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ORCIDFrancisco Velasquez
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2010 – 2019
- 2017
[j3]Grigori Sidorov, Martín Ibarra Romero, Ilia Markov
, Rafael Guzmán-Cabrera, Liliana Chanona-Hernández, Francisco Velasquez:
Measuring similarity between Karel programs using character and word n-grams. Program. Comput. Softw. 43(1): 47-50 (2017)- 2016
- [j2]Grigori Sidorov, Martín Ibarra Romero, Ilia Markov, Rafael Guzmán-Cabrera, Liliana Chanona-Hernández, Francisco Velasquez:
Automatic Detection of Similarity of Programs in Karel Programming Language based on Natural Language Processing Techniques. Computación y Sistemas 20(2) (2016) - 2015
- [c4]Francisco Novillo, Carlos Valdivieso, Francisco Velasquez:
Centralized channel assignment algorithm for OSA-enabled WLANs based on simulated annealing. LATINCOM 2015: 1-6 - 2014
- [j1]Grigori Sidorov, Francisco Velasquez, Efstathios Stamatatos, Alexander F. Gelbukh, Liliana Chanona-Hernández:
Syntactic N-grams as machine learning features for natural language processing. Expert Syst. Appl. 41(3): 853-860 (2014) - 2013
- [c3]Grigori Sidorov, Francisco Velasquez, Efstathios Stamatatos, Alexander F. Gelbukh, Liliana Chanona-Hernández:
Syntactic Dependency-Based N-grams: More Evidence of Usefulness in Classification. CICLing (1) 2013: 13-24 - 2012
- [c2]Grigori Sidorov, Sabino Miranda-Jiménez, Francisco Viveros Jiménez, Alexander F. Gelbukh, Noé Alejandro Castro-Sánchez, Francisco Velasquez, Ismael Díaz-Rangel, Sergio Suárez Guerra, Alejandro Treviño, Juan Gordon:
Empirical Study of Machine Learning Based Approach for Opinion Mining in Tweets. MICAI (1) 2012: 1-14 - [c1]Grigori Sidorov, Francisco Velasquez, Efstathios Stamatatos, Alexander F. Gelbukh, Liliana Chanona-Hernández:
Syntactic Dependency-Based N-grams as Classification Features. MICAI (2) 2012: 1-11
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