Amir F. Atiya - RankMe

112 papers A* 1B 8C 7Misc 1Journal 65Unranked 30

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning. Mach. Learn. Dina Elreedy, Amir F. Atiya, Firuz Kamalov
2024	J	`jnl`	Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). Ann. Oper. Res. 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
2023	J	`jnl`	ARCOQ: Arabic Closest Opposite Questions Dataset. CoRR Sandra Rizkallah, Amir F. Atiya, Samir I. Shaheen
2023	J	`jnl`	ArSphere: Arabic word vectors embedded in a polar sphere. Int. J. Speech Technol. Sandra Rizkallah, Amir F. Atiya, Samir I. Shaheen, Hossam ElDin Mahgoub
2023	J	`jnl`	SpinalNet: Deep Neural Network With Gradual Input. IEEE Trans. Artif. Intell. Hussain Mohammed Dipu Kabir, Moloud Abdar, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan
2023	C	`conf`	The Jeopardy of Learning from Over-Sampled Class-Imbalanced Medical Datasets. ISCC Ahmad B. A. Hassanat, Ghada Awad Altarawneh, Ibraheem M. Alkhawaldeh, Yasmeen Jamal Alabdallat, Amir F. Atiya, Ahmad Abujaber, Ahmad S. Tarawneh
2022	J	`jnl`	Partial Resampling of Imbalanced Data. CoRR Firuz Kamalov, Amir F. Atiya, Dina Elreedy
2021	J	`jnl`	Decision boundary clustering for efficient local SVM. Appl. Soft Comput. Hatem A. Fayed, Amir F. Atiya
2021	J	`jnl`	Multi-Step Look-Ahead Optimization Methods for Dynamic Pricing With Demand Learning. IEEE Access Dina Elreedy, Amir F. Atiya, Samir I. Shaheen
2021	J	`jnl`	Novel pricing strategies for revenue maximization and demand learning using an exploration-exploitation framework. Soft Comput. Dina Elreedy, Amir F. Atiya, Samir I. Shaheen
2020	Misc	`conf`	Applying fast matrix multiplication to neural networks. SAC Ahmed Khaled, Amir F. Atiya, Ahmed H. Abdel-Gawad
2020	J	`jnl`	Epileptic seizure detection using deep learning techniques: A Review. CoRR 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
2020	J	`jnl`	Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020). CoRR 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
2020	C	`conf`	Learning Spherical Word Vectors for Opinion Mining and Applying on Hotel Reviews. ISDA Sandra Rizkallah, Amir F. Atiya, Samir I. Shaheen
2020	J	`jnl`	SpinalNet: Deep Neural Network with Gradual Input. CoRR Hussain Mohammed Dipu Kabir, Moloud Abdar, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan
2019	J	`jnl`	A Comprehensive Analysis of Synthetic Minority Oversampling Technique (SMOTE) for handling class imbalance. Inf. Sci. Dina Elreedy, Amir F. Atiya
2019	J	`jnl`	A Novel Active Learning Regression Framework for Balancing the Exploration-Exploitation Trade-Off. Entropy Dina Elreedy, Amir F. Atiya, Samir I. Shaheen
2019	—	`conf`	A Novel Distribution Analysis for SMOTE Oversampling Method in Handling Class Imbalance. ICCS (3) Dina Elreedy, Amir F. Atiya
2019	J	`jnl`	A framework for an agent-based dynamic pricing for broadband wireless price rate plans. J. Simulation Dina Elreedy, Amir F. Atiya, Hatem A. Fayed, Mohamed Saleh
2019	J	`jnl`	Speed up grid-search for parameter selection of support vector machines. Appl. Soft Comput. Hatem A. Fayed, Amir F. Atiya
2018	—	`conf`	Dialect Versus MSA Sentiment Analysis. AMLTA Sandra Rizkallah, Amir F. Atiya, Hossam ElDin Mahgoub, Momen Heragy
2018	—	`conf`	Interactive Sketch Recognition Framework for Geometric Shapes. ICONIP (5) Abdelrahman Fahmy, Wael Abdelhamid, Amir F. Atiya
2018	J	`jnl`	Multi-step ahead time series forecasting via sparse coding and dictionary based techniques. Appl. Soft Comput. Ahmed Helmi, Mohamed Waleed Fakhr, Amir F. Atiya
2016	J	`jnl`	A Bias and Variance Analysis for Multistep-Ahead Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. Souhaib Ben Taieb, Amir F. Atiya
2016	J	`jnl`	Analytical solutions to the dynamic pricing problem for time-normalized revenue. Eur. J. Oper. Res. Michael Nawar Ibrahim, Amir F. Atiya
2016	—	`conf`	CUFE at SemEval-2016 Task 4: A Gated Recurrent Model for Sentiment Classification. SemEval@NAACL-HLT Mahmoud Nabil, Amir F. Atiya, Mohamed Aly
2015	—	`conf`	A Novel Dynamic Pricing Model for the Telecommunications Industry. MCO (2) Kholoud Dorgham, Mohamed Saleh, Amir F. Atiya
2015	A*	`conf`	ASTD: Arabic Sentiment Tweets Dataset. EMNLP Mahmoud Nabil, Mohamed A. Aly, Amir F. Atiya
2015	—	`conf`	Word Representations in Vector Space and their Applications for Arabic. CICLing (1) Mohamed A. Zahran, Ahmed Magooda, Ashraf Y. Mahgoub, Hazem M. Raafat, Mohsen A. Rashwan, Amir F. Atiya
2014	J	`jnl`	A novel series expansion for the multivariate normal probability integrals based on Fourier series. Math. Comput. Hatem A. Fayed, Amir F. Atiya
2014	J	`jnl`	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. Hatem A. Fayed, Amir F. Atiya
2014	—	`conf`	Arabic Spelling Correction using Supervised Learning. ANLP@EMNLP Youssef Hassan, Mohamed A. Aly, Amir F. Atiya
2014	J	`jnl`	Arabic Spelling Correction using Supervised Learning. CoRR Youssef Hassan, Mohamed A. Aly, Amir F. Atiya
2014	—	`conf`	Forward and Backward Forecasting Ensembles for the Estimation of Time Series Missing Data. ANNPR Tawfik A. Mohamed, Neamat El Gayar, Amir F. Atiya
2014	J	`jnl`	LABR: A Large Scale Arabic Book Reviews Dataset. CoRR Mahmoud Nabil, Mohamed A. Aly, Amir F. Atiya
2013	J	`jnl`	A Novel Quota Sampling Algorithm for Generating Representative Random Samples given Small Sample Size. Int. J. Syst. Dyn. Appl. Ahmed M. Fouad, Mohamed Saleh, Amir F. Atiya
2013	J	`jnl`	A mixed breadth-depth first strategy for the branch and bound tree of Euclidean Comput. Optim. Appl. Hatem A. Fayed, Amir F. Atiya
2013	J	`jnl`	Erratum to: A mixed breadth-depth first strategy for the branch and bound tree of Euclidean Comput. Optim. Appl. Hatem A. Fayed, Amir F. Atiya
2013	—	`conf`	LABR: A Large Scale Arabic Book Reviews Dataset. ACL (2) Mohamed A. Aly, Amir F. Atiya
2012	J	`jnl`	A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition. Expert Syst. Appl. Souhaib Ben Taieb, Gianluca Bontempi, Amir F. Atiya, Antti Sorjamaa
2012	—	`conf`	Multiclass Penalized Likelihood Pattern Classification Algorithm. ICONIP (3) Amira Samy Talaat, Amir F. Atiya, Sahar A. Mokhtar, Ahmed Al-Ani, Magda Bahaa Eldin Fayek
2011	J	`jnl`	A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition CoRR Souhaib Ben Taieb, Gianluca Bontempi, Amir F. Atiya, Antti Sorjamaa
2011	J	`jnl`	Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances. IEEE Trans. Neural Networks Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya
2011	J	`jnl`	Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals. IEEE Trans. Neural Networks Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya
2010	—	`conf`	A New Monte Carlo-Based Error Rate Estimator. ANNPR Ahmed S. Hefny, Amir F. Atiya
2010	—	`conf`	Forecast Combination Strategies for Handling Structural Breaks for Time Series Forecasting. MCS Waleed M. Azmy, Amir F. Atiya, Hisham El-Shishiny
2010	—	`conf`	Pattern Classification Using a Penalized Likelihood Method. ANNPR Ahmed Al-Ani, Amir F. Atiya
2010	J	`jnl`	Solution of systems of Boolean equations via the integer domain. Inf. Sci. Ahmed H. Abdel-Gawad, Amir F. Atiya, Nevin M. Darwish
2009	C	`conf`	A Modified K-Nearest Neighbor Classifier to Deal with Unbalanced Classes. IJCCI Akram AlSukker, Ahmed Al-Ani, Amir F. Atiya
2009	J	`jnl`	A Novel Template Reduction Approach for the K -Nearest Neighbor Method. IEEE Trans. Neural Networks Hatem A. Fayed, Amir F. Atiya
2009	J	`jnl`	A penalized likelihood based pattern classification algorithm. Pattern Recognit. Amir F. Atiya, Ahmed Al-Ani
2009	B	`conf`	Corner-based background segmentation using Adaptive Resonance Theory. ICIP Stefano Maludrottu, Carlo S. Regazzoni, Hany Sallam, Ihab Talkhan, Amir F. Atiya
2009	—	`conf`	Fuzzy Gaussian Process Classification Model. ICIAR Eman Ahmed, Neamat El Gayar, Amir F. Atiya, Iman A. El Azab
2009	—	`conf`	Hand-Drawn Shape Recognition Using the SVM'ed Kernel. ICANN (2) Khaled S. Refaat, Amir F. Atiya
2009	J	`jnl`	Hyperspherical Prototypes for Pattern Classification. Int. J. Pattern Recognit. Artif. Intell. Hatem A. Fayed, Amir F. Atiya, Sherif Hashem
2009	—	`conf`	MLP, Gaussian Processes and Negative Correlation Learning for Time Series Prediction. MCS Waleed M. Azmy, Neamat El Gayar, Amir F. Atiya, Hisham El-Shishiny
2009	J	`jnl`	Symbolic function network. Neural Networks George S. Eskander, Amir F. Atiya
2008	J	`jnl`	A Novel Symbolic Type Neural Network Model- Application to River Flow Forecasting CoRR George S. Eskander, Amir F. Atiya
2008	B	`conf`	A new accurate approximation for the Gaussian process classification problem. IJCNN Ahmed H. Abdel-Gawad, Amir F. Atiya
2008	B	`conf`	A new approach for context-independent handwritten offline diagram recognition using support vector machines. IJCNN Khaled S. Refaat, Wael N. Helmy, AbdelRahman H. Ali, Mohamed S. AbdelGhany, Amir F. Atiya
2008	B	`conf`	A new multidimensional penalized likelihood regression method. IJCNN Mostafa M. Hassan, Amir F. Atiya, Raafat El-Fouly
2008	—	`conf`	Biometric Fusion Using Enhanced SVM Classification. IIH-MSP Menrit S. Fahmy, Amir F. Atiya, Raafat S. Elfouly
2008	—	`conf`	Cerberus: Applying Supervised and Reinforcement Learning Techniques to Capture the Flag Games. AIIDE Ahmed S. Hefny, Ayat A. Hatem, Mahmoud M. Shalaby, Amir F. Atiya
2008	J	`jnl`	Round Trip Time Prediction Using the Symbolic Function Network Approach CoRR George S. Eskander, Amir F. Atiya, Kil To Chong, Hyongsuk Kim, Sung Goo Yoo
2007	—	`conf`	A Co-training Approach for Time Series Prediction with Missing Data. MCS Tawfik A. Mohamed, Neamat El Gayar, Amir F. Atiya
2007	B	`conf`	Neural Network vs. Linear Models for Stock Market Sectors Forecasting. IJCNN Ghada Abdelmouez, Sherif Hashem, Amir F. Atiya, Mohamed A. El-Gamal
2007	J	`jnl`	Packet Loss Rate Prediction Using the Sparse Basis Prediction Model. IEEE Trans. Neural Networks Amir F. Atiya, Sung Goo Yoo, Kil To Chong, Hyongsuk Kim
2007	B	`conf`	Regression in the Presence Missing Data Using Ensemble Methods. IJCNN Mostafa M. Hassan, Amir F. Atiya, Neamat El Gayar, Raafat El-Fouly
2007	J	`jnl`	Self-generating prototypes for pattern classification. Pattern Recognit. Hatem A. Fayed, Sherif Hashem, Amir F. Atiya
2006	—	`conf`	Analysis and Insights into the Variable Selection Problem. ICONIP (2) Amir F. Atiya
2006	—	`conf`	Pattern Classification Using a Set of Compact Hyperspheres. ICONIP (2) Amir F. Atiya, Sherif Hashem, Hatem A. Fayed
2005	J	`jnl`	Efficient Estimation of First Passage Time Density Function for Jump-Diffusion Processes. SIAM J. Sci. Comput. Amir F. Atiya, Steve A. K. Metwally
2005	J	`jnl`	Estimating the Posterior Probabilities Using the K-Nearest Neighbor Rule. Neural Comput. Amir F. Atiya
2005	J	`jnl`	Guest Editorial Introduction to the Special Issue on Adaptive Learning Systems in Communication Networks. IEEE Trans. Neural Networks Alexander G. Parlos, Chuanyi Ji, Thomas Parisini, Marco Baglietto, Amir F. Atiya, Kimberly C. Claffy
2005	J	`jnl`	Sparse basis selection: new results and application to adaptive prediction of video source traffic. IEEE Trans. Neural Networks Amir F. Atiya, Mohamed A. Aly, Alexander G. Parlos
2003	—	`conf`	Fast Monte Carlo valuation of barrier options for jump diffusion processes. CIFEr Steve A. K. Metwally, Amir F. Atiya
2003	J	`jnl`	Prediction of MPEG-coded video source traffic using recurrent neural networks. IEEE Trans. Signal Process. Aninda Bhattacharya, Alexander G. Parlos, Amir F. Atiya
2003	—	`conf`	The maximum drawdown of the Brownian motion. CIFEr Malik Magdon-Ismail, Amir F. Atiya, Amrit Pratap, Yaser S. Abu-Mostafa
2002	J	`jnl`	Density estimation and random variate generation using multilayer networks. IEEE Trans. Neural Networks Malik Magdon-Ismail, Amir F. Atiya
2001	J	`jnl`	An algorithmic approach to adaptive state filtering using recurrent neural networks. IEEE Trans. Neural Networks Alexander G. Parlos, Sunil K. Menon, Amir F. Atiya
2001	J	`jnl`	Bankruptcy prediction for credit risk using neural networks: A survey and new results. IEEE Trans. Neural Networks Amir F. Atiya
2001	J	`jnl`	Introduction to the special issue on neural networks in financial engineering. IEEE Trans. Neural Networks Yaser S. Abu-Mostafa, Amir F. Atiya, Malik Magdon-Ismail, Halbert L. White
2001	J	`jnl`	Neuro-predictive process control using online controller adaptation. IEEE Trans. Control. Syst. Technol. Alexander G. Parlos, Sanjay Parthasarathy, Amir F. Atiya
2000	J	`jnl`	A new algorithm for learning in piecewise-linear neural networks. Neural Networks Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman El-Dessouki
2000	C	`conf`	Fast Algorithms for Computing Corporate Default Probabilities. IDEAL Amir F. Atiya
2000	J	`jnl`	Multi-step-ahead prediction using dynamic recurrent neural networks. Neural Networks Alexander G. Parlos, Omar T. Rais, Amir F. Atiya
2000	C	`conf`	Neuro-predictive process control using online controller adaptation. ACC Alexander G. Parlos, Sanjay Parthasarathy, Amir F. Atiya
2000	J	`jnl`	New results on recurrent network training: unifying the algorithms and accelerating convergence. IEEE Trans. Neural Networks Learn. Syst. Amir F. Atiya, Alexander G. Parlos
2000	J	`jnl`	The Early Restart Algorithm. Neural Comput. Malik Magdon-Ismail, Amir F. Atiya
1999	J	`jnl`	A comparison between neural-network forecasting techniques-case study: river flow forecasting. IEEE Trans. Neural Networks Amir F. Atiya, S. M. El-Shoura, Samir I. Shaheen, M. S. El-Sherif
1999	B	`conf`	Adaptive state estimation using dynamic recurrent neural networks. IJCNN Alexander G. Parlos, Sunil K. Menon, Amir F. Atiya
1999	—	`conf`	Lowering Frame-Buffering Requirements of 3-D Wavelet Transform Coding of Interactive Video. ICIP (3) Hosam Khalil, Amir F. Atiya, Samir I. Shaheen
1999	B	`conf`	Multi-step-ahead prediction using dynamic recurrent neural networks. IJCNN Alexander G. Parlos, Omar T. Rais, Amir F. Atiya
1999	J	`jnl`	Three-dimensional video compression using subband/wavelet transform with lower buffering requirements. IEEE Trans. Image Process. Hosam Khalil, Amir F. Atiya, Samir I. Shaheen
1998	C	`conf`	An integrated model for intranet security using prevention and detection techniques. ISCC Hoda Baraka, Hatem Manawy, Amir F. Atiya
1998	C	`conf`	Genetic application in the design of dynamic interconnection networks. ISCC A. Sayed, Hoda Baraka, Amir F. Atiya
1998	—	`conf`	Neural Networks for Density Estimation. NIPS Malik Magdon-Ismail, Amir F. Atiya
1997	—	`conf`	An efficient stock market forecasting model using neural networks. ICNN Amir F. Atiya, Noha Talaat, Samir I. Shaheen
1997	J	`jnl`	How initial conditions affect generalization performance in large networks. IEEE Trans. Neural Networks Amir F. Atiya, Chuanyi Ji
1996	—	`conf`	DCT of spatially adaptive subsampled interframes for image sequence coding. ICIP (3) Hosam Khalil, Amir F. Atiya, Samir I. Shaheen
1996	J	`jnl`	Introduction to Financial Forecasting. Appl. Intell. Yaser S. Abu-Mostafa, Amir F. Atiya
1994	J	`jnl`	An accelerated learning algorithm for multilayer perceptron networks. IEEE Trans. Neural Networks Alexander G. Parlos, Benito Fernández, Amir F. Atiya, Jayakumar Muthusami, Wei Kang Tsai
1994	J	`jnl`	Application of the recurrent multilayer perceptron in modeling complex process dynamics. IEEE Trans. Neural Networks Alexander G. Parlos, Kil To Chong, Amir F. Atiya
1994	J	`jnl`	How delays affect neural dynamics and learning. IEEE Trans. Neural Networks Pierre Baldi, Amir F. Atiya
1993	J	`jnl`	An analog feedback associative memory. IEEE Trans. Neural Networks Amir F. Atiya, Yaser S. Abu-Mostafa
1992	J	`jnl`	Recognition of multiunit neural signals. IEEE Trans. Biomed. Eng. Amir F. Atiya
1990	J	`jnl`	An unsupervised learning technique for artificial neural networks. Neural Networks Amir F. Atiya
1989	—	`conf`	A Method for the Associative Storage of Analog Vectors. NIPS Amir F. Atiya, Yaser S. Abu-Mostafa
1989	J	`jnl`	Oscillations and Synchronizations in Neural Networks: an Exploration of the Labeling Hypothesis. Int. J. Neural Syst. Amir F. Atiya, Pierre Baldi
1987	—	`conf`	Learning on a General Network. NIPS Amir F. Atiya
1987	—	`conf`	Optimal Neural Spike Classification. NIPS James M. Bower, Amir F. Atiya
1987	J	`jnl`	The Optimal Linear Feature for the Three-Class Equal-Covariance Gaussian Case. IEEE Trans. Syst. Man Cybern. Amir F. Atiya, Talaat S. El-Sheikh