Marcelo Luis Errecalde
Marcelo Luis Errecalde
Professor of Computer Science, Universidad Nacional de San Luis
Verified email at - Homepage
Cited by
Cited by
A text classification framework for simple and effective early depression detection over social media streams
SG Burdisso, M Errecalde, M Montes-y-Gómez
Expert Systems with Applications 133, 182-197, 2019
An efficient particle swarm optimization approach to cluster short texts
L Cagnina, M Errecalde, D Ingaramo, P Rosso
Information Sciences 265, 36-49, 2014
Measuring the quality of web content using factual information
E Lex, M Voelske, M Errecalde, E Ferretti, L Cagnina, C Horn, B Stein, ...
Proceedings of the 2nd joint WICOW/AIRWeb workshop on web quality, 7-10, 2012
Evaluation of internal validity measures in short-text corpora
D Ingaramo, D Pinto, P Rosso, M Errecalde
International Conference on Intelligent Text Processing and Computational …, 2008
Evacuation simulations using cellular automata
PC Tissera, AM Printista, ML Errecalde
Journal of Computer Science & Technology 7, 2007
UNSL's participation at eRisk 2018 Lab.
DG Funez, MJG Ucelay, MP Villegas, S Burdisso, LC Cagnina, ...
CLEF (Working Notes), 2018
A discrete particle swarm optimizer for clustering short-text corpora
LC Cagnina, ML Errecalde, DA Ingaramo, P Rosso
Proc. Bioinspired Optimization Methods and their Applications, BIOMA-2008 …, 2008
UNSL at eRisk 2019: a Unified Approach for Anorexia, Self-harm and Depression Detection in Social Media.
SG Burdisso, M Errecalde, M Montes-y-Gómez
CLEF (Working Notes), 2019
Temporal Variation of Terms as Concept Space for Early Risk Prediction.
ML Errecalde, MP Villegas, DG Funez, MJG Ucelay, LC Cagnina
Clef (working notes), 2017
τ-SS3: A text classifier with dynamic n-grams for early risk detection over text streams
SG Burdisso, M Errecalde, M Montes-y-Gómez
Pattern Recognition Letters 138, 130-137, 2020
Extracción de conocimiento con técnicas de minería de textos aplicadas a la psicología
L Mariñelarena-Dondena, ML Errecalde, A Castro Solano
Revista Argentina de Ciencias del Comportamiento 9 (2), 0-0, 2017
An approach to decision making based on dynamic argumentation systems
E Ferretti, LH Tamargo, AJ García, ML Errecalde, GR Simari
Artificial intelligence 242, 107-131, 2017
LIDIC-UNSL's Participation at eRisk 2017: Pilot Task on Early Detection of Depression.
MP Villegas, DG Funez, MJG Ucelay, LC Cagnina, ML Errecalde
CLEF (Working Notes), 2017
A new AntTree-based algorithm for clustering short-text corpora
ML Errecalde, DA Ingaramo, P Rosso
Journal of Computer Science and Technology 10 (01), 1-7, 2010
A parallel implementation of Q-learning based on communication with cache
AM Printista, ML Errecalde, CI Montoya
vol. 1, no. 6, 2002
A possibilistic defeasible logic programming approach to argumentation-based decision-making
E Ferretti, ML Errecalde, AJ García, GR Simari
Journal of Experimental & Theoretical Artificial Intelligence 26 (4), 519-550, 2014
Adaptive clustering with artificial ants
DA Ingaramo, G Leguizamón, M Errecalde
Journal of Computer Science and Technology 5 (04), 264-271, 2005
On the use of reliable-negatives selection strategies in the pu learning approach for quality flaws prediction in wikipedia
E Ferretti, ML Errecalde, M Anderka, B Stein
2014 25th International Workshop on Database and Expert Systems Applications …, 2014
UNSL at eRisk 2021: A Comparison of Three Early Alert Policies for Early Risk Detection.
JM Loyola, S Burdisso, H Thompson, LC Cagnina, M Errecalde
CLEF (Working Notes), 992-1021, 2021
Early text classification: a Naïve solution
HJ Escalante, M Montes-y-Gómez, L Villaseñor-Pineda, ML Errecalde
arXiv preprint arXiv:1509.06053, 2015
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