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Marcelo Luis Errecalde
Marcelo Luis Errecalde
Professor of Computer Science, Universidad Nacional de San Luis
Verified email at unsl.edu.ar - Homepage
Title
Cited by
Cited by
Year
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
1832019
An efficient particle swarm optimization approach to cluster short texts
L Cagnina, M Errecalde, D Ingaramo, P Rosso
Information Sciences 265, 36-49, 2014
752014
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
642012
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
552008
Evacuation simulations using cellular automata
PC Tissera, AM Printista, ML Errecalde
Journal of Computer Science & Technology 7, 2007
512007
UNSL's participation at eRisk 2018 Lab.
DG Funez, MJG Ucelay, MP Villegas, S Burdisso, LC Cagnina, ...
CLEF (Working Notes), 2018
422018
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
372008
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
352017
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
332017
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
322019
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
322017
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
312020
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
292017
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
292010
A parallel implementation of Q-learning based on communication with cache
AM Printista, ML Errecalde, CI Montoya
vol. 1, no. 6, 2002
292002
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
242014
Adaptive clustering with artificial ants
DA Ingaramo, G Leguizamón, M Errecalde
Journal of Computer Science and Technology 5 (04), 264-271, 2005
222005
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
212014
An argumentation-based BDI personal assistant
F Schlesinger, E Ferretti, M Errecalde, G Aguirre
International Conference on Industrial, Engineering and Other Applications …, 2010
192010
Early text classification: a Naïve solution
HJ Escalante, M Montes-y-Gómez, L Villaseñor-Pineda, ML Errecalde
arXiv preprint arXiv:1509.06053, 2015
182015
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Articles 1–20