Amir Atiya

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	전체	2020년 이후
서지정보	15156	7037
h-index	50	31
i10-index	106	63

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Samir I ShaheenProfessor of Computer Engineering, Faculty of Engineering, Cairo University, Giza, Egyptieee.org의 이메일 확인됨
Mohamed Alymohamedaly.info의 이메일 확인됨
Mohamed SalehProf. Operations Research & Decision Support . Cairo Universityfci-cu.edu.eg의 이메일 확인됨
Doug CreightonDeakin Universitydeakin.edu.au의 이메일 확인됨
Nesreen K. AhmedPrincipal Scientist, Cisco AI Research, Intel Labs, Purdue Universitycisco.com의 이메일 확인됨
Souhaib Ben TaiebMBZUAI, UMONSmbzuai.ac.ae의 이메일 확인됨
Robert AndrawisTeaching Assistant, American University in Cairopurdue.edu의 이메일 확인됨
Gianluca BontempiFull professor, Machine Learning Group, Université Libre de Bruxellesulb.ac.be의 이메일 확인됨
Pierre BaldiProfessor, University of California, Irvineics.uci.edu의 이메일 확인됨
Sherif HashemProfessor of Information Science and Technology, George Mason Universitygmu.edu의 이메일 확인됨
Mohsen RashwanCairo university, faculty of engineering, electronics and communications departmentrdi-eg.com의 이메일 확인됨
Chuanyi JiAssociate Prof., ECE Georgia Techgatech.edu의 이메일 확인됨
AbdElMoniem BayoumiAssistant Professor at Cairo University -- Ph.D. from University of Bonncu.edu.eg의 이메일 확인됨
Carlo RegazzoniProfessor of Cognitive Telecommunications Systems, University of Genovaunige.it의 이메일 확인됨
Heba HabibLecturer in Technological University Dublintudublin.ie의 이메일 확인됨
Nedaa AgamiLecturer (PhD), Faculty of Computers and Information - Cairo Universityfci-cu.edu.eg의 이메일 확인됨
Nevin DarwishProfessor of Computer Engineering, Cairo Universityeng.cu.edu.eg의 이메일 확인됨
Ahmed HefnyApplied Research Scientist, Cruisegetcruise.com의 이메일 확인됨
Mohamed El GamalCairo University, Faculty of Engineeringaucegypt.edu의 이메일 확인됨
Lester IngberPhysical Studies Institute LLCingber.com의 이메일 확인됨

팔로우

Amir Atiya

Cairo University

alumni.caltech.edu의 이메일 확인됨 - 홈페이지

machine learning pattern classification computational finance


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
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	1149	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	1137	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	812	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	761	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	729	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	642	2000
Introduction to financial forecasting YS Abu-Mostafa, AF Atiya Applied intelligence 6, 205-213, 1996	611	1996
A comprehensive analysis of synthetic minority oversampling technique (SMOTE) for handling class imbalance D Elreedy, AF Atiya Information Sciences 505, 32-64, 2019	567	2019
How delays affect neural dynamics and learning P Baldi, AF Atiya IEEE Transactions on Neural Networks 5 (4), 612-621, 1994	518	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	480	1999
Astd: Arabic sentiment tweets dataset M Nabil, M Aly, A Atiya Proceedings of the 2015 conference on empirical methods in natural language …, 2015	429	2015
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	366	2021
Labr: A large scale arabic book reviews dataset M Aly, A Atiya Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013	319	2013
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	298	1994
Maximum drawdown M Magdon-Ismail, AF Atiya Risk Magazine 17 (10), 99-102, 2004	269	2004
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	257	2011
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	232	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	226	2011
Multi-step-ahead prediction using dynamic recurrent neural networks AG Parlos, OT Rais, AF Atiya Neural networks 13 (7), 765-786, 2000	223	2000
A bias and variance analysis for multistep-ahead time series forecasting SB Taieb, AF Atiya IEEE transactions on neural networks and learning systems 27 (1), 62-76, 2015	211	2015

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