22 citations · 40 across the 3 of their papers we have counts for
3 papers
What are the best systems? New perspectives on NLP Benchmarking
Pierre Colombo, Nathan Noiry, Ekhine Irurozki +1
In Machine Learning, a benchmark refers to an ensemble of datasets associated with one or multiple metrics together with a way to aggregate different systems performances. They are…
A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions
Guillaume Staerman, Pavlo Mozharovskyi, Pierre Colombo +2
The design of a metric between probability distributions is a longstanding problem motivated by numerous applications in Machine Learning. Focusing on continuous probability distri…
Hierarchical clustering for graph visualization
Stéphan Clémençon, Hector De Arazoza, Fabrice Rossi +1
This paper describes a graph visualization methodology based on hierarchical maximal modularity clustering, with interactive and significant coarsening and refining possibilities.…