Thibault Helleputte

Molecular Biology · 2009–2010

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 15 citations into it; #7,887 of 17,773 by trust here, #12,008 by citations
• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it; #15,296 of 21,575 by trust here, #19,766 by citations

Whom Thibault Helleputte trusts overall

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

1. Isabelle M Guyon
2. Volker Roth
3. Jason Aaron Edward Weston
4. Yvan Saeys
5. Andre´ Elisseeff
6. Ludmila I. Kuncheva
7. Olivier Chapelle
8. Vladimir Naumovich Vapnik
9. Bernhard Schölkopf
10. Thomas G. Dietterich

Who trusts Thibault Helleputte overall

1. Jiaxuan Wang
2. Zengyou He
3. Jeeheh Oh
4. Girish Chandrashekar
5. Romaric Gaudel
6. Jenna Wiens
7. Yun Li
8. Anne-Claire Haury
9. Jun Chin Ang
10. Yue Cao

Papers from Thibault Helleputte's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Robust biomarker identification for cancer diagnosis with ensemble feature selection methods (2010) — 597 citations
• Partially supervised feature selection with regularized linear models (2009) — 39 citations