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1,319 results on '"Andrès E"'

1. Fast Truncated SVD of Sparse and Dense Matrices on Graphics Processors

Author

Tomas, Andres E., Quintana-Orti, Enrique S., and Anzt, Hartwig

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, G.4.5
Abstract

We investigate the solution of low-rank matrix approximation problems using the truncated SVD. For this purpose, we develop and optimize GPU implementations for the randomized SVD and a blocked variant of the Lanczos approach. Our work takes advantage of the fact that the two methods are composed of very similar linear algebra building blocks, which can be assembled using numerical kernels from existing high-performance linear algebra libraries. Furthermore, the experiments with several sparse matrices arising in representative real-world applications and synthetic dense test matrices reveal a performance advantage of the block Lanczos algorithm when targeting the same approximation accuracy., Comment: 16 pages, 4 figures

Published
2024
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2. PSPC1 exerts an oncogenic role in AML by regulating a leukemic transcription program in cooperation with PU.1

Author

Hong, Juyeong, Sui, Pinpin, Li, Ying, Xu, Kerryn Y., Lee, Ji-Hoon, Wang, Juan, Chen, Shi, Zhang, Peng, Wingate, Noah, Noor, Asra, Yuan, Yaxia, Hromas, Robert, Zhou, Hongwei, Hamamoto, Karina, Su, Rui, Yin, C. Cameron, Ye, Fengxi, Quesada, Andrés E., Chen, Jianjun, Huang, Suming, Zhou, Daohong, You, M. James, Yang, Feng-Chun, Wang, Jianlong, and Xu, Mingjiang

Published
2025
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8. Optoelectronic properties of GaP:Ti photovoltaic devices

Author

Olea, J., Gonzalo, J., Siegel, J., Braña, A.F., Godoy-Pérez, G., Benítez-Fernández, R., Caudevilla, D., Algaidy, S., Pérez-Zenteno, F., Duarte-Cano, S., Prado, A. del, García-Hemme, E., García-Hernansanz, R., Pastor, D., San-Andrés, E., and Mártil, I.

Published
2024
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11. cleanTS: Automated (AutoML) Tool to Clean Univariate Time Series at Microscales

Author

Shende, Mayur Kishor, Feijoo-Lorenzo, Andres E., and Bokde, Neeraj Dhanraj

Subjects
Computer Science - Databases
Abstract

Data cleaning is one of the most important tasks in data analysis processes. One of the perennial challenges in data analytics is the detection and handling of non-valid data. Failing to do so can result in inaccurate analytics and unreliable decisions. The process of properly cleaning such data takes much time. Errors are prevalent in time series data. It is usually found that real world data is unclean and requires some pre-processing. The analysis of large amounts of data is difficult. This paper is intended to provide an easy to use and reliable system which automates the cleaning process of univariate time series data. Automating the process greatly reduces the time required. Visualizing a large amount of data at once is not very effective. To tackle this issue, an R package cleanTS is proposed. The proposed system provides a way to analyze data on different scales and resolutions. Also, it provides users with tools and a benchmark system for comparing various techniques used in data cleaning., Comment: The cleanTS package is available in CRAN (https://cran.r-project.org/package=cleanTS)

Published
2021
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18. Prophylactic treatment with the c-Abl inhibitor, neurotinib, diminishes neuronal damage and the convulsive state in pilocarpine-induced mice

Author

Chandía-Cristi, América, Gutiérrez, Daniela A., Dulcey, Andrés E., Lara, Marcelo, Vargas, Lina, Lin, Yi-Han, Jimenez-Muñoz, Pablo, Larenas, Gabriela, Xu, Xin, Wang, Amy, Owens, Ashley, Dextras, Christopher, Chen, YuChi, Pinto, Claudio, Marín, Tamara, Almarza-Salazar, Hugo, Acevedo, Keryma, Cancino, Gonzalo I., Hu, Xin, Rojas, Patricio, Ferrer, Marc, Southall, Noel, Henderson, Mark J., Zanlungo, Silvana, Marugan, Juan J., and Álvarez R, Alejandra

Published
2024
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31. Clinicopathologic Features of Therapy-Related Myeloid Neoplasms in Patients with Myeloma in the Era of Novel Therapies

Author

Jelloul, Fatima Zahra, Quesada, Andres E., Yang, Richard K., Li, Shaoying, Wang, Wei, Xu, Jie, Tang, Guilin, Yin, C. Cameron, Fang, Hong, El Hussein, Siba, Khoury, Joseph, Bassett, Roland L., Garcia-Manero, Guillermo, Manasanch, Elizabet E., Orlowski, Robert Z., Qazilbash, Muzaffar H., Patel, Keyur P., Medeiros, L. Jeffrey, and Lin, Pei

Published
2023
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42. The real population of star clusters in the bar of the Large Magellanic Cloud

Author

Piatti, Andrés E.

Subjects
Astrophysics - Astrophysics of Galaxies
Abstract

We report results on star clusters located in the South-Eastern half of the Large Magellanic (LMC) bar from Washington $CT_1$ photometry. Using appropriate kernel density estimators we detected 73 star cluster candidates, three of which do not show any detectable trace of star cluster sequences in their colour-magnitude diagrams (CMDs). We did not detect other 38 previously catalogued clusters, which could not be recognized when visually inspecting the $C$ and $T_1$ images either; the distribution of stars in their respective fields do not resemble that of an stellar aggregate. They represent $\sim$ 33 per cent of all catalogued objects located within the analysed LMC bar field. From matching theoretical isochrones to the cluster CMDs cleaned from field star contamination, we derived ages in the range 7.2 < log($t$ yr$^{-1}$) < 10.1. As far as we are aware, this is the first time homogeneous age estimates based on resolved stellar photometry are obtained for most of the studied clusters. We built the cluster frequency (CF) for the surveyed area, and found that the major star cluster formation activity has taken place during the period log($t$ yr$^{-1}$) $\sim$ 8.0 -- 9.0. Since $\sim$ 100 Myr ago, clusters have been formed during few bursting formation episodes. When comparing the observed CF to that recovered from the star formation rate we found noticeable differences, which suggests that field star and star cluster formation histories could have been significantly different., Comment: 8 pages, 6 figures. Accepted for publication in Astronomy & Astrophysics

Published
2017
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