Efrain Rodriguez
Computer Vision and Pattern Recognition · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Efrain Rodriguez trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal (in Computer Vision and Pattern Recognition)
Papers from Efrain Rodriguez's perspective
Ordered by how strongly the researchers Efrain Rodriguez trusts endorse each paper. Same corpus, a different order for every researcher.
- A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials
- Scikit-learn: Machine Learning in Python
- The inorganic crystal structure data base
- Pattern Recognition and Machine Learning
- Superfluidity in topologically nontrivial flat bands (Nature Communications)
- An empirical comparison of supervised learning algorithms
- High-temperature surface superconductivity in topological flat-band systems
- Hole-doped cuprate high temperature superconductors
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition
- High-Dimensional Materials and Process Optimization Using Data-Driven Experimental Design with Well-Calibrated Uncertainty Estimates (Integrating Materials and Manufacturing Innovation)
Their papers
- New frontiers for the materials genome initiative (2019) — 487 citations
- Machine learning modeling of superconducting critical temperature (2017) — 446 citations