Jean-Daniel Zucker

Artificial Intelligence · 2000–2018

A researcher in the Science corpus: 9 papers; trusts 23 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #30,219 of 35,345 by trust here, #34,213 by citations
• Medical & Health AI — 10 citations into it; #187 of 239 by trust here, #236 by citations
• Statistical Learning Theory — 7 citations into it; #534 of 1,038 by trust here, #744 by citations
• Statistics and Probability — 6 citations into it; #11,289 of 12,932 by trust here, #12,077 by citations
• Evaluation & Benchmarks — 5 citations into it

Whom Jean-Daniel Zucker trusts overall

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

1. Prabhakar Raghavan
2. Yann Chevaleyre
3. Vladimir Naumovich Vapni
4. Gerald A. Edgar
5. Cynthia Rudin
6. Berk Ustun
7. Frédéric Koriche
8. Oded Maron
9. Fulton Wang
10. Thomas G. Dietterich

Who trusts Jean-Daniel Zucker overall

1. Zhi-Hua Zhou
2. Berk Ustun
3. James R. Foulds
4. Cynthia Rudin
5. Dan Zhang
6. Jaume Amores
7. Boris Babenko
8. Riccardo Satta
9. Serge Galam
10. Min-Ling Zhang

Papers from Jean-Daniel Zucker's perspective

Ordered by how strongly the researchers Jean-Daniel Zucker trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Nature of Statistical Learning Theory
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Regression Shrinkage and Selection via the Lasso
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Introduction to Support Vector Machines
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Richness of human gut microbiome correlates with metabolic markers (2013) — 4,282 citations
• Dietary intervention impact on gut microbial gene richness (2013) — 1,714 citations
• The fused lasso penalty for learning interpretable medical scoring systems (2017) — 10 citations
• From Individual Choice to Group Decision Making (2000) — 79 citations
• A Provable Algorithm for Learning Interpretable Scoring Systems (2018) — 21 citations
• Experimental analysis of new algorithms for learning ternary classifiers (2015)
• Rounding Methods for Discrete Linear Classification (2013) — 24 citations
• Reduction of macrophage infiltration and chemoattractant gene expression changes in white adipose tissue of morbidly obese subjects after surgery-induced weight loss. (2005) — 1,199 citations
• Solving the Multiple-Instance Problem: A Lazy Learning Approach (2000) — 673 citations