Genetic Programming Bibliography entries for Sahibzada Ali Mahmud
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GP coauthors/coeditors:
Arbab Masood Ahmad,
Gul Muhammad Khan,
Julian F Miller,
Rabia Arshad,
Atif Rashid Khattak,
Faheem Zafari,
Jawad Ali,
Fahad Ullah,
Umer Khayam,
Durre Nayab,
Mehreen Rehman,
Genetic Programming Articles by Sahibzada Ali Mahmud
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Gul Muhammad Khan and Rabia Arshad and Sahibzada Ali Mahmud and Fahad Ullah.
Intelligent Bandwidth Estimation for Variable Bit Rate Traffic.
IEEE Transactions on Evolutionary Computation, 19(1):151-155, 2015.
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Faheem Zafari and Gul Muhammad Khan and Mehreen Rehman and Sahibzada Ali Mahmud.
Evolving Recurrent Neural Network using Cartesian Genetic Programming to Predict The Trend in Foreign Currency Exchange Rates.
Applied Artificial Intelligence, 28(6):597-628, 2014.
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Mehreen Rehman and Gul Muhammad Khan and Sahibzada Ali Mahmud.
Foreign Currency Exchange Rates Prediction Using CGP and Recurrent Neural Network.
IERI Procedia, 10:239-244, 2014.
International Conference on Future Information Engineering (FIE 2014).
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Genetic Programming conference papers by Sahibzada Ali Mahmud
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Umer Khayam and Durre Nayab and Gul Muhammad Khan and Sahibzada Ali Mahmud.
Features Extraction of Growth Trend in Social Websites Using Non-linear Genetic Programming. In
Lazaros S. Iliadis and Ilias Maglogiannis and Harris Papadopoulos editors,
Artificial Intelligence Applications and Innovations - 10th IFIP WG 12.5 International Conference, AIAI 2014, Rhodes, Greece, September 19-21, 2014. Proceedings, volume 436, pages 414-423, 2014. Springer.
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Arbab Masood Ahmad and Gul Muhammad Khan and Sahibzada Ali Mahmud.
Classification of Mammograms Using Cartesian Genetic Programming Evolved Artificial Neural Networks. In
Lazaros S. Iliadis and Ilias Maglogiannis and Harris Papadopoulos editors,
Proceedings 10th IFIP WG 12.5 International Conference Artificial Intelligence Applications and Innovations, AIAI 2014, volume 436, pages 203-213, Rhodes, Greece, September 19-21, 2014, 2014. Springer.
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Gul Muhammad Khan and Jawad Ali and Sahibzada Ali Mahmud.
Wind power forecasting: An application of machine learning in renewable energy. In
International Joint Conference on Neural Networks (IJCNN 2014), pages 1130-1137, 2014.
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R. Arshad and G. M. Khan and S. A. Mahmud.
Smart bandwidth management using a recurrent Neuro-Evolutionary technique. In
International Joint Conference on Neural Networks (IJCNN 2014), pages 2240-2247, 2014.
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Arbab Masood Ahmad and Gul Muhammad Khan and Sahibzada Ali Mahmud.
Classification of Arrhythmia Types Using Cartesian Genetic Programming Evolved Artificial Neural Networks. In
Lazaros S. Iliadis and Harris Papadopoulos and Chrisina Jayne editors,
Proceedings of 14th International Conference on Engineering Applications of Neural Networks (EANN 2013), Part I, volume 383, pages 282-291, Halkidiki, Greece, 2013. Springer.
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Gul Muhammad Khan and Atif Rashid Khattak and Faheem Zafari and Sahibzada Ali Mahmud.
Electrical load forecasting using fast learning recurrent neural networks. In
International Joint Conference on Neural Networks (IJCNN 2013), 2013.
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Gul Muhammad Khan and Faheem Zafari and S. Ali Mahmud.
Very Short Term Load Forecasting Using Cartesian Genetic Programming Evolved Recurrent Neural Networks (CGPRNN). In
12th International Conference on Machine Learning and Applications (ICMLA 2013), volume 2, pages 152-155, 2013.
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Fahad Ullah and Gul Muhammad Khan and Sahibzada A. Mahmud.
Exploiting developmental plasticity in Cartesian Genetic Programming. In
IEEE Symposium on Computers Informatics (ISCI 2012), pages 180-184, Penang, Malaysia, 2012.
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Fahad Ullah and Gul M. Khan and Sahibzada Ali Mahmud.
Intelligent Bandwidth Management Using Fast Learning Neural Networks. In
High Performance Computing and Communication 2012 IEEE 9th International Conference on Embedded Software and Systems (HPCC-ICESS), 2012 IEEE 14th International Conference on, pages 867-872, Liverpool, 2012.
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Arbab Masood Ahmad and Gul Muhammad Khan and Sahibzada Ali Mahmud and Julian Francis Miller.
Breast cancer detection using cartesian genetic programming evolved artificial neural networks. In
Terry Soule and Anne Auger and Jason Moore and David Pelta and Christine Solnon and Mike Preuss and Alan Dorin and Yew-Soon Ong and Christian Blum and Dario Landa Silva and Frank Neumann and Tina Yu and Aniko Ekart and Will Browne and Tim Kovacs and Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and Giovanni Squillero and Nicolas Bredeche and Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and Martin Pelikan and Silja Meyer-Nienberg and Christian Igel and Greg Hornby and Rene Doursat and Steve Gustafson and Gustavo Olague and Shin Yoo and John Clark and Gabriela Ochoa and Gisele Pappa and Fernando Lobo and Daniel Tauritz and Jurgen Branke and Kalyanmoy Deb editors,
GECCO '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference, pages 1031-1038, Philadelphia, Pennsylvania, USA, 2012. ACM.
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