Amir F. Atiya

According to our database, Amir F. Atiya authored at least 105 papers between 1987 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya

Ann. Oper. Res., August, 2024

A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning.

Dina Elreedy, Amir F. Atiya, Firuz Kamalov

Mach. Learn., July, 2024

2023

SpinalNet: Deep Neural Network With Gradual Input.

Hussain Mohammed Dipu Kabir, Moloud Abdar, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan

IEEE Trans. Artif. Intell., October, 2023

ArSphere: Arabic word vectors embedded in a polar sphere.

Sandra Rizkallah, Amir F. Atiya, Samir I. Shaheen, Hossam ElDin Mahgoub

Int. J. Speech Technol., March, 2023

ARCOQ: Arabic Closest Opposite Questions Dataset.

Sandra Rizkallah, Amir F. Atiya, Samir I. Shaheen

CoRR, 2023

The Jeopardy of Learning from Over-Sampled Class-Imbalanced Medical Datasets.

Ahmad B. A. Hassanat, Ghada Awad Altarawneh, Ibraheem M. Alkhawaldeh, Yasmeen Jamal Alabdallat, Amir F. Atiya, Ahmad Abujaber, Ahmad S. Tarawneh

Proceedings of the IEEE Symposium on Computers and Communications, 2023

2022

Partial Resampling of Imbalanced Data.

Firuz Kamalov, Amir F. Atiya, Dina Elreedy

CoRR, 2022

2021

Novel pricing strategies for revenue maximization and demand learning using an exploration-exploitation framework.

Dina Elreedy, Amir F. Atiya, Samir I. Shaheen

Soft Comput., 2021

Decision boundary clustering for efficient local SVM.

Hatem A. Fayed, Amir F. Atiya

Appl. Soft Comput., 2021

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

Dina Elreedy, Amir F. Atiya, Samir I. Shaheen

IEEE Access, 2021

2020

Epileptic seizure detection using deep learning techniques: A Review.

Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Sadiq Hussain, Roohallah Alizadehsani, Parisa Moridian, Abbas Khosravi, Hossein Hosseini-Nejad, Modjtaba Rouhani, Assef Zare, Ali Khadem, Saeid Nahavandi, Amir F. Atiya, U. Rajendra Acharya

CoRR, 2020

Applying fast matrix multiplication to neural networks.

Ahmed Khaled, Amir F. Atiya, Ahmed H. Abdel-Gawad

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Learning Spherical Word Vectors for Opinion Mining and Applying on Hotel Reviews.

Sandra Rizkallah, Amir F. Atiya, Samir I. Shaheen

Proceedings of the Intelligent Systems Design and Applications, 2020

2019

A framework for an agent-based dynamic pricing for broadband wireless price rate plans.

Dina Elreedy, Amir F. Atiya, Hatem A. Fayed, Mohamed Saleh

J. Simulation, 2019

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

Dina Elreedy, Amir F. Atiya

Inf. Sci., 2019

A Novel Active Learning Regression Framework for Balancing the Exploration-Exploitation Trade-Off.

Dina Elreedy, Amir F. Atiya, Samir I. Shaheen

Entropy, 2019

Speed up grid-search for parameter selection of support vector machines.

Hatem A. Fayed, Amir F. Atiya

Appl. Soft Comput., 2019

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

Dina Elreedy, Amir F. Atiya

Proceedings of the Computational Science - ICCS 2019, 2019

2018

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

Ahmed Helmi, Mohamed Waleed Fakhr, Amir F. Atiya

Appl. Soft Comput., 2018

Interactive Sketch Recognition Framework for Geometric Shapes.

Abdelrahman Fahmy, Wael Abdelhamid, Amir F. Atiya

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Dialect Versus MSA Sentiment Analysis.

Sandra Rizkallah, Amir F. Atiya, Hossam ElDin Mahgoub, Momen Heragy

Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, 2018

2016

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

Souhaib Ben Taieb, Amir F. Atiya

IEEE Trans. Neural Networks Learn. Syst., 2016

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

Michael Nawar Ibrahim, Amir F. Atiya

Eur. J. Oper. Res., 2016

CUFE at SemEval-2016 Task 4: A Gated Recurrent Model for Sentiment Classification.

Mahmoud Nabil, Amir F. Atiya, Mohamed Aly

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

2015

A Novel Dynamic Pricing Model for the Telecommunications Industry.

Kholoud Dorgham, Mohamed Saleh, Amir F. Atiya

Proceedings of the Modelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, 2015

ASTD: Arabic Sentiment Tweets Dataset.

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

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Word Representations in Vector Space and their Applications for Arabic.

Mohamed A. Zahran, Ahmed Magooda, Ashraf Y. Mahgoub, Hazem M. Raafat, Mohsen A. Rashwan, Amir F. Atiya

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

2014

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

Hatem A. Fayed, Amir F. Atiya

Math. Comput., 2014

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

Hatem A. Fayed, Amir F. Atiya

Math. Comput., 2014

LABR: A Large Scale Arabic Book Reviews Dataset.

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

CoRR, 2014

Arabic Spelling Correction using Supervised Learning.

Youssef Hassan, Mohamed A. Aly, Amir F. Atiya

Proceedings of the EMNLP 2014 Workshop on Arabic Natural Language Processing, 2014

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

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

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2014

2013

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

Ahmed M. Fouad, Mohamed Saleh, Amir F. Atiya

Int. J. Syst. Dyn. Appl., 2013

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

Hatem A. Fayed, Amir F. Atiya

Comput. Optim. Appl., 2013

A mixed breadth-depth first strategy for the branch and bound tree of Euclidean <i>k</i>-center problems.

Hatem A. Fayed, Amir F. Atiya

Comput. Optim. Appl., 2013

LABR: A Large Scale Arabic Book Reviews Dataset.

Mohamed A. Aly, Amir F. Atiya

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

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

Souhaib Ben Taieb, Gianluca Bontempi, Amir F. Atiya, Antti Sorjamaa

Expert Syst. Appl., 2012

Multiclass Penalized Likelihood Pattern Classification Algorithm.

Amira Samy Talaat, Amir F. Atiya, Sahar A. Mokhtar, Ahmed Al-Ani, Magda Bahaa Eldin Fayek

Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011

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

Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya

IEEE Trans. Neural Networks, 2011

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

Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya

IEEE Trans. Neural Networks, 2011

2010

Solution of systems of Boolean equations via the integer domain.

Ahmed H. Abdel-Gawad, Amir F. Atiya, Nevin M. Darwish

Inf. Sci., 2010

Forecast Combination Strategies for Handling Structural Breaks for Time Series Forecasting.

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

Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010

A New Monte Carlo-Based Error Rate Estimator.

Ahmed S. Hefny, Amir F. Atiya

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2010

Pattern Classification Using a Penalized Likelihood Method.

Ahmed Al-Ani, Amir F. Atiya

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2010

2009

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

Hatem A. Fayed, Amir F. Atiya

IEEE Trans. Neural Networks, 2009

A penalized likelihood based pattern classification algorithm.

Amir F. Atiya, Ahmed Al-Ani

Pattern Recognit., 2009

Symbolic function network.

George S. Eskander, Amir F. Atiya

Neural Networks, 2009

Hyperspherical Prototypes for Pattern Classification.

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

Int. J. Pattern Recognit. Artif. Intell., 2009

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

Waleed M. Azmy, Neamat El Gayar, Amir F. Atiya, Hisham El-Shishiny

Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

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

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

Proceedings of the IJCCI 2009, 2009

Corner-based background segmentation using Adaptive Resonance Theory.

Stefano Maludrottu, Carlo S. Regazzoni, Hany Sallam, Ihab Talkhan, Amir F. Atiya

Proceedings of the International Conference on Image Processing, 2009

Fuzzy Gaussian Process Classification Model.

Eman Ahmed, Neamat El Gayar, Amir F. Atiya, Iman A. El Azab

Proceedings of the Image Analysis and Recognition, 6th International Conference, 2009

Hand-Drawn Shape Recognition Using the SVM'ed Kernel.

Khaled S. Refaat, Amir F. Atiya

Proceedings of the Artificial Neural Networks, 2009

2008

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

George S. Eskander, Amir F. Atiya

CoRR, 2008

Round Trip Time Prediction Using the Symbolic Function Network Approach

George S. Eskander, Amir F. Atiya, Kil To Chong, Hyongsuk Kim, Sung Goo Yoo

CoRR, 2008

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

Khaled S. Refaat, Wael N. Helmy, AbdelRahman H. Ali, Mohamed S. AbdelGhany, Amir F. Atiya

Proceedings of the International Joint Conference on Neural Networks, 2008

A new multidimensional penalized likelihood regression method.

Mostafa M. Hassan, Amir F. Atiya, Raafat El-Fouly

Proceedings of the International Joint Conference on Neural Networks, 2008

A new accurate approximation for the Gaussian process classification problem.

Ahmed H. Abdel-Gawad, Amir F. Atiya

Proceedings of the International Joint Conference on Neural Networks, 2008

Biometric Fusion Using Enhanced SVM Classification.

Menrit S. Fahmy, Amir F. Atiya, Raafat S. Elfouly

Proceedings of the 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2008), 2008

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

Ahmed S. Hefny, Ayat A. Hatem, Mahmoud M. Shalaby, Amir F. Atiya

Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference, 2008

2007

Packet Loss Rate Prediction Using the Sparse Basis Prediction Model.

Amir F. Atiya, Sung Goo Yoo, Kil To Chong, Hyongsuk Kim

IEEE Trans. Neural Networks, 2007

Self-generating prototypes for pattern classification.

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

Pattern Recognit., 2007

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

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

Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

Regression in the Presence Missing Data Using Ensemble Methods.

Mostafa M. Hassan, Amir F. Atiya, Neamat El Gayar, Raafat El-Fouly

Proceedings of the International Joint Conference on Neural Networks, 2007

Neural Network vs. Linear Models for Stock Market Sectors Forecasting.

Ghada Abdelmouez, Sherif Hashem, Amir F. Atiya, Mohamed A. El-Gamal

Proceedings of the International Joint Conference on Neural Networks, 2007

2006

Pattern Classification Using a Set of Compact Hyperspheres.

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

Proceedings of the Neural Information Processing, 13th International Conference, 2006

Analysis and Insights into the Variable Selection Problem.

Amir F. Atiya

Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005

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

Alexander G. Parlos, Chuanyi Ji, Thomas Parisini, Marco Baglietto, Amir F. Atiya, Kimberly C. Claffy

IEEE Trans. Neural Networks, 2005

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

Amir F. Atiya, Mohamed A. Aly, Alexander G. Parlos

IEEE Trans. Neural Networks, 2005

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

Amir F. Atiya, Steve A. K. Metwally

SIAM J. Sci. Comput., 2005

Estimating the Posterior Probabilities Using the K-Nearest Neighbor Rule.

Amir F. Atiya

Neural Comput., 2005

2003

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

Aninda Bhattacharya, Alexander G. Parlos, Amir F. Atiya

IEEE Trans. Signal Process., 2003

Fast Monte Carlo valuation of barrier options for jump diffusion processes.

Steve A. K. Metwally, Amir F. Atiya

Proceedings of the 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003

The maximum drawdown of the Brownian motion.

Malik Magdon-Ismail, Amir F. Atiya, Amrit Pratap, Yaser S. Abu-Mostafa

Proceedings of the 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003

2002

Density estimation and random variate generation using multilayer networks.

Malik Magdon-Ismail, Amir F. Atiya

IEEE Trans. Neural Networks, 2002

2001

An algorithmic approach to adaptive state filtering using recurrent neural networks.

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

IEEE Trans. Neural Networks, 2001

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

Amir F. Atiya

IEEE Trans. Neural Networks, 2001

Introduction to the special issue on neural networks in financial engineering.

Yaser S. Abu-Mostafa, Amir F. Atiya, Malik Magdon-Ismail, Halbert L. White

IEEE Trans. Neural Networks, 2001

Neuro-predictive process control using online controller adaptation.

Alexander G. Parlos, Sanjay Parthasarathy, Amir F. Atiya

IEEE Trans. Control. Syst. Technol., 2001

2000

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

Amir F. Atiya, Alexander G. Parlos

IEEE Trans. Neural Networks Learn. Syst., 2000

Multi-step-ahead prediction using dynamic recurrent neural networks.

Alexander G. Parlos, Omar T. Rais, Amir F. Atiya

Neural Networks, 2000

A new algorithm for learning in piecewise-linear neural networks.

Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman El-Dessouki

Neural Networks, 2000

The Early Restart Algorithm.

Malik Magdon-Ismail, Amir F. Atiya

Neural Comput., 2000

Fast Algorithms for Computing Corporate Default Probabilities.

Amir F. Atiya

Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

1999

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

Amir F. Atiya, S. M. El-Shoura, Samir I. Shaheen, M. S. El-Sherif

IEEE Trans. Neural Networks, 1999

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

Hosam Khalil, Amir F. Atiya, Samir I. Shaheen

IEEE Trans. Image Process., 1999

Adaptive state estimation using dynamic recurrent neural networks.

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

Proceedings of the International Joint Conference Neural Networks, 1999

Lowering Frame-Buffering Requirements of 3-D Wavelet Transform Coding of Interactive Video.

Hosam Khalil, Amir F. Atiya, Samir I. Shaheen

Proceedings of the 1999 International Conference on Image Processing, 1999

1998

Neural Networks for Density Estimation.

Malik Magdon-Ismail, Amir F. Atiya

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Genetic application in the design of dynamic interconnection networks.

A. Sayed, Hoda Baraka, Amir F. Atiya

Proceedings of the Third IEEE Symposium on Computers and Communications (ISCC 1998), June 30, 1998

An integrated model for intranet security using prevention and detection techniques.

Hoda Baraka, Hatem Manawy, Amir F. Atiya

Proceedings of the Third IEEE Symposium on Computers and Communications (ISCC 1998), June 30, 1998

1997

How initial conditions affect generalization performance in large networks.

Amir F. Atiya, Chuanyi Ji

IEEE Trans. Neural Networks, 1997

An efficient stock market forecasting model using neural networks.

Amir F. Atiya, Noha Talaat, Samir I. Shaheen

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996

Introduction to Financial Forecasting.

Yaser S. Abu-Mostafa, Amir F. Atiya

Appl. Intell., 1996

DCT of spatially adaptive subsampled interframes for image sequence coding.

Hosam Khalil, Amir F. Atiya, Samir I. Shaheen

Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

1994

An accelerated learning algorithm for multilayer perceptron networks.

Alexander G. Parlos, Benito Fernández, Amir F. Atiya, Jayakumar Muthusami, Wei Kang Tsai

IEEE Trans. Neural Networks, 1994

Application of the recurrent multilayer perceptron in modeling complex process dynamics.

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

IEEE Trans. Neural Networks, 1994

How delays affect neural dynamics and learning.

Pierre Baldi, Amir F. Atiya

IEEE Trans. Neural Networks, 1994

1993

An analog feedback associative memory.

Amir F. Atiya, Yaser S. Abu-Mostafa

IEEE Trans. Neural Networks, 1993

1990

An unsupervised learning technique for artificial neural networks.

Amir F. Atiya

Neural Networks, 1990

1989

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

Amir F. Atiya, Pierre Baldi

Int. J. Neural Syst., 1989

A Method for the Associative Storage of Analog Vectors.

Amir F. Atiya, Yaser S. Abu-Mostafa

Proceedings of the Advances in Neural Information Processing Systems 2, 1989

1987

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

Amir F. Atiya, Talaat S. El-Sheikh

IEEE Trans. Syst. Man Cybern., 1987

Optimal Neural Spike Classification.

James M. Bower, Amir F. Atiya

Proceedings of the Neural Information Processing Systems, Denver, Colorado, USA, 1987, 1987

Learning on a General Network.

Amir F. Atiya

Proceedings of the Neural Information Processing Systems, Denver, Colorado, USA, 1987, 1987