Subutai Ahmad

Cognitive Neuroscience · 1988–2017

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 18 citations into it; #4,848 of 10,852 by trust here, #10,284 by citations
• Cellular and Molecular Neuroscience — 17 citations into it; #1,214 of 2,998 by trust here, #2,919 by citations
• Artificial Intelligence — 16 citations into it; #11,145 of 35,345 by trust here, #14,718 by citations
• Computer Networks and Communications — 9 citations into it; #2,263 of 9,886 by trust here, #2,852 by citations
• Signal Processing — 8 citations into it
• Neuroscience — 6 citations into it

Whom Subutai Ahmad trusts overall

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

1. Nikolay Pavlovich Laptev
2. Thomas M. Cover
3. Ryan P. Adams
4. Jeff Hawkins
5. Alexander Lavin
6. Eamonn J. Keogh
7. Anukool Lakhina
8. Varun Chandola
9. Lawrence R. Rabiner
10. David E. Rumelhart

Who trusts Subutai Ahmad overall

1. Mohsin Munir
2. Kyle Hundman
3. Sebastian Schmidl
4. Andrew Cook
5. Ane Blázquez-García
6. Iuliia Kotseruba
7. Taskin Kavzoglu
8. Laura Erhan
9. Astha Garg
10. Shoaib Ahmed Siddiqui

Papers from Subutai Ahmad's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Anomaly detection: A survey
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. HOT SAX: efficiently finding the most unusual time series subsequence (Industrial Conference on Data Mining)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Why Neurons Have Thousands of Synapses, a Theory of Sequence Memory in Neocortex (2015) — 436 citations
• Unsupervised real-time anomaly detection for streaming data (2017) — 953 citations
• Evaluating Real-Time Anomaly Detection Algorithms -- The Numenta Anomaly Benchmark (2015) — 507 citations
• Scaling and Generalization in Neural Networks: A Case Study (1988)