Mubasher Baig

Orcid: 0000-0003-2863-0736

According to our database1, Mubasher Baig authored at least 10 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
ANFIS learning using expectation maximization based Gaussian mixture model and multilayer perceptron learning.
Appl. Soft Comput., December, 2024

2023
Boosting With Prior for Accurate Classification.
IEEE Access, 2023

2019
Cell State Prediction Through Distributed Estimation of Transmit Power.
Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networks and Systems, 2019

2017
A multiclass cascade of artificial neural network for network intrusion detection.
J. Intell. Fuzzy Syst., 2017

AdaBoost-based artificial neural network learning.
Neurocomputing, 2017

2015
Learning Rule for Linear Multilayer Feedforward ANN by Boosted Decision Stumps.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
Intrusion detection using a cascade of boosted classifiers (CBC).
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

BOOSTRON: Boosting Based Perceptron Learning.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2012
Global Reweighting and Weight Vector Based Strategy for Multiclass Boosting.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2007
Aiden A. Bruen and Mario A. Forcinito, Cryptography, Information Theory, and Error-Correction a Handbook for the 21st Century, John Wiley & Sons, Inc. (2005) ISBN 0-471-65317-9.
Inf. Process. Manag., 2007


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