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Diego Uribe
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2020 – today
- 2024
- [j7]Diego Uribe, Enrique Cuan, Elisa Urquizo:
The Impact of Training Methods on the Development of Pre-trained Language Models. Computación y Sistemas (CyS) 28(1) (2024) - 2022
- [j6]Diego Uribe, Enrique Cuan:
How Much Deep Is Deep Enough? Computación y Sistemas 26(2) (2022)
2010 – 2019
- 2018
- [j5]Diego Uribe, Enrique Cuan:
Multi-agent Approach to the Two-Second Driving Rule. J. Comput. 13(2): 168-175 (2018) - [j4]Diego Uribe, Enrique Cuan, Salvador Ibarra, Javier Diaz:
Signal Timing Model for Traffic Intersection Control. Res. Comput. Sci. 147(4): 145-158 (2018) - 2017
- [j3]Andrés Cardona
, Leandro Ariza-Jiménez
, Diego Uribe, Johanna C. Arroyave, July Galeano, Fabian M. Cortés-Mancera:
Bio-EdIP: An automatic approach for in vitro cell confluence images quantification. Comput. Methods Programs Biomed. 145: 23-33 (2017) - 2016
- [j2]Diego Uribe, Luis Lugo, Enrique Cuan:
Deep Analysis of a Basic Traffic Model. Res. Comput. Sci. 118: 45-54 (2016) - 2015
- [c5]Diego Uribe:
Text Categorisation by Using Sentiment Composition. FETLT 2015: 86-95 - 2014
- [c4]Diego Uribe:
LSA Based Approach to Domain Detection. MICAI (1) 2014: 62-69 - 2013
- [j1]Diego Uribe, Arturo Urquiz, Enrique Cuan:
Analysis of Asymmetric Measures for Performance Estimation of a Sentiment Classifier. Res. Comput. Sci. 65: 75-83 (2013) - 2012
- [c3]Diego Uribe:
Measuring Feature Distributions in Sentiment Classification. MICAI (2) 2012: 69-80 - 2010
- [c2]Diego Uribe:
Domain Adaptation in Sentiment Classification. ICMLA 2010: 857-860
2000 – 2009
- 2008
- [c1]Diego Uribe:
Textual Entailment Recognition Based on Structural Isomorphism. MICAI 2008: 212-219
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