Caffo, Brian

1. Prospective Learning: Principled Extrapolation to the Future
   2022/01/19 by Ashwin De Silva, Rahul Ramesh, De Silva, Ashwin +91 · 2 voices · 2 citations
   Computer Science · Medicine · #Anomaly Detection Techniques and Applications #Data-Driven Disease Surveillance #Domain Adaptation and Few-Shot Learning #cs.AI #cs.LG
2. Evidential Uncertainty Quantification: A Variance-Based Perspective
   2023/11/19 by Duan, Ruxiao, Caffo, Brian, Bai, Harrison X. +2 · 3 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. Sparse Median Graphs Estimation in a High Dimensional Semiparametric Model
   2013/10/11 by Fang Han, Han Liu, Han, Fang +3 · 1 citation
   Computer Science · Mathematics · #Applications (stat.AP) #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Statistical Methods and Inference
4. PCA leverage: outlier detection for high-dimensional functional magnetic\n resonance imaging data
   2015/09/02 by Amanda F. Mejia, Mary Beth Nebel, Mejia, Amanda F. +7 · 1 citation
   Computer Science · Engineering · Neuroscience · #Blind Source Separation Techniques #FOS: Computer and information sciences #Fault Detection and Control Systems #Methodology (stat.ME) #Neural dynamics and brain function
5. Functional Mediation Analysis with an Application to Functional Magnetic Resonance Imaging Data
   2018/05/17 by Zhao, Yi, Luo, Xi, Lindquist, Martin +1 · 1 citation
   #Applications (stat.AP) #FOS: Computer and information sciences
6. Joint Estimation of Multiple Graphical Models from High Dimensional Time Series
   2013/11/01 by Huitong Qiu, Qiu, Huitong, Fang Han +5 · 1 citation
   Computer Science · Neuroscience · #Blind Source Separation Techniques #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (stat.ML) #Neural dynamics and brain function