Amir Farzad
Amir Farzad
PhD: Electrical and Computer Engineering at University of Victoria
Verified email at
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A comparative performance analysis of different activation functions in LSTM networks for classification
A Farzad, H Mashayekhi, H Hassanpour
Neural Computing and Applications 31 (7), 2507-2521, 2019
Unsupervised log message anomaly detection
A Farzad, TA Gulliver
ICT Express 6 (3), 229-237, 2020
Log message anomaly detection and classification using auto-b/lstm and auto-gru
A Farzad, TA Gulliver
arXiv preprint arXiv:1911.08744, 2019
Oversampling Log Messages Using a Sequence Generative Adversarial Network for Anomaly Detection and Classification
A Farzad, TA Gulliver
International Conference on Artificial Intelligence and Machine Learning …, 2019
Two Class Pruned Log Message Anomaly Detection
A Farzad, TA Gulliver
SN Computer Science 2 (5), 1-18, 2021
Log message anomaly detection using machine learning
A Farzad
Log Message Anomaly Detection with Oversampling
A Farzad, TA Gulliver
International Journal of Artificial Intelligence and Applications (IJAIA) 11 …, 2020
Evaluation the Role of Activation Function in LSTM Networks
A Farzad, H Mashayekhi
Conference of Interdisciplinary Research in Computer, Electrical, Mechanical …, 2016
Sentiment Classification on the Cloud
A Farzad, MA Shehab …, 0
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