Ioakeim Perros

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Jimeng SunProfessor at University of Illinois Urbana-ChampaignAdresă de e-mail confirmată pe illinois.edu
Richard VuducGeorgia Institute of TechnologyAdresă de e-mail confirmată pe cc.gatech.edu
Evangelos E. PapalexakisAssociate Professor, University of California RiversideAdresă de e-mail confirmată pe cs.ucr.edu
Joyce C HoEmory UniversityAdresă de e-mail confirmată pe emory.edu
Xiaowei Sherry YanCenter for Health Research, Geisinger Health SystemAdresă de e-mail confirmată pe geisinger.edu
Walter StewartMedcurio, Inc; Johns HopkinsAdresă de e-mail confirmată pe medcurio.com
Jiajia LiNorth Carolina State UniversityAdresă de e-mail confirmată pe ncsu.edu
Fei Wang, FAMIA, FIAHSI, FACMIAssociate Professor at Cornell UniversityAdresă de e-mail confirmată pe med.cornell.edu
Haesun ParkRegents' Professor of Computational Science and Engineering, Georgia Institute of TechnologyAdresă de e-mail confirmată pe cc.gatech.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAAdresă de e-mail confirmată pe caltech.edu
Yan LiuProfessor, Director of Machine Learning Center@USCAdresă de e-mail confirmată pe usc.edu
Li XiongSamuel Dobbs Professor, Computer Science, Biomedical Informatics, Emory UniversityAdresă de e-mail confirmată pe emory.edu
Bistra DilkinaAssoc. Professor of Computer Science and co-Director of the Center for AI in Society, USCAdresă de e-mail confirmată pe usc.edu
Elias B. KhalilAssistant Professor, University of TorontoAdresă de e-mail confirmată pe mie.utoronto.ca
Jyotishman PathakCornell UniversityAdresă de e-mail confirmată pe med.cornell.edu
Ping ZhangThe Ohio State UniversityAdresă de e-mail confirmată pe osu.edu

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Ioakeim Perros

Lead Staff Machine Learning Scientist, HEALTH[at]SCALE

Adresă de e-mail confirmată pe healthatscale.com

Machine Learning Healthcare Tensor Factorization Anomaly Detection


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	85	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	81	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	62	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	61	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	44	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	37	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	31	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	27	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	22	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	22	2018
Scalable latent tree model and its application to health analytics F Huang, I Perros, R Chen, J Sun, A Anandkumar arXiv preprint arXiv:1406.4566, 2014	20*	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	5	2020
Factorization Machines as a Tool for Healthcare I Perros, J Sun TGeorgia Institute of Technology, Atlanta, 2015	2	2015
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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