activity
20142023
most citedImproving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)

204 citations · 211 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DL2023★ 4 cited

Are self-citations a normal feature of knowledge accumulation?

Philippe Vincent-Lamarre, Vincent Larivière

Science is a cumulative activity, which can manifest itself through the act of citing. Citations are also central to research evaluation, thus creating incentives for researchers t…

cs.LG2020★ 204 cited

Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)

Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha +5

One of the challenges in machine learning research is to ensure that presented and published results are sound and reliable. Reproducibility, that is obtaining similar results as p…

cs.DL2019

Textual analysis of artificial intelligence manuscripts reveals features associated with peer review outcome

Philippe Vincent-Lamarre, Vincent Larivière

We analysed a dataset of scientific manuscripts that were submitted to various conferences in artificial intelligence. We performed a combination of semantic, lexical and psycholin…

cs.CL2014

The Latent Structure of Dictionaries

Philippe Vincent-Lamarre, Alexandre Blondin Massé, Marcos Lopes +3

How many words (and which ones) are sufficient to define all other words? When dictionaries are analyzed as directed graphs with links from defining words to defined words, they re…

cs.DL2014★ 3 cited

Estimating Open Access Mandate Effectiveness: The MELIBEA Score

Philippe Vincent-Lamarre, Jade Boivin, Yassine Gargouri +2

MELIBEA is a Spanish database that uses a composite formula with eight weighted conditions to estimate the effectiveness of Open Access mandates (registered in ROARMAP). We analyze…