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L. Pion-Tonachini

3 papers hereh-index 103k citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.SP2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20192024
most citedLearning from learning machines: a new generation of AI technology to meet the needs of science

3 citations · 3 across the 2 of their papers we have counts for

collaborators

3 papers

eess.SP2024

Automatic EEG Independent Component Classification Using ICLabel in Python

Arnaud Delorme, Dung Truong, Luca Pion-Tonachini +1

ICLabel is an important plug-in function in EEGLAB, the most widely used software for EEG data processing. A powerful approach to automated processing of EEG data involves decompos…

cs.LG2021★ 3 cited

Learning from learning machines: a new generation of AI technology to meet the needs of science

Luca Pion-Tonachini, Kristofer Bouchard, Hector Garcia Martin +33

We outline emerging opportunities and challenges to enhance the utility of AI for scientific discovery. The distinct goals of AI for industry versus the goals of AI for science cre…

eess.SP2019

ICLabel: An automated electroencephalographic independent component classifier, dataset, and website

Luca Pion-Tonachini, Ken Kreutz-Delgado, Scott Makeig

The electroencephalogram (EEG) provides a non-invasive, minimally restrictive, and relatively low cost measure of mesoscale brain dynamics with high temporal resolution. Although s…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.