Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Lakshminarayan Choudur"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Segregation is a threat to the aspirations of producing a cohesive society and modelling its dynamics can be done in order to help design preventative measures. This work explores the question of whether the network topologies of urban space
Externí odkaz:
https://doaj.org/article/9f71be0ac88448ea88010ff29e245e79
Predictive modeling of criminal recidivism, or whether people will re-offend in the future, has a long and contentious history. Modern causal inference methods allow us to move beyond prediction and target the "treatment effect" of a specific interve
Externí odkaz:
http://arxiv.org/abs/2011.11483
Autor:
Lakshminarayan, Choudur, Basil, Tony
We present algorithms for the detection of a class of heart arrhythmias with the goal of eventual adoption by practicing cardiologists. In clinical practice, detection is based on a small number of meaningful features extracted from the heartbeat cyc
Externí odkaz:
http://arxiv.org/abs/1607.03822
Publikováno v:
Technometrics, 2001 Feb 01. 43(1), 66-72.
Externí odkaz:
https://www.jstor.org/stable/1270858
Autor:
Lakshminarayan, Choudur1,2 (AUTHOR) choudur.lakshminarayan@teradata.com, Yin, Mingzhang1 (AUTHOR)
Publikováno v:
Applied Stochastic Models in Business & Industry. Nov2020, Vol. 36 Issue 6, p1014-1028. 15p.
In criminal justice analytics, the widely-studied problem of recidivism prediction (forecasting re-offenses after release or parole) is fraught with ethical missteps. In particular, Machine Learning (ML) models rely on historical patterns of behavior
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::326a1712ec97b98237010231958cdaf8
http://arxiv.org/abs/2011.11483
http://arxiv.org/abs/2011.11483
Autor:
Basil, Tony, Lakshminarayan, Choudur
Publication in the conference proceedings of EUSIPCO, Lisbon, Portugal, 2014
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0448a79684d6bb206d4df5afc7becb49
Autor:
Pavel Smirnov, Kliton Andrea, Lakshminarayan Choudur, Alexander Ulanov, Natalia Vassilieva, Georgy Shevlyakov
Publikováno v:
ICASSP
The need for fast on-line algorithms to analyze high data-rate measurements is a vital element in production settings. Given the ever-increasing number of data sources coupled with increasing complexity of applications, and workload patterns, anomaly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eccf35bf8f50873307951706da31d3b5
https://doi.org/10.1109/icassp.2013.6638919
https://doi.org/10.1109/icassp.2013.6638919
Publication in the conference proceedings of EUSIPCO, Bucharest, Romania, 2012
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cdd0d0f3f1f1ab04ea5bd103f32a922
Autor:
Vanish Talwar, Wade J. Satterfield, Greg Macdonald, Krishnamurthy Viswanathan, Lakshminarayan Choudur, Chengwei Wang
Publikováno v:
NOMS
Data centers are growing in size and complexity driven by trends such as cloud computing and on-line services. Such large data centers pose several challenges for system management. Key among them is anomaly detection which is required to monitor and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80ebbdc36ff490c21f12d01c9e81edf0
https://doi.org/10.1109/noms.2012.6211885
https://doi.org/10.1109/noms.2012.6211885