Sadia Afroz
Artificial Intelligence · 2011–2014
A researcher in the Science corpus: 4 papers; trusts 42 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it; #13,077 of 35,345 by trust here, #16,471 by citations
- Information Systems — 19 citations into it; #5,549 of 8,771 by trust here, #5,713 by citations
- Signal Processing — 10 citations into it; #5,133 of 7,572 by trust here, #6,836 by citations
- Computer Vision and Pattern Recognition — 9 citations into it; #8,602 of 21,575 by trust here, #12,992 by citations
- Sociology and Political Science — 7 citations into it; #13,718 of 22,756 by trust here, #20,051 by citations
Whom Sadia Afroz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Christopher Evans
- Fabien A. P. Petitcolas
- J. Ross Quinlan
- Li Fei-Fei
- Krystian Mikolajczyk
- David M. Blei
- Josef Sivic
- Anthony Y. Fu
- Cordelia Schmid
Who trusts Sadia Afroz overall
- Xinyi Zhou
- Congzheng Song
- Alessandro Bondielli
- Doyen Sahoo
- Michael Brennan
- Arvind Narayanan
- Vitaly Shmatikov
- Nedim Srndic
- Chenghao Liu
- Francesco Marcelloni
Papers from Sadia Afroz's perspective
Ordered by how strongly the researchers Sadia Afroz trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Detecting Hoaxes, Frauds, and Deception in Writing Style Online (2012) — 326 citations
- Adversarial stylometry: Circumventing authorship recognition to preserve privacy and anonymity (2012) — 228 citations
- PhishZoo: Detecting Phishing Websites by Looking at Them (2011) — 228 citations
- A Critical Evaluation of Website Fingerprinting Attacks (2014) — 366 citations