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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
1022019
An efficient particle swarm optimization approach to cluster short texts
L Cagnina, M Errecalde, D Ingaramo, P Rosso
Information Sciences 265, 36-49, 2014
682014
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
582012
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
442007
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
UNSL's participation at eRisk 2018 Lab.
DG Funez, MJG Ucelay, MP Villegas, S Burdisso, LC Cagnina, ...
CLEF (Working Notes), 2018
352018
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
322017
A parallel implementation of Q-learning based on communication with cache
AM Printista, ML Errecalde, CI Montoya
vol. 1, no. 6, 2002
292002
A new AntTree-based algorithm for clustering short-text corpora
ML Errecalde, DA Ingaramo, P Rosso
Journal of Computer Science & Technology 10, 2010
282010
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
262019
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
252017
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
242017
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
212014
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
202017
Adaptive clustering with artificial ants
DA Ingaramo, MG Leguizamón, ML Errecalde
Journal of Computer Science & Technology 5, 2005
202005
An argumentation-based BDI personal assistant
F Schlesinger, E Ferretti, M Errecalde, G Aguirre
International Conference on Industrial, Engineering and Other Applications …, 2010
192010
ITSA ⋆ : An Effective Iterative Method for Short-Text Clustering Tasks
M Errecalde, D Ingaramo, P Rosso
International Conference on Industrial, Engineering and Other Applications …, 2010
182010
An application of defeasible logic programming to decision making in a robotic environment
E Ferretti, M Errecalde, AJ García, GR Simari
International Conference on Logic Programming and Nonmonotonic Reasoning …, 2007
182007
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
172020
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