Oct 19, 2020 · We propose REPAIR, a Robust tEmporal PARAFAC2 method for IRregular tensor factorization and completion method, to complete an irregular tensor and extract ...

EHR data do not always directly and reliably map to medical concepts that clinical researchers need or use [20]. Tensor factorization methods have shown great ...

This work proposes REPAIR, a Robust tEmporal PARAFAC2 method for IRregular tensor factorization and completion method, to complete an irregular tensor and ...

Tensor factorization has received increasing interest due to its intrinsic ability to capture the multi-dimensional structure in the data. It has a wide range ...

Dec 10, 2021 · We propose 1) robust temporal PARAFAC2 for irregular tensor factorization and completion with potential missing and erroneous values;

Robust Irregular Tensor Factorization and Completion for Temporal Health Data Analysis. By Yifei Ren, Jian Lou, Li Xiong, and Joyce C. Ho. 2020.

Robust Irregular Tensor Factorization and Completion for Temporal Health Data Analysis. https://doi.org/10.1145/3340531.3411982.

Robust irregular tensor factorization and completion for temporal health data analysis. Y Ren, J Lou, L Xiong, JC Ho. Proceedings of the 29th ACM International ...

BUFFET: Robust irregular tensor factorization and completion for temporal health data analysis. Yifei Ren, Jian Lou, Li Xiong, and Joyce C Ho. In Proceedings ...

Apr 8, 2024 · We propose a federated PARAFAC2 factorization to extract interpretable clinical phenotypes when the data are distributed across multiple entities.