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Journal Articles
- 2022
[j5]Avantika Singh, Shaifu Gupta
:
Learning to hash: a comprehensive survey of deep learning-based hashing methods. Knowl. Inf. Syst. 64(10): 2565-2597 (2022)- 2020
- [j4]Shaifu Gupta, Aroor Dinesh Dileep:
Long range dependence in cloud servers: a statistical analysis based on Google workload trace. Computing 102(4): 1031-1049 (2020) - [j3]Shaifu Gupta, Aroor Dinesh Dileep:
Relevance feedback based online learning model for resource bottleneck prediction in cloud servers. Neurocomputing 402: 307-322 (2020) - [j2]Shaifu Gupta, Aroor Dinesh Dileep, Timothy A. Gonsalves:
Online Sparse BLSTM Models for Resource Usage Prediction in Cloud Datacentres. IEEE Trans. Netw. Serv. Manag. 17(4): 2335-2349 (2020) - 2018
- [j1]Shaifu Gupta, Aroor Dinesh Dileep, Timothy A. Gonsalves:
A joint feature selection framework for multivariate resource usage prediction in cloud servers using stability and prediction performance. J. Supercomput. 74(11): 6033-6068 (2018)
Conference and Workshop Papers
- 2023
- [c6]Rishika Kohli, Shreyas Chatterjee, Shaifu Gupta, Manoj Singh Gaur:
Tracking PII ex-filtration: Exploring decision tree and neural network with explainable AI. ANTS 2023: 183-188 - 2022
- [c5]Saurabh Gajbhiye, Priyanka Singh, Shaifu Gupta:
Data Poisoning Attack by Label Flipping on SplitFed Learning. RTIP2R 2022: 391-405 - 2018
- [c4]Siddhant Kumar, Neha Muthiyan, Shaifu Gupta, Dileep Aroor Dinesh, Aditya Nigam:
Association Learning based Hybrid Model for Cloud Workload Prediction. IJCNN 2018: 1-8 - 2017
- [c3]Shaifu Gupta, Dileep Aroor Dinesh:
Resource usage prediction of cloud workloads using deep bidirectional long short term memory networks. ANTS 2017: 1-6 - [c2]Shaifu Gupta, Dileep Aroor Dinesh:
Online adaptation models for resource usage prediction in cloud network. NCC 2017: 1-6 - 2016
- [c1]Shaifu Gupta, Aroor Dinesh Dileep, Timothy A. Gonsalves:
Fractional Difference based Hybrid Model for Resource Prediction in Cloud Network. ICNCC 2016: 93-97
Coauthor Index
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