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ORCIDIoakeim Perros
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2020 – today
- 2020
[b1]Ioakeim Perros:
Health Data Mining using Tensor Factorization: Methods and Applications. Georgia Institute of Technology, Atlanta, GA, USA, 2020- [j2]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: 103312 (2020) - [c11]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: 193-203
2010 – 2019
- 2019
- [j1]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) - [c10]Furong Huang, U. N. Niranjan, Ioakeim Perros, Robert Chen, Jimeng Sun, Anima Anandkumar:
Guaranteed Scalable Learning of Latent Tree Models. UAI 2019: 883-893 - [i5]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 abs/1911.05843 (2019) - 2018
- [c9]Ardavan Afshar, Ioakeim Perros, Evangelos E. Papalexakis, Elizabeth Searles, Joyce C. Ho, Jimeng Sun:
COPA: Constrained PARAFAC2 for Sparse & Large Datasets. CIKM 2018: 793-802 - [c8]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: 2080-2089 - [i4]Ardavan Afshar, Ioakeim Perros, Evangelos E. Papalexakis, Elizabeth Searles, Joyce C. Ho, Jimeng Sun:
COPA: Constrained PARAFAC2 for Sparse & Large Datasets. CoRR abs/1803.04572 (2018) - [i3]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 abs/1803.05473 (2018) - 2017
- [c7]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: 67:1-67:4 - [c6]Jiajia Li, Jee Choi, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc:
Model-Driven Sparse CP Decomposition for Higher-Order Tensors. IPDPS 2017: 1048-1057 - [c5]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: 375-384 - [c4]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: 72-80 - [i2]Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard W. Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun:
SPARTan: Scalable PARAFAC2 for Large & Sparse Data. CoRR abs/1703.04219 (2017) - 2016
- [c3]Dehua Cheng, Richard Peng, Yan Liu, Ioakeim Perros:
SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling. NIPS 2016: 721-729 - [i1]Ioakeim Perros, Robert Chen, Richard W. Vuduc, Jimeng Sun:
Sparse Hierarchical Tucker Factorization and its Application to Healthcare. CoRR abs/1610.07722 (2016) - 2015
- [c2]Ioakeim Perros, Robert Chen, Richard W. Vuduc, Jimeng Sun:
Sparse Hierarchical Tucker Factorization and Its Application to Healthcare. ICDM 2015: 943-948 - [c1]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: 76:1-76:12
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