectivity Estimation by GPU-Enhanced Gaussian Process 

Speakers: Prof. Hakmook Kang, Director, IDDRC Biostatistics and Bioinformatics Core  Vanderbilt Kennedy Center