Johan Paratte

Artificial Intelligence · 2014

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

Subfields

• Artificial Intelligence — 6 citations into it; #33,667 of 35,345 by trust here, #26,682 by citations
• Computational Theory and Mathematics — 6 citations into it
• Graph Learning — 5 citations into it

Whom Johan Paratte trusts overall

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

1. David I. Shuman
2. Marius Muja
3. Pierre Vandergheynst

Who trusts Johan Paratte overall

1. Nathanael Perraudin

Papers from Johan Paratte's perspective

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

1. Wavelets on Graphs via Spectral Graph Theory
2. Influence of cultivation temperature on the ligninolytic activity of selected fungal strains
3. The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
4. Graph spectral image smoothing using the heat kernel
5. Vertex-Frequency Analysis on Graphs
6. Learning from labeled and unlabeled data on a directed graph (International Conference on Machine Learning)
7. Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
8. Sampling from large matrices: An approach through geometric functional analysis (JACM)
9. Accelerated filtering on graphs using Lanczos method
10. Learning with Local and Global Consistency

Their papers

• GSPBOX: A toolbox for signal processing on graphs (2014) — 354 citations