Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Atluri, Gowtham"'
Brain parcellations play a ubiquitous role in the analysis of magnetic resonance imaging (MRI) datasets. Over 100 years of research has been conducted in pursuit of an ideal brain parcellation. Different methods have been developed and studied for co
Externí odkaz:
http://arxiv.org/abs/2107.03475
Autor:
Akar, Simon, Atluri, Gowtham, Boettcher, Thomas, Peters, Michael, Schreiner, Henry, Sokoloff, Michael, Stahl, Marian, Tepe, William, Weisser, Constantin, Williams, Mike
The locations of proton-proton collision points in LHC experiments are called primary vertices (PVs). Preliminary results of a hybrid deep learning algorithm for identifying and locating these, targeting the Run 3 incarnation of LHCb, have been descr
Externí odkaz:
http://arxiv.org/abs/2103.04962
Autor:
Wang, Chenggang, Kennedy, Sean, Li, Haipeng, Hudson, King, Atluri, Gowtham, Wei, Xuetao, Sun, Wenhai, Wang, Boyang
Publikováno v:
13th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec '20), July 8--10, 2020, Linz (Virtual Event), Austria
This paper investigates the privacy leakage of smart speakers under an encrypted traffic analysis attack, referred to as voice command fingerprinting. In this attack, an adversary can eavesdrop both outgoing and incoming encrypted voice traffic of a
Externí odkaz:
http://arxiv.org/abs/2005.09800
Autor:
Agrawal, Saurabh, Steinbach, Michael, Boley, Daniel, Chatterjee, Snigdhansu, Atluri, Gowtham, Dang, Anh The, Liess, Stefan, Kumar, Vipin
In many domains, there is significant interest in capturing novel relationships between time series that represent activities recorded at different nodes of a highly complex system. In this paper, we introduce multipoles, a novel class of linear rela
Externí odkaz:
http://arxiv.org/abs/1810.02950
Autor:
Agrawal, Saurabh, Verma, Saurabh, Atluri, Gowtham, Karpatne, Anuj, Liess, Stefan, Macdonald III, Angus, Chatterjee, Snigdhansu, Kumar, Vipin
Time-series data is being increasingly collected and stud- ied in several areas such as neuroscience, climate science, transportation, and social media. Discovery of complex patterns of relationships between individual time-series, using data-driven
Externí odkaz:
http://arxiv.org/abs/1802.06095
Large volumes of spatio-temporal data are increasingly collected and studied in diverse domains including, climate science, social sciences, neuroscience, epidemiology, transportation, mobile health, and Earth sciences. Spatio-temporal data differs f
Externí odkaz:
http://arxiv.org/abs/1711.04710
Autor:
Karpatne, Anuj, Atluri, Gowtham, Faghmous, James, Steinbach, Michael, Banerjee, Arindam, Ganguly, Auroop, Shekhar, Shashi, Samatova, Nagiza, Kumar, Vipin
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering, 29(10), pp.2318-2331. 2017
Data science models, although successful in a number of commercial domains, have had limited applicability in scientific problems involving complex physical phenomena. Theory-guided data science (TGDS) is an emerging paradigm that aims to leverage th
Externí odkaz:
http://arxiv.org/abs/1612.08544
Protein interaction networks are a promising type of data for studying complex biological systems. However, despite the rich information embedded in these networks, they face important data quality challenges of noise and incompleteness that adversel
Externí odkaz:
http://arxiv.org/abs/1210.6912
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