A. Kusne
Materials Chemistry · 2016–2021
A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 82 citations into it; #4,651 of 11,513 by trust here, #9,037 by citations
- Statistics and Probability — 18 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
Whom A. Kusne trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David D. Lewis
- Radford M. Neal
- H. Sebastian Seung
- Trevor J. Hastie
- Isabelle M Guyon
- Leo Breiman
- Robert Tibshirani
- J. Behler
Who trusts A. Kusne overall
Papers from A. Kusne's perspective
Ordered by how strongly the researchers A. Kusne trusts endorse each paper. Same corpus, a different order for every researcher.
- Scikit-learn: Machine Learning in Python
- Pattern Recognition and Machine Learning
- Query by committee
- A sequential algorithm for training text classifiers
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- An empirical comparison of supervised learning algorithms
- The inorganic crystal structure data base
Their papers
- Machine Learning in Materials Science (2016) — 337 citations
- Autonomous experimentation systems for materials development: A community perspective (2021) — 311 citations
- JARVIS: An Integrated Infrastructure for Data-driven Materials Design (2020) — 371 citations
- Machine learning modeling of superconducting critical temperature (2017) — 446 citations