Neamat El Gayar

Artificial Intelligence · 2006–2010

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #14,261 of 35,345 by trust here, #18,186 by citations
• Statistics and Probability — 6 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Neamat El Gayar trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ludmila I. Kuncheva
2. Rong Jin
3. David John Cameron MacKay
4. Zoubin Ghahramani
5. Christopher K. I. Williams
6. Eric R. Ziegel
7. W. Härdle
8. Shree K. Nayar
9. Dana Angluin
10. Ramesh Sharda

Who trusts Neamat El Gayar overall

1. Benoît Frénay
2. Michel Verleysen
3. Weizhong Yan
4. Iis P. Tussyadiah
5. Spyros Makridakis
6. Ilia Sucholutsky
7. Bryan Lim
8. A. Navon

Papers from Neamat El Gayar's perspective

Ordered by how strongly the researchers Neamat El Gayar trusts endorse each paper. Same corpus, a different order for every researcher.

1. Neural Networks for Pattern Recognition
2. The Elements of Statistical Learning
3. ImageNet classification with deep convolutional neural networks
4. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
5. A Practical Bayesian Framework for Backpropagation Networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Pattern Classification
8. Learning Multiple Layers of Features from Tiny Images
9. Advances in kernel methods: support vector learning
10. Bayesian Interpolation

Their papers

• A Study of the Robustness of KNN Classifiers Trained Using Soft Labels (2006) — 89 citations
• An Empirical Comparison of Machine Learning Models for Time Series Forecasting (2010) — 764 citations