Sergio Burdisso

According to our database, Sergio Burdisso authored at least 12 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews.

Sergio Burdisso, Esaú Villatoro-Tello, Srikanth R. Madikeri, Petr Motlícek

CoRR, 2023

2022

UNSL at eRisk 2022: Decision policies with history for early classification.

Juan Martín Loyola, Horacio Thompson, Sergio Burdisso, Marcelo Errecalde

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

IDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model.

Martin Fajcik, Muskaan Singh, Juan Zuluaga-Gomez, Esaú Villatoro-Tello, Sergio Burdisso, Petr Motlícek, Pavel Smrz

Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2022

IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach.

Sergio Burdisso, Juan Zuluaga-Gomez, Esaú Villatoro-Tello, Martin Fajcik, Muskaan Singh, Pavel Smrz, Petr Motlícek

Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2022

2021

Using Text Classification to Estimate the Depression Level of Reddit Users.

Sergio Gastón Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez

J. Comput. Sci. Technol., 2021

UNSL at eRisk 2021: A Comparison of Three Early Alert Policies for Early Risk Detection.

Juan Martín Loyola, Sergio Burdisso, Horacio Thompson, Leticia C. Cagnina, Marcelo Errecalde

Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2020

<i>τ</i>-SS3: A text classifier with dynamic n-grams for early risk detection over text streams.

Sergio Gastón Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez

Pattern Recognit. Lett., 2020

2019

A text classification framework for simple and effective early depression detection over social media streams.

Sergio Gastón Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez

Expert Syst. Appl., 2019

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

Sergio Gastón Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez

CoRR, 2019

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

Sergio Gastón Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez

CoRR, 2019

UNSL at eRisk 2019: a Unified Approach for Anorexia, Self-harm and Depression Detection in Social Media.

Sergio Gastón Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez

Proceedings of the Working Notes of CLEF 2019, 2019

2018

UNSL's participation at eRisk 2018 Lab.

Dario G. Funez, Maria José Garciarena Ucelay, Maria Paula Villegas, Sergio Burdisso, Leticia C. Cagnina, Manuel Montes-y-Gómez, Marcelo Errecalde

Proceedings of the Working Notes of CLEF 2018, 2018