Ioakeim Perros

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

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Ioakeim Perros

Lead Staff Machine Learning Scientist, HEALTH[at]SCALE

Email yang diverifikasi di healthatscale.com

Machine Learning Healthcare Tensor Factorization Anomaly Detection


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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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