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ORCIDAli Hassan Mirza
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2020 – today
- 2020
[j3]Ali H. Mirza, Mine Kerpicci
, Suleyman Serdar Kozat:
Efficient online learning with improved LSTM neural networks. Digit. Signal Process. 102: 102742 (2020)- [j2]Tolga Ergen, Ali H. Mirza, Suleyman Serdar Kozat:
Energy-Efficient LSTM Networks for Online Learning. IEEE Trans. Neural Networks Learn. Syst. 31(8): 3114-3126 (2020)
2010 – 2019
- 2018
- [j1]Dariush Kari, Ali H. Mirza, Farhan Khan, Huseyin Ozkan, Suleyman Serdar Kozat:
Boosted adaptive filters. Digit. Signal Process. 81: 61-78 (2018) - [c6]Ali H. Mirza:
Online boosting algorithm for regression with additive and multiplicative updates. SIU 2018: 1-4 - [c5]Ali H. Mirza:
Online additive updates with FFT-IFFT operator on the GRU neural networks. SIU 2018: 1-4 - [c4]Ali H. Mirza:
Variants of combinations of additive and multiplicative updates for GRU neural networks. SIU 2018: 1-4 - [c3]Ali H. Mirza:
Computer network intrusion detection using various classifiers and ensemble learning. SIU 2018: 1-4 - [c2]Ali H. Mirza, Selin Cosan:
Computer network intrusion detection using sequential LSTM Neural Networks autoencoders. SIU 2018: 1-4 - [c1]Muhammad Anjum Qureshi, Wardah Sarmad, Hira Noor, Ali Hassan Mirza:
Online optimization of wireless sensors selection over an unknown stochastic environment. SIU 2018: 1-4 - 2017
- [i1]Tolga Ergen, Ali Hassan Mirza, Suleyman Serdar Kozat:
Unsupervised and Semi-supervised Anomaly Detection with LSTM Neural Networks. CoRR abs/1710.09207 (2017)
Coauthor Index
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