Följ
Satya Katragadda
Satya Katragadda
Research Scientist, Informatics Research institute, University of Louisiana at Lafayette
Verifierad e-postadress på louisiana.edu
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E-petition popularity: Do linguistic and semantic factors matter?
L Hagen, TM Harrison, Ö Uzuner, W May, T Fake, S Katragadda
Government Information Quarterly 33 (4), 783-795, 2016
432016
Framework for real-time event detection using multiple social media sources
S Katragadda, R Benton, V Raghavan
252017
Detection of event onset using twitter
S Katragadda, S Virani, R Benton, V Raghavan
2016 international joint conference on neural networks (IJCNN), 1539-1546, 2016
252016
Detecting adverse drug effects using link classification on twitter data
S Katragadda, H Karnati, M Pusala, V Raghavan, R Benton
2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015
182015
Detecting low-rate replay-based injection attacks on in-vehicle networks
S Katragadda, PJ Darby, A Roche, R Gottumukkala
IEEE Access 8, 54979-54993, 2020
162020
A concept-drift based predictive-analytics framework: Application for real-time solar irradiance forecasting
J Wojtkiewicz, S Katragadda, R Gottumukkala
2018 IEEE International Conference on Big Data (Big Data), 5462-5464, 2018
112018
Direct normal irradiance forecasting using multivariate gated recurrent units
M Hosseini, S Katragadda, J Wojtkiewicz, R Gottumukkala, A Maida, ...
Energies 13 (15), 3914, 2020
82020
An unsupervised approach to identify location based on the content of user’s tweet history
S Katragadda, M Jin, V Raghavan
International Conference on Active Media Technology, 311-323, 2014
82014
Exploring the relationship between mobility and COVID− 19 infection rates for the second peak in the United States using phase-wise association
R Gottumukkala, S Katragadda, RT Bhupatiraju, AM Kamal, V Raghavan, ...
BMC Public Health 21 (1), 1-14, 2021
52021
Sub-event detection from tweets
S Katragadda, R Benton, V Raghavan
2017 International Joint Conference on Neural Networks (IJCNN), 2128-2135, 2017
52017
Distributed real time link prediction on graph streams
S Katragadda, R Gottumukkala, M Pusala, V Raghavan, J Wojtkiewicz
2018 IEEE International Conference on Big Data (Big Data), 2912-2917, 2018
42018
Spatial hotspot detection using polygon propagation
S Katragadda, J Chen, S Abbady
International Journal of Digital Earth, 2018
42018
VAStream: A visual analytics system for fast data streams
S Katragadda, R Gottumukkala, S Venna, N Lipari, S Gaikwad, M Pusala, ...
Proceedings of the Practice and Experience in Advanced Research Computing on …, 2019
32019
A multimodal sensor dataset for continuous stress detection of nurses in a hospital
S Hosseini, R Gottumukkala, S Katragadda, RT Bhupatiraju, Z Ashkar, ...
Scientific Data 9 (1), 1-13, 2022
22022
Association mining based approach to analyze COVID-19 response and case growth in the United States
S Katragadda, R Gottumukkala, RT Bhupatiraju, AM Kamal, V Raghavan, ...
Scientific Reports 11 (1), 1-12, 2021
12021
Examining the COVID-19 case growth rate due to visitor vs. local mobility in the United States using machine learning
S Katragadda, RT Bhupatiraju, V Raghavan, Z Ashkar, R Gottumukkala
Scientific Reports 12 (1), 1-12, 2022
2022
Correction to: Exploring the relationship between mobility and COVID− 19 infection rates for the second peak in the United States using phase-wise association
R Gottumukkala, S Katragadda, RT Bhupatiraju, AM Kamal, V Raghavan, ...
BMC Public Health 21 (1), 1-1, 2021
2021
River Stage Forecasting using Enhanced Partial Correlation Graph
SR Venna, S Katragadda, V Raghavan, R Gottumukkala
Water Resources Management 35 (12), 4111-4126, 2021
2021
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Artiklar 1–18