Tijl De Bie
Molecular Biology · 2004–2019
A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 21 citations into it; #9,181 of 17,773 by trust here, #5,764 by citations
- Artificial Intelligence — 17 citations into it
- Computational Biology & Bioinformatics — 6 citations into it
Whom Tijl De Bie trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Temple F. Smith
- Sean R. Eddy
- Stijn van Dongen
- Vladimir Naumovich Vapni
- Grace Wahba
- Yuhai Wu
- William R. Pearson
- Ian Korf
- Dustin Boswell
- Francis R. Bach
Who trusts Tijl De Bie overall
- Francis R. Bach
- Mehmet Gönen
- Mira V. Han
- Ronny Luss
- Matthieu Muffato
- Javier Herrero
- Roded Sharan
- Yves Moreau
- Hsin-Chien Huang
- Vedrana Vidulin
Papers from Tijl De Bie's perspective
Ordered by how strongly the researchers Tijl De Bie trusts endorse each paper. Same corpus, a different order for every researcher.
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- The Nature of Statistical Learning Theory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Explaining and Harnessing Adversarial Examples
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Identification of common molecular subsequences.
- Basic local alignment search tool.
- Statistical Learning Theory
Their papers
- A statistical framework for genomic data fusion (2004) — 754 citations
- CAFE: a computational tool for the study of gene family evolution (2006) — 1,557 citations
- Estimating the tempo and mode of gene family evolution from comparative genomic data. (2005) — 310 citations
- FACE: Feasible and Actionable Counterfactual Explanations (2019) — 478 citations