96 citations · 224 across the 10 of their papers we have counts for
10 papers
Ranking hierarchical multi-label classification results with mLPRs
Yuting Ye, Christine Ho, Ci-Ren Jiang +2
Hierarchical multi-label classification (HMC) has gained considerable attention in recent decades. A seminal line of HMC research addresses the problem in two stages: first, traini…
Eigen-Adjusted Functional Principal Component Analysis
Ci-Ren Jiang, Eardi Lila, John AD Aston +1
Functional Principal Component Analysis (FPCA) has become a widely-used dimension reduction tool for functional data analysis. When additional covariates are available, existing FP…
HierLPR: Decision making in hierarchical multi-label classification with local precision rates
Christine Ho, Yuting Ye, Ci-Ren Jiang +2
In this article we propose a novel ranking algorithm, referred to as HierLPR, for the multi-label classification problem when the candidate labels follow a known hierarchical struc…
Gaussian Behavior in Zeckendorf Decompositions From Lattices
Eric Chen, Robin Chen, Lucy Guo +4
Zeckendorf's Theorem states that any positive integer can be written uniquely as a sum of non-adjacent Fibonacci numbers. We consider higher-dimensional lattice analogues, where a…
Sensible Functional Linear Discriminant Analysis
Lu-Hung Chen, Ci-Ren Jiang
The focus of this paper is to extend Fisher's linear discriminant analysis (LDA) to both densely re-corded functional data and sparsely observed longitudinal data for general -c…
Multi-dimensional Functional Principal Component Analysis
Lu-Hung Chen, Ci-Ren Jiang
Functional principal component analysis is one of the most commonly employed approaches in functional and longitudinal data analysis and we extend it to analyze functional/longitud…