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Ajitesh, Srivastava
182  Ergebnisse:
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1

Characterising information gains and losses when collecting..:

Sherratt, Katharine ; Srivastava, Ajitesh ; Ainslie, Kylie...
Epidemics.  47 (2024)  - p. 100765 , 2024
Link: https://doi.org/10.1016/..
 
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2

The variations of SIkJalpha model for COVID-19 forecasting ..:

Srivastava, Ajitesh
Epidemics.  45 (2023)  - p. 100729 , 2023
Link: https://doi.org/10.1016/..
 
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3

Spatio-Temporal Attention in Multi-Granular Brain Chronnect..:

, In: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Orme-Rogers, James ; Srivastava, Ajitesh - p. 1-5 , 2023
Link: https://doi.org/10.1109/..
 
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4

Detection of Delays and Feedthroughs in Dynamic Networked S..:

Jahandari, Sina ; Srivastava, Ajitesh
IEEE Control Systems Letters.  7 (2023)  - p. 1201-1206 , 2023
Link: https://doi.org/10.1109/..
 
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5

epiDAMIK 6.0: The 6th International Workshop on Epidemiolog..:

, In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Adhikari, Bijaya ; Rodríguez, Alexander ; Yadav, Amulya... - p. 5847-5848 , 2023
Link: https://dl.acm.org/doi/1..
 
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Impact of SARS-CoV-2 vaccination of children ages 5–11 year..:

Borchering, Rebecca K. ; Mullany, Luke C. ; Howerton, Emily...
The Lancet Regional Health - Americas.  17 (2023)  - p. 100398 , 2023
Link: https://doi.org/10.1016/..
 
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7

Adjusting for Unmeasured Confounding Variables in Dynamic N..:

Jahandari, Sina ; Srivastava, Ajitesh
IEEE Control Systems Letters.  7 (2023)  - p. 1237-1242 , 2023
Link: https://doi.org/10.1109/..
 
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8

epiDAMIK 5.0 : The 5th International Workshop on Epidemi..:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Adhikari, Bijaya ; Yadav, Amulya ; Pei, Sen... - p. 4850-4851 , 2022
Link: https://dl.acm.org/doi/1..
 
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9

Behind-the-Meter Solar Generation Disaggregation at Varying..:

Cheung, Chung Ming ; Kuppannagari, Sanmukh Rao ; Srivastava, Ajitesh..
IEEE Transactions on Sustainable Computing.  , 2022
Link: https://doi.org/10.1109/..
 
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10

Shape-based Evaluation of Epidemic Forecasts:

, In: 2022 IEEE International Conference on Big Data (Big Data),
Srivastava, Ajitesh ; Singh, Satwant ; Lee, Fiona - p. 1701-1710 , 2022
Link: https://doi.org/10.1109/..
 
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11

The EpiBench Platform to Propel AI/ML-Based Epidemic Foreca..:

, In: AI for Disease Surveillance and Pandemic Intelligence; Studies in Computational Intelligence,
Srivastava, Ajitesh ; Xu, Tianjian ; Prasanna, Viktor K. - p. 165-179 , 2022
Link: https://doi.org/10.1007/..
 
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12

ReSemble: Reinforced Ensemble Framework for Data Prefetchin:

, In: SC22: International Conference for High Performance Computing, Networking, Storage and Analysis,
Zhang, Pengmiao ; Kannan, Rajgopal ; Srivastava, Ajitesh.. - p. 1-14 , 2022
Link: https://doi.org/10.1109/..
 
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13

"This Bot Knows What I'm Talking About!" Human-Inspired Lau..:

, In: 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN),
Gray, Carson ; Webster, Trevor ; Ozarowicz, Brian... - p. 1007-1014 , 2022
Link: https://doi.org/10.1109/..
 
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14

Fine-grained address segmentation for attention-based varia..:

, In: Proceedings of the 19th ACM International Conference on Computing Frontiers,
Zhang, Pengmiao ; Srivastava, Ajitesh ; Nori, Anant V... - p. 103-112 , 2022
Link: https://dl.acm.org/doi/1..
 
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15

The 4th International Workshop on Epidemiology meets Data M..:

, In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining,
Adhikari, Bijaya ; Srivastava, Ajitesh ; Pei, Sen... - p. 4104-4105 , 2021
Link: https://dl.acm.org/doi/1..
 
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