For the complete list of my publications, see my Google Scholar profile.
Published in Contaduría y Administración, 2026
Gilberto Anzaldo San Vicente, Guillermo Benavides Perales, and Mario Graff Guerrero (2026). Forecasting of the variation of the Banxico reference rate using a text classification model of the monetary policy committee minutes. Contaduría y Administración.
Published in Natural Language Processing Journal, 2025
Mario Graff Guerrero, Daniela Moctezuma, and Eric Sadit Tellez Avila (2025). Bag-of-Word approach is not dead: A performance analysis on a myriad of text classification challenges. Natural Language Processing Journal.
Published in Natural Computing, 2024
Noel Rodriguez Maya, Juan Jose Flores Romero, Sebastien Verel, and Mario Graff Guerrero (2024). Models to classify the difficulty of genetic algorithms to solve continuous optimization problems. Natural Computing.
Published in Pattern Recognition Letters, 2024
Sergio Nava Muñoz, Mario Graff Guerrero, and Hugo Jair Escalante Balderas (2024). Analysis of systems’ performance in natural language processing competitions. Pattern Recognition Letters.
Published in Language Resources and Evaluation, 2023
Eric Sadit Tellez Avila, Daniela Moctezuma, Sabino Miranda, Mario Graff Guerrero, and Guillermo Ruiz (2023). Regionalized models for Spanish language variations based on Twitter. Language Resources and Evaluation.
Published in Evolutionary Computation, 2022
Claudia Sánchez, and Mario Graff Guerrero (2022). Selection Heuristics on Semantic Genetic Programming for Classification Problems. Evolutionary Computation.
Published in Revista Chilena de Derecho, 2022
Jersain Zadamig Llamas Covarrubias, Olivia Andrea Mendoza Enriquez, and Mario Graff Guerrero (2022). ENFOQUES REGULATORIOS PARA LA INTELIGENCIA ARTIFICIAL (IA). Revista Chilena de Derecho.
Published in Computers & Geosciences, 2022
Mario Graff Guerrero, Daniela Moctezuma, Sabino Miranda Jiménez, and Eric Tellez Avila (2022). A Python library for exploratory data analysis on twitter data based on tokens and aggregated origindestination information. Computers & Geosciences.
Published in IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 2020
Mario Graff Guerrero, Sabino Miranda-Jimenez, Eric S. Tellez Avila, and Daniela Moctezuma (2020). EvoMSA: A Multilingual Evolutionary Approach for Sentiment Analysis. IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE.
Published in Knowledge-Based Systems, 2018
Eric Tellez Avila, Daniela Moctezuma, Sabino Miranda Jiménez, and Mario Graff Guerrero (2018). An automated text categorization framework based on hyperparameter optimization. Knowledge-Based Systems.
Published in Natural Computing, 2017
Mario Graff Guerrero, Hugo Jair Escalante, Fernando Ornelas-Tellez, and Eric Tellez Avila (2017). Time series forecasting with genetic programming. Natural Computing.
Published in GENETIC PROGRAMMING AND EVOLVABLE MACHINES, 2017
Jose Maria Valencia-Ramirez, Mario Graff Guerrero, Hugo Jair Escalante, and Jaime Cerda Jacobo (2017). An iterative genetic programming approach to prototype generation. GENETIC PROGRAMMING AND EVOLVABLE MACHINES.
Published in Pattern Recognition Letters, 2017
Eric S. Tellez, Sabino Miranda Jiménez, Mario Graff Guerrero, Daniela Moctezuma, Ranyart R. Suárez, and Oscar S. Sanchez Siordia (2017). A simple approach to multilingual polarity classification in Twitter. Pattern Recognition Letters.
Published in Expert Systems with Applications, 2017
Eric Tellez Avila, Sabino Miranda Jiménez, Mario Graff Guerrero, Daniela Moctezuma, Oscar Sanchez Siordia, and Elio Villaseñor (2017). A case study of Spanish text transformations for twitter sentiment analysis. Expert Systems with Applications.
Published in Renewable Energy, 2014
Mario Graff Guerrero, Rafael Peña, Aurelio Medina, and Hugo Jair Escalante (2014). Wind speed forecasting using a portfolio of forecasters. Renewable Energy.
Published in Neurocomputing, 2013
Mario Graff Guerrero, Hugo Jair Escalante, Jaime Cerda-Jacobo, and Alberto Avalos Gonzalez (2013). Models of performance of time series forecasters. Neurocomputing.
Published in Evolutionary Computation, 2013
Mario Graff Guerrero, Riccardo Poli, and Juan J. Flores (2013). Models of performance of evolutionary program induction algorithms based on indicators of problem difficulty. Evolutionary Computation.
Published in Artificial Intelligence, 2010
Mario Graff Guerrero, and Riccardo Poli (2010). Practical performance models of algorithms in evolutionary program induction and other domains. Artificial Intelligence.