| 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 | 223 | 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 | 75 | 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 | 65 | 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 | 56 | 2008 |
| Evacuation simulations using cellular automata PC Tissera, AM Printista, ML Errecalde Journal of Computer Science & Technology 7, 2007 | 54 | 2007 |
| 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 | 43 | 2019 |
| UNSL's participation at eRisk 2018 Lab. DG Funez, MJG Ucelay, MP Villegas, S Burdisso, LC Cagnina, ... CLEF (Working Notes), 2018 | 43 | 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 | 37 | 2008 |
| 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 | 36 | 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 | 35 | 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 | 33 | 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 | 33 | 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 | 30 | 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 | 29 | 2010 |
| A parallel implementation of Q-learning based on communication with cache AM Printista, ML Errecalde, CI Montoya vol. 1, no. 6, 2002 | 29 | 2002 |
| 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 | 26 | 2021 |
| 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 | 24 | 2014 |
| Quality flaw prediction in Spanish Wikipedia: A case of study with verifiability flaws E Ferretti, L Cagnina, V Paiz, S Delle Donne, R Zacagnini, M Errecalde Information Processing & Management 54 (6), 1169-1181, 2018 | 21 | 2018 |
| Adaptive clustering with artificial ants DA Ingaramo, G Leguizamón, M Errecalde Journal of Computer Science and Technology 5 (04), 264-271, 2005 | 21 | 2005 |
| Early text classification: a Naïve solution HJ Escalante, M Montes-y-Gómez, L Villaseñor-Pineda, ML Errecalde arXiv preprint arXiv:1509.06053, 2015 | 20 | 2015 |
