Unsupervised and Semi-supervised Anomaly Detection with LSTM Neural Networks. - Tolga Ergen; Ali Hassan Mirza; Suleyman Serdar Kozat (CoRR, 2017)

Online boosting algorithm for regression with additive and multiplicative updates. - Ali H. Mirza (SIU, 2018)

Online additive updates with FFT-IFFT operator on the GRU neural networks. - Ali H. Mirza (SIU, 2018)

Variants of combinations of additive and multiplicative updates for GRU neural networks. - Ali H. Mirza (SIU, 2018)

Computer network intrusion detection using various classifiers and ensemble learning. - Ali H. Mirza (SIU, 2018)

Computer network intrusion detection using sequential LSTM Neural Networks autoencoders. - Ali H. Mirza; Selin Cosan (SIU, 2018)

Online optimization of wireless sensors selection over an unknown stochastic environment. - Muhammad Anjum Qureshi; Wardah Sarmad; Hira Noor; Ali Hassan Mirza (SIU, 2018)

Boosted adaptive filters. - Dariush Kari; Ali H. Mirza; Farhan Khan; Huseyin Ozkan; Suleyman Serdar Kozat (Digit. Signal Process., 2018)

Efficient online learning with improved LSTM neural networks. - Ali H. Mirza; Mine Kerpicci; Suleyman Serdar Kozat (Digit. Signal Process., 2020)

Energy-Efficient LSTM Networks for Online Learning. - Tolga Ergen; Ali H. Mirza; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2020)