A. de Pádua Braga

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom A. de Pádua Braga trusts

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

  1. Marina Meila (in Artificial Intelligence)
  2. Ulrike von Luxburg (in Artificial Intelligence)

Papers from A. de Pádua Braga's perspective

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

  1. Comparing Clusterings by the Variation of Information (Annual Conference Computational Learning Theory)
  2. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
  3. A Random Walks View of Spectral Segmentation
  4. A tutorial on spectral clustering
  5. BIRCH: an efficient data clustering method for very large databases
  6. A parallel way for computing eigenvector sensitivity of asymmetric damped systems with distinct and repeated eigenvalues
  7. Cluster validity methods: part I (SGMD)
  8. Gaussian filters for nonlinear filtering problems (IEEE Transactions on Automatic Control)
  9. Parallel Spectral Clustering in Distributed Systems (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  10. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper

Their papers