Lars Buitinck

GETMBL · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Lars Buitinck trusts overall

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

1. Kilian Q. Weinberger
2. Rong-En Fan
3. Chih-Jen Lin

Who trusts Lars Buitinck overall

1. Niels Bantilan
2. Leland McInnes
3. Yi Zhu
4. Jean Kossaifi
5. Yue Zhao
6. Osbert Bastani
7. Vincent F. Taylor
8. Sergio Ramírez-Gallego
9. Noseong Park
10. Doyup Lee

Papers from Lars Buitinck's perspective

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

1. LIBLINEAR: A Library for Large Linear Classification
2. Feature hashing for large scale multitask learning
3. The WEKA data mining software: an update
4. R: A language and environment for statistical computing.
5. Cyberterrorism?
6. ImageNet classification with deep convolutional neural networks
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Gradient-based learning applied to document recognition
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• Scikit-learn: Machine Learning Without Learning the Machinery (2015) — 507 citations
• Independent consultant (2013)