Marmar Moussa

Nature · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Marmar Moussa trusts overall

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

1. Moses Charikar
2. Sergey Ioffe
3. Chris Fraley
4. Gábor Csárdi
5. Adrian E. Raftery
6. Tamás Nepusz
7. Robert Tibshirani

Who trusts Marmar Moussa overall

1. Michael Heinzinger
2. Ahmed Elnaggar

Papers from Marmar Moussa's perspective

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

1. Similarity estimation techniques from rounding algorithms
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Going deeper with convolutions
7. ImageNet Large Scale Visual Recognition Challenge
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. The igraph software package for complex network research

Their papers

• Single cell RNA-seq data clustering using TF-IDF based methods (2018) — 38 citations
• Comparative cellular analysis of motor cortex in human, marmoset and mouse (2021) — 639 citations