Amir F. Atiya

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 29

Top Venues

CoRR

Appl. Soft Comput.

Math. Comput.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Dina Elreedy, Amir F. Atiya, Firuz Kamalov
A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning. Mach. Learn. 113 (7) (2024)
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
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). Ann. Oper. Res. 339 (3) (2024)
Hussain Mohammed Dipu Kabir, Moloud Abdar, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan
SpinalNet: Deep Neural Network With Gradual Input. IEEE Trans. Artif. Intell. 4 (5) (2023)
Sandra Rizkallah, Amir F. Atiya, Samir I. Shaheen
ARCOQ: Arabic Closest Opposite Questions Dataset. CoRR (2023)
Ahmad B. A. Hassanat, Ghada Awad Altarawneh, Ibraheem M. Alkhawaldeh, Yasmeen Jamal Alabdallat, Amir F. Atiya, Ahmad Abujaber, Ahmad S. Tarawneh
The Jeopardy of Learning from Over-Sampled Class-Imbalanced Medical Datasets. ISCC (2023)
Sandra Rizkallah, Amir F. Atiya, Samir I. Shaheen, Hossam ElDin Mahgoub
ArSphere: Arabic word vectors embedded in a polar sphere. Int. J. Speech Technol. 26 (1) (2023)
Firuz Kamalov, Amir F. Atiya, Dina Elreedy
Partial Resampling of Imbalanced Data. CoRR (2022)
Dina Elreedy, Amir F. Atiya, Samir I. Shaheen
Novel pricing strategies for revenue maximization and demand learning using an exploration-exploitation framework. Soft Comput. 25 (17) (2021)
Dina Elreedy, Amir F. Atiya, Samir I. Shaheen
Multi-Step Look-Ahead Optimization Methods for Dynamic Pricing With Demand Learning. IEEE Access 9 (2021)
Hatem A. Fayed, Amir F. Atiya
Decision boundary clustering for efficient local SVM. Appl. Soft Comput. 110 (2021)
Sandra Rizkallah, Amir F. Atiya, Samir I. Shaheen
Learning Spherical Word Vectors for Opinion Mining and Applying on Hotel Reviews. ISDA (2020)
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
Epileptic seizure detection using deep learning techniques: A Review. CoRR (2020)
Hussain Mohammed Dipu Kabir, Moloud Abdar, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan
SpinalNet: Deep Neural Network with Gradual Input. CoRR (2020)
Ahmed Khaled, Amir F. Atiya, Ahmed H. Abdel-Gawad
Applying fast matrix multiplication to neural networks. SAC (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
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020). CoRR (2020)
Dina Elreedy, Amir F. Atiya, Hatem A. Fayed, Mohamed Saleh
A framework for an agent-based dynamic pricing for broadband wireless price rate plans. J. Simulation 13 (2) (2019)
Dina Elreedy, Amir F. Atiya, Samir I. Shaheen
A Novel Active Learning Regression Framework for Balancing the Exploration-Exploitation Trade-Off. Entropy 21 (7) (2019)
Dina Elreedy, Amir F. Atiya
A Novel Distribution Analysis for SMOTE Oversampling Method in Handling Class Imbalance. ICCS (3) (2019)
Dina Elreedy, Amir F. Atiya
A Comprehensive Analysis of Synthetic Minority Oversampling Technique (SMOTE) for handling class imbalance. Inf. Sci. 505 (2019)
Hatem A. Fayed, Amir F. Atiya
Speed up grid-search for parameter selection of support vector machines. Appl. Soft Comput. 80 (2019)
Sandra Rizkallah, Amir F. Atiya, Hossam ElDin Mahgoub, Momen Heragy
Dialect Versus MSA Sentiment Analysis. AMLTA (2018)
Ahmed Helmi, Mohamed Waleed Fakhr, Amir F. Atiya
Multi-step ahead time series forecasting via sparse coding and dictionary based techniques. Appl. Soft Comput. 69 (2018)
Abdelrahman Fahmy, Wael Abdelhamid, Amir F. Atiya
Interactive Sketch Recognition Framework for Geometric Shapes. ICONIP (5) (2018)
Souhaib Ben Taieb, Amir F. Atiya
A Bias and Variance Analysis for Multistep-Ahead Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. 27 (1) (2016)
Michael Nawar Ibrahim, Amir F. Atiya
Analytical solutions to the dynamic pricing problem for time-normalized revenue. Eur. J. Oper. Res. 254 (2) (2016)
Mahmoud Nabil, Amir F. Atiya, Mohamed Aly
CUFE at SemEval-2016 Task 4: A Gated Recurrent Model for Sentiment Classification. SemEval@NAACL-HLT (2016)
Kholoud Dorgham, Mohamed Saleh, Amir F. Atiya
A Novel Dynamic Pricing Model for the Telecommunications Industry. MCO (2) (2015)
Mahmoud Nabil, Mohamed A. Aly, Amir F. Atiya
ASTD: Arabic Sentiment Tweets Dataset. EMNLP (2015)
Mohamed A. Zahran, Ahmed Magooda, Ashraf Y. Mahgoub, Hazem M. Raafat, Mohsen A. Rashwan, Amir F. Atiya
Word Representations in Vector Space and their Applications for Arabic. CICLing (1) (2015)
Mahmoud Nabil, Mohamed A. Aly, Amir F. Atiya
LABR: A Large Scale Arabic Book Reviews Dataset. CoRR (2014)
Hatem A. Fayed, Amir F. Atiya
A novel series expansion for the multivariate normal probability integrals based on Fourier series. Math. Comput. 83 (289) (2014)
Youssef Hassan, Mohamed A. Aly, Amir F. Atiya
Arabic Spelling Correction using Supervised Learning. ANLP@EMNLP (2014)
Youssef Hassan, Mohamed A. Aly, Amir F. Atiya
Arabic Spelling Correction using Supervised Learning. CoRR (2014)
Hatem A. Fayed, Amir F. Atiya
An evaluation of the integral of the product of the error function and the normal probability density with application to the bivariate normal integral. Math. Comput. 83 (285) (2014)
Tawfik A. Mohamed, Neamat El Gayar, Amir F. Atiya
Forward and Backward Forecasting Ensembles for the Estimation of Time Series Missing Data. ANNPR (2014)
Mohamed A. Aly, Amir F. Atiya
LABR: A Large Scale Arabic Book Reviews Dataset. ACL (2) (2013)
Ahmed M. Fouad, Mohamed Saleh, Amir F. Atiya
A Novel Quota Sampling Algorithm for Generating Representative Random Samples given Small Sample Size. Int. J. Syst. Dyn. Appl. 2 (1) (2013)
Hatem A. Fayed, Amir F. Atiya
-center problems. Comput. Optim. Appl. 54 (3) (2013)
Hatem A. Fayed, Amir F. Atiya
-center problems. Comput. Optim. Appl. 54 (3) (2013)
Souhaib Ben Taieb, Gianluca Bontempi, Amir F. Atiya, Antti Sorjamaa
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition. Expert Syst. Appl. 39 (8) (2012)
Amira Samy Talaat, Amir F. Atiya, Sahar A. Mokhtar, Ahmed Al-Ani, Magda Bahaa Eldin Fayek
Multiclass Penalized Likelihood Pattern Classification Algorithm. ICONIP (3) (2012)
Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya
Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances. IEEE Trans. Neural Networks 22 (9) (2011)
Souhaib Ben Taieb, Gianluca Bontempi, Amir F. Atiya, Antti Sorjamaa
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition CoRR (2011)
Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya
Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals. IEEE Trans. Neural Networks 22 (3) (2011)
Waleed M. Azmy, Amir F. Atiya, Hisham El-Shishiny
Forecast Combination Strategies for Handling Structural Breaks for Time Series Forecasting. MCS (2010)
Ahmed H. Abdel-Gawad, Amir F. Atiya, Nevin M. Darwish
Solution of systems of Boolean equations via the integer domain. Inf. Sci. 180 (2) (2010)
Ahmed Al-Ani, Amir F. Atiya
Pattern Classification Using a Penalized Likelihood Method. ANNPR (2010)
Ahmed S. Hefny, Amir F. Atiya
A New Monte Carlo-Based Error Rate Estimator. ANNPR (2010)
Khaled S. Refaat, Amir F. Atiya
Hand-Drawn Shape Recognition Using the SVM'ed Kernel. ICANN (2) (2009)
Akram AlSukker, Ahmed Al-Ani, Amir F. Atiya
A Modified K-Nearest Neighbor Classifier to Deal with Unbalanced Classes. IJCCI (2009)
Amir F. Atiya, Ahmed Al-Ani
A penalized likelihood based pattern classification algorithm. Pattern Recognit. 42 (11) (2009)
Hatem A. Fayed, Amir F. Atiya
A Novel Template Reduction Approach for the K -Nearest Neighbor Method. IEEE Trans. Neural Networks 20 (5) (2009)
Eman Ahmed, Neamat El Gayar, Amir F. Atiya, Iman A. El Azab
Fuzzy Gaussian Process Classification Model. ICIAR (2009)
Stefano Maludrottu, Carlo S. Regazzoni, Hany Sallam, Ihab Talkhan, Amir F. Atiya
Corner-based background segmentation using Adaptive Resonance Theory. ICIP (2009)
George S. Eskander, Amir F. Atiya
Symbolic function network. Neural Networks 22 (4) (2009)
Hatem A. Fayed, Amir F. Atiya, Sherif Hashem
Hyperspherical Prototypes for Pattern Classification. Int. J. Pattern Recognit. Artif. Intell. 23 (8) (2009)
Waleed M. Azmy, Neamat El Gayar, Amir F. Atiya, Hisham El-Shishiny
MLP, Gaussian Processes and Negative Correlation Learning for Time Series Prediction. MCS (2009)
Khaled S. Refaat, Wael N. Helmy, AbdelRahman H. Ali, Mohamed S. AbdelGhany, Amir F. Atiya
A new approach for context-independent handwritten offline diagram recognition using support vector machines. IJCNN (2008)
Ahmed S. Hefny, Ayat A. Hatem, Mahmoud M. Shalaby, Amir F. Atiya
Cerberus: Applying Supervised and Reinforcement Learning Techniques to Capture the Flag Games. AIIDE (2008)
Ahmed H. Abdel-Gawad, Amir F. Atiya
A new accurate approximation for the Gaussian process classification problem. IJCNN (2008)
Menrit S. Fahmy, Amir F. Atiya, Raafat S. Elfouly
Biometric Fusion Using Enhanced SVM Classification. IIH-MSP (2008)
George S. Eskander, Amir F. Atiya, Kil To Chong, Hyongsuk Kim, Sung Goo Yoo
Round Trip Time Prediction Using the Symbolic Function Network Approach CoRR (2008)
George S. Eskander, Amir F. Atiya
A Novel Symbolic Type Neural Network Model- Application to River Flow Forecasting CoRR (2008)
Mostafa M. Hassan, Amir F. Atiya, Raafat El-Fouly
A new multidimensional penalized likelihood regression method. IJCNN (2008)
Amir F. Atiya, Sung Goo Yoo, Kil To Chong, Hyongsuk Kim
Packet Loss Rate Prediction Using the Sparse Basis Prediction Model. IEEE Trans. Neural Networks 18 (3) (2007)
Tawfik A. Mohamed, Neamat El Gayar, Amir F. Atiya
A Co-training Approach for Time Series Prediction with Missing Data. MCS (2007)
Ghada Abdelmouez, Sherif Hashem, Amir F. Atiya, Mohamed A. El-Gamal
Neural Network vs. Linear Models for Stock Market Sectors Forecasting. IJCNN (2007)
Hatem A. Fayed, Sherif Hashem, Amir F. Atiya
Self-generating prototypes for pattern classification. Pattern Recognit. 40 (5) (2007)
Mostafa M. Hassan, Amir F. Atiya, Neamat El Gayar, Raafat El-Fouly
Regression in the Presence Missing Data Using Ensemble Methods. IJCNN (2007)
Amir F. Atiya
Analysis and Insights into the Variable Selection Problem. ICONIP (2) (2006)
Amir F. Atiya, Sherif Hashem, Hatem A. Fayed
Pattern Classification Using a Set of Compact Hyperspheres. ICONIP (2) (2006)
Alexander G. Parlos, Chuanyi Ji, Thomas Parisini, Marco Baglietto, Amir F. Atiya, Kimberly C. Claffy
Guest Editorial Introduction to the Special Issue on Adaptive Learning Systems in Communication Networks. IEEE Trans. Neural Networks 16 (5) (2005)
Amir F. Atiya
Estimating the Posterior Probabilities Using the K-Nearest Neighbor Rule. Neural Comput. 17 (3) (2005)
Amir F. Atiya, Mohamed A. Aly, Alexander G. Parlos
Sparse basis selection: new results and application to adaptive prediction of video source traffic. IEEE Trans. Neural Networks 16 (5) (2005)
Amir F. Atiya, Steve A. K. Metwally
Efficient Estimation of First Passage Time Density Function for Jump-Diffusion Processes. SIAM J. Sci. Comput. 26 (5) (2005)
Malik Magdon-Ismail, Amir F. Atiya, Amrit Pratap, Yaser S. Abu-Mostafa
The maximum drawdown of the Brownian motion. CIFEr (2003)
Steve A. K. Metwally, Amir F. Atiya
Fast Monte Carlo valuation of barrier options for jump diffusion processes. CIFEr (2003)
Aninda Bhattacharya, Alexander G. Parlos, Amir F. Atiya
Prediction of MPEG-coded video source traffic using recurrent neural networks. IEEE Trans. Signal Process. 51 (8) (2003)
Malik Magdon-Ismail, Amir F. Atiya
Density estimation and random variate generation using multilayer networks. IEEE Trans. Neural Networks 13 (3) (2002)
Amir F. Atiya
Bankruptcy prediction for credit risk using neural networks: A survey and new results. IEEE Trans. Neural Networks 12 (4) (2001)
Alexander G. Parlos, Sunil K. Menon, Amir F. Atiya
An algorithmic approach to adaptive state filtering using recurrent neural networks. IEEE Trans. Neural Networks 12 (6) (2001)
Yaser S. Abu-Mostafa, Amir F. Atiya, Malik Magdon-Ismail, Halbert L. White
Introduction to the special issue on neural networks in financial engineering. IEEE Trans. Neural Networks 12 (4) (2001)
Alexander G. Parlos, Sanjay Parthasarathy, Amir F. Atiya
Neuro-predictive process control using online controller adaptation. IEEE Trans. Control. Syst. Technol. 9 (5) (2001)
Alexander G. Parlos, Sanjay Parthasarathy, Amir F. Atiya
Neuro-predictive process control using online controller adaptation. ACC (2000)
Malik Magdon-Ismail, Amir F. Atiya
The Early Restart Algorithm. Neural Comput. 12 (6) (2000)
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman El-Dessouki
A new algorithm for learning in piecewise-linear neural networks. Neural Networks 13 (4-5) (2000)
Amir F. Atiya
Fast Algorithms for Computing Corporate Default Probabilities. IDEAL (2000)
Amir F. Atiya, Alexander G. Parlos
New results on recurrent network training: unifying the algorithms and accelerating convergence. IEEE Trans. Neural Networks Learn. Syst. 11 (3) (2000)
Alexander G. Parlos, Omar T. Rais, Amir F. Atiya
Multi-step-ahead prediction using dynamic recurrent neural networks. Neural Networks 13 (7) (2000)
Alexander G. Parlos, Sunil K. Menon, Amir F. Atiya
Adaptive state estimation using dynamic recurrent neural networks. IJCNN (1999)
Alexander G. Parlos, Omar T. Rais, Amir F. Atiya
Multi-step-ahead prediction using dynamic recurrent neural networks. IJCNN (1999)
Hosam Khalil, Amir F. Atiya, Samir I. Shaheen
Three-dimensional video compression using subband/wavelet transform with lower buffering requirements. IEEE Trans. Image Process. 8 (6) (1999)
Hosam Khalil, Amir F. Atiya, Samir I. Shaheen
Lowering Frame-Buffering Requirements of 3-D Wavelet Transform Coding of Interactive Video. ICIP (3) (1999)
Amir F. Atiya, S. M. El-Shoura, Samir I. Shaheen, M. S. El-Sherif
A comparison between neural-network forecasting techniques-case study: river flow forecasting. IEEE Trans. Neural Networks 10 (2) (1999)
Malik Magdon-Ismail, Amir F. Atiya
Neural Networks for Density Estimation. NIPS (1998)
Amir F. Atiya, Noha Talaat, Samir I. Shaheen
An efficient stock market forecasting model using neural networks. ICNN (1997)
Amir F. Atiya, Chuanyi Ji
How initial conditions affect generalization performance in large networks. IEEE Trans. Neural Networks 8 (2) (1997)
Hosam Khalil, Amir F. Atiya, Samir I. Shaheen
DCT of spatially adaptive subsampled interframes for image sequence coding. ICIP (3) (1996)
Yaser S. Abu-Mostafa, Amir F. Atiya
Introduction to Financial Forecasting. Appl. Intell. 6 (3) (1996)
Pierre Baldi, Amir F. Atiya
How delays affect neural dynamics and learning. IEEE Trans. Neural Networks 5 (4) (1994)

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Publication Activity (10 Years)

Top Topics

Top Venues

Amir F. Atiya