Ioakeim Perros

Publication Activity (10 Years)

Years Active: 2015-2020
Publications (10 Years): 16

Top Topics

Nonnegative Matrix Factorization

Electronic Health Records

Completely Unsupervised

Tensor Factorization

Top Venues

J. Biomed. Informatics

Publications

Ioakeim Perros, Xiaowei Yan, James B. Jones, Jimeng Sun, Walter F. Stewart
Using the PARAFAC2 tensor factorization on EHR audit data to understand PCP desktop work. J. Biomed. Informatics 101 (2020)
Ardavan Afshar, Ioakeim Perros, Haesun Park, Christopher deFilippi, Xiaowei Yan, Walter F. Stewart, Joyce C. Ho, Jimeng Sun
TASTE: temporal and static tensor factorization for phenotyping electronic health records. CHIL (2020)
Furong Huang, U. N. Niranjan, Ioakeim Perros, Robert Chen, Jimeng Sun, Anima Anandkumar
Guaranteed Scalable Learning of Latent Tree Models. UAI (2019)
Ioakeim Perros, Evangelos E. Papalexakis, Richard W. Vuduc, Elizabeth Searles, Jimeng Sun
Temporal phenotyping of medically complex children via PARAFAC2 tensor factorization. J. Biomed. Informatics 93 (2019)
Ardavan Afshar, Ioakeim Perros, Haesun Park, Christopher deFilippi, Xiaowei Yan, Walter F. Stewart, Joyce C. Ho, Jimeng Sun
TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records. CoRR (2019)
Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park, Richard W. Vuduc, Xiaowei Yan, Christopher deFilippi, Walter F. Stewart, Jimeng Sun
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping. KDD (2018)
Ardavan Afshar, Ioakeim Perros, Evangelos E. Papalexakis, Elizabeth Searles, Joyce C. Ho, Jimeng Sun
COPA: Constrained PARAFAC2 for Sparse & Large Datasets. CIKM (2018)
Ardavan Afshar, Ioakeim Perros, Evangelos E. Papalexakis, Elizabeth Searles, Joyce C. Ho, Jimeng Sun
COPA: Constrained PARAFAC2 for Sparse & Large Datasets. CoRR (2018)
Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park, Richard W. Vuduc, Xiaowei Yan, Christopher deFilippi, Walter F. Stewart, Jimeng Sun
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping. CoRR (2018)
Ardavan Afshar, Joyce C. Ho, Bistra Dilkina, Ioakeim Perros, Elias B. Khalil, Li Xiong, Vaidy S. Sunderam
CP-ORTHO: An Orthogonal Tensor Factorization Framework for Spatio-Temporal Data. SIGSPATIAL/GIS (2017)
Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard W. Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun
SPARTan: Scalable PARAFAC2 for Large & Sparse Data. CoRR (2017)
Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard W. Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun
SPARTan: Scalable PARAFAC2 for Large & Sparse Data. KDD (2017)
Jiajia Li, Jee Choi, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc
Model-Driven Sparse CP Decomposition for Higher-Order Tensors. IPDPS (2017)
Ioakeim Perros, Fei Wang, Ping Zhang, Peter B. Walker, Richard W. Vuduc, Jyotishman Pathak, Jimeng Sun
Polyadic Regression and its Application to Chemogenomics. SDM (2017)
Dehua Cheng, Richard Peng, Yan Liu, Ioakeim Perros
SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling. NIPS (2016)
Ioakeim Perros, Robert Chen, Richard W. Vuduc, Jimeng Sun
Sparse Hierarchical Tucker Factorization and its Application to Healthcare. CoRR (2016)
Jiajia Li, Casey Battaglino, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc
An input-adaptive and in-place approach to dense tensor-times-matrix multiply. SC (2015)
Ioakeim Perros, Robert Chen, Richard W. Vuduc, Jimeng Sun
Sparse Hierarchical Tucker Factorization and Its Application to Healthcare. ICDM (2015)