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Syed Ihtesham Hussain Shah
Syed Ihtesham Hussain Shah
Researcher, Vrije Universiteit Amsterdam
Verified email at icar.cnr.it
Title
Cited by
Cited by
Year
A novel hybrid cuckoo search-extreme learning machine approach for modulation classification
SIH Shah, S Alam, SA Ghauri, A Hussain, FA Ansari
IEEE Access 7, 90525-90537, 2019
252019
Modulation classification using cyclostationary features on fading channels
SA Ghauri, IM Qureshi, I Shah, N Khan
Research Journal of Applied Sciences, Engineering and Technology 7 (24 …, 2014
212014
Learning and assessing optimal dynamic treatment regimes through cooperative imitation learning
SIH Shah, A Coronato, M Naeem, G De Pietro
IEEE Access 10, 78148-78158, 2022
112022
Csa-assisted gabor features for automatic modulation classification
SIH Shah, A Coronato, SA Ghauri, S Alam, M Sarfraz
Circuits, Systems, and Signal Processing, 1-23, 2022
82022
An Overview of Inverse Reinforcement Learning Techniques
SIH Shah, GD Pietro
IOS Press, 2021
7*2021
An AI-empowered infrastructure for risk prevention during medical examination
SIH Shah, M Naeem, G Paragliola, A Coronato, M Pechenizkiy
Expert Systems with Applications 225, 120048, 2023
62023
Inverse Reinforcement Learning Through Max-Margin Algorithm
SIH Shah, A Coronato
IOS Press, 2021
5*2021
Learning tasks in intelligent environments via inverse reinforcement learning
SIH Shah, A Coronato
2021 17th international conference on intelligent environments (IE), 1-4, 2021
42021
Automatic localization of macula and identification of macular degeneration in retinal fundus images
AF Khan, A Jalil, IU Haq, SIH Shah
2021 international conference on electrical, communication, and computer …, 2021
32021
Projection based inverse reinforcement learning for the analysis of dynamic treatment regimes
SIH Shah, G De Pietro, G Paragliola, A Coronato
Applied Intelligence 53 (11), 14072-14084, 2023
12023
Inverse Reinforcement Learning Based Approach for Investigating Optimal Dynamic Treatment Regime
HHA Valera, M Luštrek
Workshops at 18th International Conference on Intelligent Environments …, 2022
2022
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