Amir F. Atiya

发表

Guest Editorial Introduction to the Special Issue on Adaptive Learning Systems in Communication Networks

Amir F. Atiya, Thomas Parisini, Chuanyi Ji, 2005, IEEE Trans. Neural Networks.

Analysis and Insights into the Variable Selection Problem

Amir F. Atiya, A. Atiya, 2006, ICONIP.

ASTD: Arabic Sentiment Tweets Dataset

Amir F. Atiya, Mahmoud Nabil, Mohamed A. Aly, 2015, EMNLP.

MLP, Gaussian Processes and Negative Correlation Learning for Time Series Prediction

Amir F. Atiya, Hisham El-Shishiny, Neamat El Gayar, 2009, MCS.

A neural network based dynamic forecasting model for Trend Impact Analysis

Amir F. Atiya, Hisham El-Shishiny, Mohamed Saleh, 2009 .

A simulation-based overbooking approach for hotel revenue management

Amir F. Atiya, Ahmed M. Fouad, Mohamed Saleh, 2014, 2014 10th International Computer Engineering Conference (ICENCO).

A Bias and Variance Analysis for Multistep-Ahead Time Series Forecasting

Amir F. Atiya, Souhaib Ben Taieb, A. Atiya, 2016, IEEE Transactions on Neural Networks and Learning Systems.

The maximum drawdown of the Brownian motion

Amir F. Atiya, Malik Magdon-Ismail, Yaser S. Abu-Mostafa, 2003, 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003. Proceedings..

An accelerated learning algorithm for multilayer perceptron networks

Amir F. Atiya, Alexander G. Parlos, Wei Kang Tsai, 1994, IEEE Trans. Neural Networks.

A Method for the Associative Storage of Analog Vectors

Amir F. Atiya, Yaser S. Abu-Mostafa, 1989, NIPS.

Multiclass Penalized Likelihood Pattern Classification Algorithm

Amir F. Atiya, Ahmed Al-Ani, Amira Samy Talaat, 2012, ICONIP.

Analytical solutions to the dynamic pricing problem for time-normalized revenue

Amir F. Atiya, Michael Nawar Ibrahim, 2016, Eur. J. Oper. Res..

Author index

Amir F. Atiya, Hao Yan, Hao Peifeng, 2016, 2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA).

Self-generating prototypes for pattern classification

Amir F. Atiya, Hatem A. Fayed, Sherif Hashem, 2007, Pattern Recognit..

Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances

Amir F. Atiya, Saeid Nahavandi, Abbas Khosravi, 2011, IEEE Transactions on Neural Networks.

How initial conditions affect generalization performance in large networks

Amir F. Atiya, Chuanyi Ji, 1997, IEEE Trans. Neural Networks.

A Novel Symbolic Type Neural Network Model- Application to River Flow Forecasting pdf

Amir F. Atiya, George S. Eskander, A. Atiya, 2008, ArXiv.

Erratum to: A mixed breadth-depth first strategy for the branch and bound tree of Euclidean k-center problems

Amir F. Atiya, Hatem A. Fayed, 2013, Comput. Optim. Appl..

A new algorithm for learning in piecewise-linear neural networks

Amir F. Atiya, Samir I. Shaheen, Emad Gad, 2000, Neural Networks.

How delays affect neural dynamics and learning

Amir F. Atiya, Pierre Baldi, P. Baldi, 1994, IEEE Trans. Neural Networks.

A Modified K-Nearest Neighbor Classifier to Deal with Unbalanced Classes

Amir F. Atiya, Ahmed Al-Ani, Akram AlSukker, 2009, IJCCI.

Three-dimensional video compression using subband/wavelet transform with lower buffering requirements

Amir F. Atiya, Samir I. Shaheen, Hosam Khalil, 1999, IEEE Trans. Image Process..

Prediction of MPEG-coded video source traffic using recurrent neural networks

Amir F. Atiya, Alexander G. Parlos, Aninda Bhattacharya, 2003, IEEE Trans. Signal Process..

A New Approach for Leukemia Identification based on Cepstral Analysis and Wavelet Transform

Amir F. Atiya, Amira Samy Talaat Abou Taleb, 2017 .

Packet Loss Rate Prediction Using the Sparse Basis Prediction Model

Amir F. Atiya, Kil To Chong, Hyongsuk Kim, 2007, IEEE Transactions on Neural Networks.

An analog feedback associative memory

Amir F. Atiya, Yaser S. Abu-Mostafa, 1993, IEEE Trans. Neural Networks.

Fuzzy Gaussian Process Classification Model

Amir F. Atiya, Neamat El Gayar, Eman Ahmed, 2009, ICIAR.

The Early Restart Algorithm

Amir F. Atiya, Malik Magdon-Ismail, A. Atiya, 2000, Neural Computation.

Efficient Estimation of First Passage Time Density Function for Jump-Diffusion Processes

Amir F. Atiya, Steve A. K. Metwally, A. Atiya, 2005, SIAM J. Sci. Comput..

Epileptic Seizures Detection Using Deep Learning Techniques: A Review pdf

Amir F. Atiya, U. Rajendra Acharya, Navid Ghassemi, 2020, International journal of environmental research and public health.

Forecast Combination Strategies for Handling Structural Breaks for Time Series Forecasting

Amir F. Atiya, Hisham El-Shishiny, Waleed M. Azmy, 2010, MCS.

Accelerated learning in multilayer networks

Amir F. Atiya, Alexander G. Parlos, W. K. Tsai, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

Lowering frame-buffering requirements of 3-D wavelet transform coding of interactive video

Amir F. Atiya, Samir I. Shaheen, Hosam Khalil, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

Multi-step-ahead prediction using dynamic recurrent neural networks

Amir F. Atiya, Alexander G. Parlos, Omar T. Rais, 2000, Neural Networks.

Application of the recurrent multilayer perceptron in modeling complex process dynamics

Amir F. Atiya, Kil To Chong, Alexander G. Parlos, 1994, IEEE Trans. Neural Networks.

Why does forecast combination work so well?

Amir F. Atiya, A. Atiya, 2020, International Journal of Forecasting.

Pattern Classification Using a Set of Compact Hyperspheres

Amir F. Atiya, Hatem A. Fayed, Sherif Hashem, 2006, ICONIP.

A Co-training Approach for Time Series Prediction with Missing Data

Amir F. Atiya, Neamat El Gayar, Tawfik A. Mohamed, 2007, MCS.

A Comprehensive Analysis of Synthetic Minority Oversampling Technique (SMOTE) for handling class imbalance

Amir F. Atiya, Dina Elreedy, A. Atiya, 2019, Inf. Sci..

Forecast combinations of computational intelligence and linear models for the NN5 time series forecasting competition

Amir F. Atiya, Robert Andrawis, Hisham El-Shishiny, 2011 .

Multi-step ahead time series forecasting via sparse coding and dictionary based techniques

Amir F. Atiya, Ahmed Helmi, Mohamed W. Fakhr, 2018, Appl. Soft Comput..

The Optimal Linear Feature for the Three-Class Equal-Covariance Gaussian Case

Amir F. Atiya, Talaat S. El-Sheikh, 1987, IEEE Transactions on Systems, Man, and Cybernetics.

A Novel Dynamic Pricing Model for the Telecommunications Industry

Amir F. Atiya, Mohamed Saleh, Kholoud Dorgham, 2015, MCO.

An efficient stock market forecasting model using neural networks

Amir F. Atiya, Samir I. Shaheen, N. Talaat, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Parameter Estimation of 2-DOF System Based on Unscented Kalman Filter

Amir F. Atiya, Alexander G. Parlos, Kil-To Chong, 2012 .

Strategies for multi-step time series forecasting

Amir F. Atiya, Antti Sorjamaa, Gianluca Bontempi, 2011 .

A mixed breadth-depth first strategy for the branch and bound tree of Euclidean k-center problems

Amir F. Atiya, Hatem A. Fayed, A. Atiya, 2013, Comput. Optim. Appl..

Evolvable neural networks ensembles for accidents diagnosis

Amir F. Atiya, Hany Sallam, Carlo S. Regazzoni, 2008 .

A Novel Template Reduction Approach for the $K$-Nearest Neighbor Method

Amir F. Atiya, Hatem A. Fayed, A. Atiya, 2009, IEEE Transactions on Neural Networks.

Hand-Drawn Shape Recognition Using the SVM'ed Kernel

Amir F. Atiya, Khaled S. Refaat, 2009, ICANN.

Introduction to financial forecasting

Amir F. Atiya, Yaser S. Abu-Mostafa, Y. Abu-Mostafa, 1996, Applied Intelligence.

A new Bayesian formulation for Holt's exponential smoothing

Amir F. Atiya, Robert Andrawis, A. Atiya, 2009 .

An evaluation of the integral of the product of the error function and the normal probability density with application to the bivariate normal integral

Amir F. Atiya, Hatem A. Fayed, A. Atiya, 2013, Math. Comput..

DCT of spatially adaptive subsampled interframes for image sequence coding

Amir F. Atiya, Samir I. Shaheen, Hosam Khalil, 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

An unsupervised learning technique for artificial neural networks

Amir F. Atiya, 1990, Neural Networks.

Fast Algorithms for Computing Corporate Default Probabilities

Amir F. Atiya, 2000, IDEAL.

Bankruptcy prediction for credit risk using neural networks: A survey and new results

Amir F. Atiya, A. Atiya, 2001, IEEE Trans. Neural Networks.

A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition

Amir F. Atiya, Antti Sorjamaa, Gianluca Bontempi, 2011, Expert Syst. Appl..

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020) pdf

Amir F. Atiya, U. Rajendra Acharya, Afshin Shoeibi, 2020, Annals of operations research.

Optimal Neural Spike Classification

Amir F. Atiya, James M. Bower, 1987, NIPS.

LABR: A Large Scale Arabic Book Reviews Dataset

Amir F. Atiya, Mohamed A. Aly, A. Atiya, 2013, ACL.

Symbolic function network

Amir F. Atiya, George S. Eskander, A. Atiya, 2009, Neural Networks.

An Empirical Comparison of Machine Learning Models for Time Series Forecasting

Amir F. Atiya, Nesreen K. Ahmed, Neamat El Gayar, 2010 .

Arabic Spelling Correction using Supervised Learning

Amir F. Atiya, Mohamed A. Aly, Youssef Hassan, 2014, ANLP@EMNLP.

A multi-layered approach for Arabic text diacritization

Amir F. Atiya, Mohsen A. Rashwan, Aya S. Metwally, 2016, 2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA).

Round Trip Time Prediction Using the Symbolic Function Network Approach

Amir F. Atiya, Kil To Chong, Hyongsuk Kim, 2007, 2007 International Symposium on Information Technology Convergence (ISITC 2007).

A comparison between neural-network forecasting techniques-case study: river flow forecasting

Amir F. Atiya, Samir I. Shaheen, S. M. El-Shoura, 1999, IEEE Trans. Neural Networks.

A Novel Distribution Analysis for SMOTE Oversampling Method in Handling Class Imbalance

Amir F. Atiya, Dina Elreedy, 2019, ICCS.

A novel series expansion for the multivariate normal probability integrals based on Fourier series

Amir F. Atiya, Hatem A. Fayed, A. Atiya, 2014, Math. Comput..

New Approaches for Extracting Arabic Keyphrases

Amir F. Atiya, Mahmoud Nabil, Mohamed Aly, 2015, 2015 First International Conference on Arabic Computational Linguistics (ACLing).

A penalized likelihood based pattern classification algorithm

Amir F. Atiya, Ahmed Al-Ani, A. Atiya, 2009, Pattern Recognit..

A New Monte Carlo-Based Error Rate Estimator

Amir F. Atiya, Ahmed S. Hefny, 2010, ANNPR.

Pattern Classification Using a Penalized Likelihood Method

Amir F. Atiya, Ahmed Al-Ani, A. Atiya, 2010, ANNPR.

New results on recurrent network training: unifying the algorithms and accelerating convergence

Amir F. Atiya, Alexander G. Parlos, A. Atiya, 2000, IEEE Trans. Neural Networks Learn. Syst..

Neural Networks for Density Estimation

Amir F. Atiya, Malik Magdon-Ismail, A. Atiya, 1998, NIPS.

Estimating the Posterior Probabilities Using the K-Nearest Neighbor Rule

Amir F. Atiya, A. Atiya, 2005, Neural Computation.

A new multidimensional penalized likelihood regression method

Amir F. Atiya, Mostafa M. Hassan, Raafat El-Fouly, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

A practical gated expert network

Amir F. Atiya, Samir I. Shaheen, R. Aiyad, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals

Amir F. Atiya, Saeid Nahavandi, Abbas Khosravi, 2011, IEEE Transactions on Neural Networks.

Solution of systems of Boolean equations via the integer domain

Amir F. Atiya, Nevin Mahmoud Darwish, Ahmed H. Abdel-Gawad, 2010, Inf. Sci..

Direct Adaptive Control of Process Systems Using Recurrent Neural Networks

Amir F. Atiya, Alexander G. Parlos, Sanjay Parthasarathy, 1992, 1992 American Control Conference.

Introduction to the special issue on neural networks in financial engineering

Amir F. Atiya, Malik Magdon-Ismail, Yaser S. Abu-Mostafa, 2001, IEEE Trans. Neural Networks.

Hyperspherical Prototypes for Pattern Classification

Amir F. Atiya, Hatem A. Fayed, Sherif Hashem, 2009, Int. J. Pattern Recognit. Artif. Intell..

An algorithmic approach to adaptive state filtering using recurrent neural networks

Amir F. Atiya, Alexander G. Parlos, Sunil K. Menon, 2001, IEEE Trans. Neural Networks.

Cerberus: Applying Supervised and Reinforcement Learning Techniques to Capture the Flag Games

Amir F. Atiya, Ahmed S. Hefny, Ayat A. Hatem, 2008, AIIDE.

A new approach for context-independent handwritten offline diagram recognition using support vector machines

Amir F. Atiya, Khaled S. Refaat, Wael N. Helmy, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Fast Monte Carlo valuation of barrier options for jump diffusion processes

Amir F. Atiya, Steve A. K. Metwally, 2003, 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003. Proceedings..

A new accurate approximation for the Gaussian process classification problem

Amir F. Atiya, Ahmed H. Abdel-Gawad, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Neural Network vs. Linear Models for Stock Market Sectors Forecasting

Amir F. Atiya, Sherif Hashem, Mohamed A. El-Gamal, 2007, 2007 International Joint Conference on Neural Networks.

Multi-step-ahead prediction using dynamic recurrent neural networks

Amir F. Atiya, Alexander G. Parlos, Omar T. Rais, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Learning on a General Network

Amir F. Atiya, 1987, NIPS.

Forward and Backward Forecasting Ensembles for the Estimation of Time Series Missing Data

Amir F. Atiya, Neamat El Gayar, Tawfik A. Mohamed, 2014, ANNPR.

Oscillations and Synchronizations in Neural Networks: an Exploration of the Labeling Hypothesis

Amir F. Atiya, Pierre Baldi, P. Baldi, 1991, Int. J. Neural Syst..

Sparse basis selection: new results and application to adaptive prediction of video source traffic

Amir F. Atiya, Alexander G. Parlos, Mohamed A. Aly, 2005, IEEE Transactions on Neural Networks.

An Adaptive State Filtering Algorithm for Systems With Partially Known Dynamics

Amir F. Atiya, Alexander G. Parlos, Sunil Menon, 2002 .

A Novel Quota Sampling Algorithm for Generating Representative Random Samples given Small Sample Size

Amir F. Atiya, Mohamed Saleh, Ahmed M. Fouad, 2013, Int. J. Syst. Dyn. Appl..

Neuro-predictive process control using online controller adaptation

Amir F. Atiya, Alexander G. Parlos, Sanjay Parthasarathy, 2001, IEEE Trans. Control. Syst. Technol..

Density estimation and random variate generation using multilayer networks

Amir F. Atiya, Malik Magdon-Ismail, A. Atiya, 2002, IEEE Trans. Neural Networks.

The effect of genetic operations on the diversity of evolvable neural networks

Amir F. Atiya, Hany Sallam, Carlo S. Regazzoni, 2008 .

Regression in the Presence Missing Data Using Ensemble Methods

Amir F. Atiya, Neamat El Gayar, Mostafa M. Hassan, 2007, 2007 International Joint Conference on Neural Networks.

Adaptive state estimation using dynamic recurrent neural networks

Amir F. Atiya, Alexander G. Parlos, Sunil K. Menon, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Multi-Step Look-Ahead Optimization Methods for Dynamic Pricing With Demand Learning

Amir F. Atiya, Samir I. Shaheen, Dina Elreedy, 2021, IEEE Access.

Decision boundary clustering for efficient local SVM

Amir F. Atiya, Hatem A. Fayed, A. Atiya, 2021, Appl. Soft Comput..

New Vector-Space Embeddings for Recommender Systems

Amir F. Atiya, Samir I. Shaheen, Sandra Rizkallah, 2021, Applied Sciences.

Some Results Regarding the Estimation of Densities and Random Variate Generation Using Neural Networks

Amir F. Atiya, Malik Magdon-Ismail, 2000 .

Combination of long term and short term forecasts, with application to tourism demand forecasting

Amir F. Atiya, Robert Andrawis, Hisham El-Shishiny, 2011 .

Theory of Neural Networks

Amir F. Atiya, Yaser S. Abu-Mostafa, 1991 .