DOI: 10.1145/3097983.3098065 Corpus ID: 27255988. Prognosis and Diagnosis of Parkinson's Disease Using Multi-Task Learning @article{Emrani2017PrognosisAD, title={Prognosis and Diagnosis of Parkinson's Disease Using Multi-Task Learning}, author={Saba Emrani and Anya McGuirk and W. Xiao}, journal={Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and …

Saba Emrani. Electrical & Computer Engineering. Works 5; Employment Education Works (5) Actions Download BibTeX Download Plain Text View JSON. 2015 journal

Isfahan University of Medical Sciences Parween, Saba. Umeå universitet, Medicinska recommendations of the International Institute of Welding. 10822. Bridge fatigue guidance.

Saba emrani

Topo-Geometric Frameworks for Physiological Signal Processing. We rst present our framework for exploiting the intrinsic topology of signals to detect quasi-harmonic behaviors. Using delay embeddings, we transform the signal into a point cloud, whose topology re ects its periodic behavior. Persistent 2017-02-19 Analyzing Parkinson’s data with SAS® machine learning. McGuirk and two other data scientists (Wei Xiao and Saba Emrani, both formerly of SAS) used the PPMI project data and applied multitask machine learning to develop a model that can forecast progression of the disease for new Parkinson’s patients. DOI: 10.1145/3097983.3098065 Corpus ID: 27255988.

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Coffee and Conversation with Entrepreneur: Mahta Emrani- Aug 08,19. Coffee and Mirror in Mirror - Saba Ensemble Live in Concert- Jun 03,17. Mirror in

Facebook gives people the power to share NC State researchers have developed an efficient algorithm that can interpret the wheezing of patients with breathing difficulties to give medical providers information about what’s happening in the lungs. The research is part of a larger, ongoing project to develop wearable smart medical sensors for monitoring, collecting and interpreting personal health data. 1124-55-225 Saba Emrani* (semrani@ncsu.edu). Topo-Geometric Frameworks for Physiological Signal Processing.

Saba EMRANI | Cited by 211 | of Apple Inc., Cupertino | Read 20 publications | Contact Saba EMRANI

Saba Emrani SAS Institute Inc. Cary, North Carolina semrani@ncsu.edu Ilknur Kaynar Kabul SAS Institute Inc. Cary, North Carolina ilknur.kaynarkabul@sas.com Jorge Silva SAS Institute Inc. Cary, North Carolina jorge.silva@sas.com ABSTRACT Multi-task learning is a type of transfer learning that trains multiple 2014-10-02 · Authors: Saba Emrani, Hamid Krim (Submitted on 2 Oct 2014) Abstract: In this paper, we present a new approach for analyzing gene expression data that builds on topological characteristics of time series. 1124-55-225 Saba Emrani* (semrani@ncsu.edu). Topo-Geometric Frameworks for Physiological Signal Processing. We rst present our framework for exploiting the intrinsic topology of signals to detect quasi-harmonic behaviors. Using delay embeddings, we transform the signal into a point cloud, whose topology re ects its periodic behavior.

Most frequent co-Author Saba Emrani, PhD Senior Machine Learning Engineer at Apple San Francisco Bay Area 500+ connections Saba Emrani. Electrical & Computer Engineering. Works 5; Employment Education Works (5) Actions Download BibTeX Download Plain Text View JSON.
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2016-07-24 · Authors: Saba Emrani, Hamid Krim (Submitted on 24 Jul 2016) Abstract: We propose a geometric model-free causality measurebased on multivariate delay embedding that can efficiently detect linear and nonlinear causal interactions between time series with no prior information.

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