John A. Keane

Renewable Energy · 2018–2019

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

Whom John A. Keane trusts

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

1. William W. Cohen (in Statistical Learning Theory)
2. J. Ross Quinlan (in Algorithms & Complexity)

Papers from John A. Keane's perspective

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

1. ImageNet Large Scale Visual Recognition Challenge
2. Efficient Estimation of Word Representations in Vector Space
3. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
4. Latent Dirichlet Allocation
5. Learning representations by back-propagating errors
6. Scikit-learn: Machine Learning in Python
7. A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge.
8. Deep Learning
9. Multilayer feedforward networks are universal approximators
10. C4.5: Programs for Machine Learning

Their papers

• Machine learning methods for wind turbine condition monitoring: A review (2019) — 704 citations
• Deep learning meets ontologies: experiments to anchor the cardiovascular disease ontology in the biomedical literature (2018) — 49 citations