Amir Hussain, Ph.D.

Affiliations: 
Computing Science & Maths University of Stirling, Stirling, Scotland, United Kingdom 
Area:
Neural Networks, Cognitive Computation
Website:
http://www.cs.stir.ac.uk/~ahu
Google:
"Amir Hussain"
Mean distance: 106866
 
Cross-listing: Computational Biology Tree

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Publications

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Kanwal S, Hussain A, Huang K. (2021) Novel Artificial Immune Networks-based optimization of shallow machine learning (ML) classifiers Expert Systems With Applications. 165: 113834
Ali AR, Li J, Kanwal S, et al. (2020) A Novel Fuzzy Multilayer Perceptron (F-MLP) for the Detection of Irregularity in Skin Lesion Border Using Dermoscopic Images. Frontiers in Medicine. 7: 297
Huang K, Zhang S, Zhang R, et al. (2020) Novel deep neural network based pattern field classification architectures. Neural Networks : the Official Journal of the International Neural Network Society. 127: 82-95
Howard N, Chouikhi N, Adeel A, et al. (2020) BrainOS: A Novel Artificial Brain-Alike Automatic Machine Learning Framework. Frontiers in Computational Neuroscience. 14: 16
Ma F, Gao F, Wang J, et al. (2020) A novel biologically-inspired target detection method based on saliency analysis for synthetic aperture radar (SAR) imagery Neurocomputing. 402: 66-79
Ieracitano C, Adeel A, Morabito FC, et al. (2020) A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach Neurocomputing. 387: 51-62
Totaro S, Hussain A, Scardapane S. (2020) A non-parametric softmax for improving neural attention in time-series forecasting Neurocomputing. 381: 177-185
Dashtipour K, Gogate M, Li J, et al. (2020) A hybrid Persian sentiment analysis framework: Integrating dependency grammar based rules and deep neural networks Neurocomputing. 380: 1-10
Wang Q, Yao K, Zhang R, et al. (2020) Improving deep neural network performance by integrating kernelized Min-Max objective Neurocomputing. 408: 82-90
Adeel A, Gogate M, Hussain A. (2020) Contextual deep learning-based audio-visual switching for speech enhancement in real-world environments Information Fusion. 59: 163-170
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