Diego Raphael Amancio
Artificial Intelligence · 2016–2018
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 36 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it
- Signal Processing — 9 citations into it
- Molecular Biology — 7 citations into it
- Statistical and Nonlinear Physics — 6 citations into it
Whom Diego Raphael Amancio trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Diego Raphael Amancio's perspective
Ordered by how strongly the researchers Diego Raphael Amancio trusts endorse each paper. Same corpus, a different order for every researcher.
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Information Theory: 1948-1998 - Guest Editorial
- Extracting and composing robust features with denoising autoencoders
- On Spectral Clustering: Analysis and an algorithm
- Some methods for classification and analysis of multivariate observations
- I and J
- Data clustering: a review
- A and V
- k-means++: the advantages of careful seeding
- In Advances in Neural Information Processing Systems
Their papers
- Principal Component Analysis (2018) — 356 citations
- Clustering algorithms: A comparative approach (2016) — 543 citations