COPA: Constrained PARAFAC2 for Sparse & Large Datasets

COPA: Constrained PARAFAC2 for Sparse & Large Datasets

12 March 2018

Evangelos E. Papalexakis

Elizabeth Searles

Jimeng Sun

Papers citing "COPA: Constrained PARAFAC2 for Sparse & Large Datasets"

5 / 5 papers shown

Title
D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams Shingo Higashiguchi Yasuko Matsubara Koki Kawabata Taichi Murayama Yasushi Sakurai AI4TS 56 0 0 01 May 2025
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping Ioakeim Perros Evangelos E. Papalexakis H. Park R. Vuduc Xiaowei Yan C. Defilippi Walter F. Stewart Jimeng Sun 17 599 0 14 Mar 2018
Federated Tensor Factorization for Computational Phenotyping Yejin Kim Jimeng Sun Hwanjo Yu Xiaoqian Jiang FedML 28 114 0 11 Apr 2017
SPARTan: Scalable PARAFAC2 for Large & Sparse Data Ioakeim Perros Evangelos E. Papalexakis Fei Wang R. Vuduc Elizabeth Searles Michael Thompson Jimeng Sun 19 72 0 13 Mar 2017
A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor Factorization Kejun Huang N. Sidiropoulos A. Liavas 33 171 0 13 Jun 2015