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researcher

M. Errecalde

3 papers here

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

author position
  • middle author3

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

fields
  • cs.AI1
  • cs.CL1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedAn approach to Decision Making based on Dynamic Argumentation Systems

30 citations · 30 across the 1 of their papers we have counts for

collaborators

3 papers

cs.LG2019

PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AI

Sergio G. Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez

A recently introduced text classifier, called SS3, has obtained state-of-the-art performance on the CLEF's eRisk tasks. SS3 was created to deal with risk detection over text stream…

cs.CL2019

t-SS3: a text classifier with dynamic n-grams for early risk detection over text streams

Sergio G. Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez

A recently introduced classifier, called SS3, has shown to be well suited to deal with early risk detection (ERD) problems on text streams. It obtained state-of-the-art performance…

cs.AI2019★ 30 cited

An approach to Decision Making based on Dynamic Argumentation Systems

Edgardo Ferretti, Luciano H. Tamargo, Alejandro J. Garcia +2

In this paper, we introduce a formalism for single-agent decision making that is based on Dynamic Argumentation Frameworks. The formalism can be used to justify a choice, which is…

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