E-LIB Suche - Ergebnisse für: Kiran, Mariam

1

Graph neural networks for detecting anomalies in scientific..:

Jin, Hongwei ; Raghavan, Krishnan ; Papadimitriou, George...
The International Journal of High Performance Computing Applications. 37 (2023) 3-4 - p. 394-411 , 2023

Link: https://doi.org/10.1177/..

2

Engineering Autonomous Self-Driving Networks:

Kiran, Mariam
ACM SIGMETRICS Performance Evaluation Review. 51 (2023) 2 - p. 97-99 , 2023

Link: https://doi.org/10.1145/..

3

Insights into DoH: Traffic Classification for DNS over HTTP..:

, In: Proceedings of the 2023 on Systems and Network Telemetry and Analytics,

Bannat Wala, Fatema ; Campbell, Scott ; Kiran, Mariam - p. 9-17 , 2023

Link: https://dl.acm.org/doi/1..

4

Elephants Sharing the Highway: Studying TCP Fairness in Lar..:

, In: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis,

Mahmud, Imtiaz ; Papadimitriou, George ; Wang, Cong... - p. 806-818 , 2023

Link: https://dl.acm.org/doi/1..

5

Machine Learning Pattern Recognition Algorithm With Applica..:

Wang, Dan ; Du, Qiang ; Zhou, Tong...
IEEE Journal of Quantum Electronics. 58 (2022) 6 - p. 1-9 , 2022

Link: https://doi.org/10.1109/..

6

Workflow Anomaly Detection with Graph Neural Networks:

, In: 2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS),

Jin, Hongwei ; Raghavan, Krishnan ; Papadimitriou, George... - p. 35-42 , 2022

Link: https://doi.org/10.1109/..

7

Netostat: analyzing dynamic flow patterns in high-speed net..:

Murugesan, Sugeerth ; Kiran, Mariam ; Hamann, Bernd.
Cluster Computing. 25 (2022) 4 - p. 2915-2930 , 2022

Link: https://doi.org/10.1007/..

8

Hecate: AI-driven WAN Traffic Engineering for Science:

, In: 2022 IEEE/ACM International Workshop on Innovating the Network for Data-Intensive Science (INDIS),

Kiran, Mariam ; Campbell, Scott ; Buraglio, Nick - p. 41-49 , 2022

Link: https://doi.org/10.1109/..

9

Experimental beam combining stabilization using machine lea..:

Du, Qiang ; Wang, Dan ; Zhou, Tong...
Optics Express. 30 (2022) 8 - p. 12639 , 2022

Link: https://doi.org/10.1364/..

10

DynamicDeepFlow: An Approach for Identifying Changes in Net..:

, In: Machine Learning for Networking; Lecture Notes in Computer Science,

Shen, Sheng ; Kiran, Mariam ; Mohammed, Bashir - p. 98-116 , 2022

Link: https://doi.org/10.1007/..

11

End-to-end online performance data capture and analysis for..:

Papadimitriou, George ; Wang, Cong ; Vahi, Karan...
Future Generation Computer Systems. 117 (2021) - p. 387-400 , 2021

Link: https://doi.org/10.1016/..

12

Machine learning-based analysis of COVID-19 pandemic impact..:

Kiran, Mariam ; Campbell, Scott ; Wala, Fatema Bannat..
ACM SIGCOMM Computer Communication Review. 51 (2021) 4 - p. 23-35 , 2021

Link: https://doi.org/10.1145/..

13

Levenberg–Marquardt multi-classification using hinge loss f..:

Ozyildirim, Buse Melis ; Kiran, Mariam
Neural Networks. 143 (2021) - p. 564-571 , 2021

Link: https://doi.org/10.1016/..

14

Machine learning-based analysis of COVID-19 pandemic impact..:

Kiran, Mariam ; Campbell, Scott ; Wala, Fatema Bannat..
ACM SIGCOMM Computer Communication Review. 51 (2021) 4 - p. 23-35 , 2021

Link: https://dl.acm.org/doi/1..

15

Anomaly Detection in Scientific Workflows using End-to-End ..:

, In: Practice and Experience in Advanced Research Computing,

Krawczuk, Patrycja ; Papadimitriou, George ; Nagarkar, Shubham... - p. 1-5 , 2021

Link: https://dl.acm.org/doi/1..