Ioakeim Perros
Ioakeim Perros
Lead Staff Machine Learning Scientist, HEALTH[at]SCALE
Verified email at
Cited by
Cited by
SPARTan: Scalable PARAFAC2 for large & sparse data
I Perros, EE Papalexakis, F Wang, R Vuduc, E Searles, M Thompson, ...
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
An input-adaptive and in-place approach to dense tensor-times-matrix multiply
J Li, C Battaglino, I Perros, J Sun, R Vuduc
Proceedings of the International Conference for High Performance Computing …, 2015
Model-driven sparse CP decomposition for higher-order tensors
J Li, J Choi, I Perros, J Sun, R Vuduc
2017 IEEE international parallel and distributed processing symposium (IPDPS …, 2017
Sparse hierarchical tucker factorization and its application to healthcare
I Perros, R Chen, R Vuduc, J Sun
2015 IEEE International Conference on Data Mining, 943-948, 2015
SPALS: Fast alternating least squares via implicit leverage scores sampling
D Cheng, R Peng, I Perros, Y Liu
Advances In Neural Information Processing Systems, 721-729, 2016
COPA: Constrained PARAFAC2 for sparse & large datasets
A Afshar, I Perros, EE Papalexakis, E Searles, J Ho, J Sun
Proceedings of the 27th ACM International Conference on Information and …, 2018
Taste: temporal and static tensor factorization for phenotyping electronic health records
A Afshar, I Perros, H Park, C Defilippi, X Yan, W Stewart, J Ho, J Sun
Proceedings of the ACM Conference on Health, Inference, and Learning, 193-203, 2020
CP-ORTHO: An orthogonal tensor factorization framework for spatio-temporal data
A Afshar, JC Ho, B Dilkina, I Perros, EB Khalil, L Xiong, V Sunderam
Proceedings of the 25th ACM SIGSPATIAL international conference on advances …, 2017
Temporal phenotyping of medically complex children via PARAFAC2 tensor factorization
I Perros, EE Papalexakis, R Vuduc, E Searles, J Sun
Journal of biomedical informatics 93, 103125, 2019
Sustain: Scalable unsupervised scoring for tensors and its application to phenotyping
I Perros, EE Papalexakis, H Park, R Vuduc, X Yan, C Defilippi, WF Stewart, ...
Proceedings of the 24th acm sigkdd international conference on knowledge …, 2018
Scalable latent tree model and its application to health analytics
F Huang, UN Niranjan, I Perros, R Chen, J Sun, A Anandkumar
arXiv preprint arXiv:1406.4566, 2014
Polyadic Regression and its Application to Chemogenomics
I Perros, F Wang, P Zhang, P Walker, R Vuduc, J Pathak, J Sun
SIAM International Conference on Data Mining, 2017
Using the PARAFAC2 tensor factorization on EHR audit data to understand PCP desktop work
I Perros, X Yan, JB Jones, J Sun, WF Stewart
Journal of Biomedical Informatics 101, 103312, 2020
Factorization Machines as a Tool for Healthcare
I Perros, J Sun
TGeorgia Institute of Technology, Atlanta, 2015
Health data mining using tensor factorization: Methods and applications
I Perros
Georgia Institute of Technology, 2019
Polyadic Regression and its Application to Chemogenomics-Supplementary Material
I Perros, F Wang, P Zhang, P Walker, R Vuduc, J Pathak, J Sun
Using the PARAFAC2 Tensor Factorization on EHR Audit Data to Model Clinician Behavior
IK Perros, X Yan, JB Jones, J Sun, WF Stewart
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