Ioakeim Perros

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Jimeng SunProfessor at University of Illinois Urbana-ChampaignE-mail confirmado em illinois.edu
Richard VuducGeorgia Institute of TechnologyE-mail confirmado em cc.gatech.edu
Evangelos E. PapalexakisAssociate Professor and Ross Family Chair, University of California RiversideE-mail confirmado em cs.ucr.edu
Joyce C HoEmory UniversityE-mail confirmado em emory.edu
Xiaowei Sherry YanCenter for Health Research, Geisinger Health SystemE-mail confirmado em geisinger.edu
Walter StewartMedcurio, Inc; Johns HopkinsE-mail confirmado em medcurio.com
Jiajia LiNorth Carolina State UniversityE-mail confirmado em ncsu.edu
Fei Wang, FAMIA, FIAHSI, FACMIProfessor at Cornell UniversityE-mail confirmado em med.cornell.edu
Haesun ParkRegents' Professor of Computational Science and Engineering, Georgia Institute of TechnologyE-mail confirmado em cc.gatech.edu
Yan LiuProfessor, Director of Machine Learning Center@USCE-mail confirmado em usc.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAE-mail confirmado em caltech.edu
Li XiongSamuel Dobbs Professor, Computer Science, Biomedical Informatics, Emory UniversityE-mail confirmado em emory.edu
Bistra DilkinaAssoc. Professor of Computer Science and co-Director of the Center for AI in Society, USCE-mail confirmado em usc.edu
Elias B. KhalilAssistant Professor, University of TorontoE-mail confirmado em mie.utoronto.ca
Jyotishman PathakCornell UniversityE-mail confirmado em med.cornell.edu
Ping ZhangThe Ohio State UniversityE-mail confirmado em osu.edu

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Ioakeim Perros

Lead Staff Machine Learning Scientist, HEALTH[at]SCALE

E-mail confirmado em healthatscale.com

Machine Learning Healthcare Tensor Factorization Anomaly Detection


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	97	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	88	2015
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	69	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	68	2017
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	59	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	54	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	44	2020
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	30	2019
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	30	2017
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	27	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	22*	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	9	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	8	2020
Factorization Machines as a Tool for Healthcare I Perros, J Sun TGeorgia Institute of Technology, Atlanta, 2015	2	2015
Reducing Fraud, Waste, and Abuse Through Real-Time AI-Based Screening: Prospective Results in Deployment I Perros, J Tran, M Saeed, A Mark Fendrick, J Guttag, Z Syed NEJM Catalyst Innovations in Care Delivery 5 (10), CAT. 24.0136, 2024		2024
Health data mining using tensor factorization: Methods and applications I Perros Georgia Institute of Technology, 2019		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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