Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Ofir Lindenbaum"'
Autor:
Shelli F. Farhadian, Ofir Lindenbaum, Jun Zhao, Michael J. Corley, Yunju Im, Hannah Walsh, Alyssa Vecchio, Rolando Garcia-Milian, Jennifer Chiarella, Michelle Chintanaphol, Rachela Calvi, Guilin Wang, Lishomwa C. Ndhlovu, Jennifer Yoon, Diane Trotta, Shuangge Ma, Yuval Kluger, Serena Spudich
Publikováno v:
JCI Insight, Vol 7, Iss 13 (2022)
People with HIV (PWH) on antiretroviral therapy (ART) experience elevated rates of neurological impairment, despite controlling for demographic factors and comorbidities, suggesting viral or neuroimmune etiologies for these deficits. Here, we apply m
Externí odkaz:
https://doaj.org/article/8d52c86ee987477d88bfffe03876da1a
Autor:
Ariel Jaffe, Yuval Kluger, Ofir Lindenbaum, Jonathan Patsenker, Erez Peterfreund, Stefan Steinerberger
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 6 (2020)
Word2vec introduced by Mikolov et al. is a word embedding method that is widely used in natural language processing. Despite its success and frequent use, a strong theoretical justification is still lacking. The main contribution of our paper is to p
Externí odkaz:
https://doaj.org/article/f2d427f398794acdb19aac39b9464e1f
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 17:1856-1860
Detection and discrimination of seismic events have important implications. Precise detection of earthquakes may help prevent collateral damage and even save lives. On the other hand, the ability to identify explosions reliably not only helps prevent
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Pure and Applied Geophysics. 178:2403-2418
In this work, an advanced machine learning technique named diffusion maps is applied for array-based earthquake-explosion discrimination. We rely on prior work that utilizes the diffusion map-based discrimination approach for data collected from a si
Publikováno v:
Information Fusion. 55:127-149
In this paper, we address the challenging task of achieving multi-view dimensionality reduction. The goal is to effectively use the availability of multiple views for extracting a coherent low-dimensional representation of the data. The proposed meth
Publikováno v:
Neural networks : the official journal of the International Neural Network Society. 152
Modern datasets often contain large subsets of correlated features and nuisance features, which are not or loosely related to the main underlying structures of the data. Nuisance features can be identified using the Laplacian score criterion, which e
Autor:
Ruaidhri Jackson, Ariel Jaffe, Esen Sefik, Yuval Kluger, Richard A. Flavell, Ofir Lindenbaum, Henry Li, Xiuyuan Cheng, Jun Zhao
Publikováno v:
Proc Natl Acad Sci U S A
Comprehensive and accurate comparisons of transcriptomic distributions of cells from samples taken from two different biological states, such as healthy versus diseased individuals, are an emerging challenge in single-cell RNA sequencing (scRNA-seq)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d28202b7da77b0178c26b612f918c1b
https://europepmc.org/articles/PMC8179149/
https://europepmc.org/articles/PMC8179149/
Autor:
Mina L. Xu, Lina Irshaid, Rory M. Shallis, Samuel G. Katz, Jonathan Bleiberg, Ofir Lindenbaum, James Garritano, Jonathan Patsenker, Ethan Weinberger, Yuval Kluger
Publikováno v:
Archives of pathologylaboratory medicine. 146(2)
Context.— Large cell transformation (LCT) of indolent B-cell lymphomas, such as follicular lymphoma (FL) and chronic lymphocytic leukemia (CLL), signals a worse prognosis, at which point aggressive chemotherapy is initiated. Although LCT is relativ
Autor:
Ofir Lindenbaum, Stefan Steinerberger
We study the problem of exact support recovery based on noisy observations and present Refined Least Squares (RLS). Given a set of noisy measurement $$ \myvec{y} = \myvec{X}\myvec{\theta}^* + \myvec{\omega},$$ and $\myvec{X} \in \mathbb{R}^{N \times
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce50c570e638ca8dc131d0af9bc5ff0b