Madalina Fiterau

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 55 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it; #14,311 of 35,345 by trust here, #11,750 by citations
• Computer Vision and Pattern Recognition — 44 citations into it; #9,265 of 21,575 by trust here, #8,502 by citations
• Model Architectures — 11 citations into it; #1,038 of 2,278 by trust here, #1,182 by citations
• Optimization & Training — 9 citations into it
• Statistics and Probability — 9 citations into it

Whom Madalina Fiterau trusts overall

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

1. Yann LeCun
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Kaiming He
5. Andrea Vedaldi
6. Ross B. Girshick
7. Andrew Zisserman
8. Yoshua Bengio
9. Ilya Sutskever
10. Martin A. Riedmiller

Who trusts Madalina Fiterau overall

1. Stephan Alaniz
2. Emir Demirovi'c
3. Mei Wang
4. Mason McGill
5. Anirban Roy
6. Yongxin Yang
7. Valentina Zantedeschi
8. Thomas M. Hehn
9. Bin-Bin Yang
10. Zeynep Akata

Papers from Madalina Fiterau's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet Large Scale Visual Recognition Challenge
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet: A large-scale hierarchical image database

Their papers

• Deep Neural Decision Forests (2015) — 557 citations
• Weakly supervised classification of rare aortic valve malformations using unlabeled cardiac MRI sequences (2018) — 20 citations
• Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities (2018) — 428 citations