Amir Atiya

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Samir I ShaheenProfessor of Computer Engineering, Faculty of Engineering, Cairo University, Giza, EgyptVerified email at ieee.org
Mohamed AlyVerified email at mohamedaly.info
Mohamed SalehProf. Operations Research & Decision Support . Cairo UniversityVerified email at fci-cu.edu.eg
Doug CreightonDeakin UniversityVerified email at deakin.edu.au
Nesreen K. AhmedComputer Scientist, Intel AI Research, Purdue UniversityVerified email at intel.com
Robert AndrawisTeaching Assistant, American University in CairoVerified email at purdue.edu
Souhaib Ben TaiebAssociate Professor in Machine Learning, University of Mons, BelgiumVerified email at umons.ac.be
Gianluca BontempiUniversité Libre de BruxellesVerified email at ulb.ac.be
Pierre BaldiProfessor, University of California, IrvineVerified email at ics.uci.edu
Sherif HashemProfessor of Information Science and Technology, George Mason UniversityVerified email at gmu.edu
Mohsen RashwanCairo university, faculty of engineering, electronics and communications departmentVerified email at rdi-eg.com
Chuanyi JiAssociate Prof., ECE Georgia TechVerified email at gatech.edu
AbdelMoniem BayoumiAssistant Professor at Cairo University -- Ph.D. in Computer Science from University of BonnVerified email at cu.edu.eg
Carlo RegazzoniProfessor of Cognitive Telecommunications Systems, University of GenovaVerified email at unige.it
Heba HabibLecturer in Technological University DublinVerified email at tudublin.ie
Nedaa AgamiLecturer (PhD), Faculty of Computers and Information - Cairo UniversityVerified email at fci-cu.edu.eg
Aya Salah Metwally HusseinResearch Fellow at UNSWVerified email at adfa.edu.au
Ahmed HefnyApplied Research Scientist, CruiseVerified email at getcruise.com
Mohamed El GamalCairo University, Faculty of EngineeringVerified email at aucegypt.edu
Lester IngberPhysical Studies Institute LLCVerified email at ingber.com

Amir Atiya

Cairo University

Verified email at alumni.caltech.edu - Homepage

machine learning pattern classification computational finance


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Bankruptcy prediction for credit risk using neural networks: A survey and new results AF Atiya IEEE Transactions on neural networks 12 (4), 929-935, 2001	1094	2001
An empirical comparison of machine learning models for time series forecasting NK Ahmed, AF Atiya, NE Gayar, H El-Shishiny Econometric reviews 29 (5-6), 594-621, 2010	944	2010
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition SB Taieb, G Bontempi, AF Atiya, A Sorjamaa Expert systems with applications 39 (8), 7067-7083, 2012	679	2012
Lower upper bound estimation method for construction of neural network-based prediction intervals A Khosravi, S Nahavandi, D Creighton, AF Atiya IEEE transactions on neural networks 22 (3), 337-346, 2010	648	2010
Comprehensive review of neural network-based prediction intervals and new advances A Khosravi, S Nahavandi, D Creighton, AF Atiya IEEE Transactions on neural networks 22 (9), 1341-1356, 2011	620	2011
New results on recurrent network training: unifying the algorithms and accelerating convergence AF Atiya, AG Parlos IEEE transactions on neural networks 11 (3), 697-709, 2000	552	2000
Introduction to financial forecasting YS Abu-Mostafa, AF Atiya Applied intelligence 6, 205-213, 1996	541	1996
How delays affect neural dynamics and learning P Baldi, AF Atiya IEEE Transactions on Neural Networks 5 (4), 612-621, 1994	509	1994
A comparison between neural-network forecasting techniques-case study: river flow forecasting AF Atiya, SM El-Shoura, SI Shaheen, MS El-Sherif IEEE Transactions on neural networks 10 (2), 402-409, 1999	452	1999
Astd: Arabic sentiment tweets dataset M Nabil, M Aly, A Atiya Proceedings of the 2015 conference on empirical methods in natural language …, 2015	354	2015
Application of the recurrent multilayer perceptron in modeling complex process dynamics AG Parlos, KT Chong, AF Atiya IEEE Transactions on Neural Networks 5 (2), 255-266, 1994	289	1994
A comprehensive analysis of synthetic minority oversampling technique (SMOTE) for handling class imbalance D Elreedy, AF Atiya Information Sciences 505, 32-64, 2019	287	2019
Labr: A large scale arabic book reviews dataset M Aly, A Atiya Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013	278	2013
Epileptic seizures detection using deep learning techniques: A review A Shoeibi, M Khodatars, N Ghassemi, M Jafari, P Moridian, ... International Journal of Environmental Research and Public Health 18 (11), 5780, 2021	238	2021
Combination of long term and short term forecasts, with application to tourism demand forecasting RR Andrawis, AF Atiya, H El-Shishiny International Journal of Forecasting 27 (3), 870-886, 2011	238	2011
Multi-step-ahead prediction using dynamic recurrent neural networks AG Parlos, OT Rais, AF Atiya Neural networks 13 (7), 765-786, 2000	232	2000
Maximum drawdown M Magdon-Ismail, AF Atiya Risk Magazine 17 (10), 99-102, 2004	231	2004
On the maximum drawdown of a Brownian motion M Magdon-Ismail, AF Atiya, A Pratap, YS Abu-Mostafa Journal of applied probability 41 (1), 147-161, 2004	217	2004
Forecast combinations of computational intelligence and linear models for the NN5 time series forecasting competition RR Andrawis, AF Atiya, H El-Shishiny International journal of forecasting 27 (3), 672-688, 2011	213	2011
An accelerated learning algorithm for multilayer perceptron networks AG Parlos, B Fernandez, AF Atiya, J Muthusami, WK Tsai IEEE Transactions on Neural Networks 5 (3), 493-497, 1994	193	1994

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