Mario Graff
Mario Graff
CONACYT - INFOTEC Centro de Investigación e Innovación en Tecnologías de la
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Cited by
Cited by
Evolutive design of ARMA and ANN models for time series forecasting
JJ Flores, M Graff, H Rodriguez
Renewable Energy 44, 225-230, 2012
Term-Weighting Learning via Genetic Programming for Text Classification
HJ Escalante, MA García-Limón, A Morales-Reyes, M Graff, ...
Knowledge-Based Systems 85, 176–189, 2015
A case study of Spanish text transformations for twitter sentiment analysis
ES Tellez, S Miranda-Jiménez, M Graff, D Moctezuma, OS Siordia, ...
Expert Systems with Applications 81, 457-471, 2017
An automated text categorization framework based on hyperparameter optimization
ES Tellez, D Moctezuma, S Miranda-Jiménez, M Graff
Knowledge-Based Systems 149, 110-123, 2018
There is a free lunch for hyper-heuristics, genetic programming and computer scientists
R Poli, M Graff
European conference on genetic programming, 195-207, 2009
A simple approach to multilingual polarity classification in Twitter
ES Tellez, S Miranda-Jiménez, M Graff, D Moctezuma, RR Suárez, ...
Pattern Recognition Letters 94, 68-74, 2017
Opinion mining and emotion recognition applied to learning environments
MLB Estrada, RZ Cabada, RO Bustillos, M Graff
Expert Systems with Applications 150, 113265, 2020
Practical performance models of algorithms in evolutionary program induction and other domains
M Graff, R Poli
Artificial Intelligence 174 (15), 1254-1276, 2010
Near neighbor searching with K nearest references
E Chávez, M Graff, G Navarro, ES Téllez
Information Systems 51, 43-61, 2015
Gender and language-variety Identification with MicroTC.
ES Tellez, S Miranda-Jiménez, M Graff, D Moctezuma
CLEF (Working Notes), 2017
Semantic genetic programming for sentiment analysis
M Graff, ES Tellez, H Jair Escalante, S Miranda-Jiménez
NEO 2015, 43-65, 2017
Wind speed forecasting using genetic programming
M Graff, R Pena, A Medina
2013 IEEE Congress on Evolutionary Computation, 408-415, 2013
Free lunches for function and program induction
R Poli, M Graff, NF McPhee
Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic …, 2009
EvoDAG: A Semantic Genetic Programming Python Library
M Graff, ES Tellez, S Miranda-Jiménez, HJ Escalante
2016 IEEE International Autumn Meeting on Power, Electronics and Computing …, 2016
Predicting concrete compressive strength and modulus of rupture using different NDT techniques
W Martínez-Molina, AA Torres-Acosta, JC Jáuregui, HL Chávez-García, ...
Advances in Materials Science and Engineering 2014, 2014
INGEOTEC at MEX-A3T: Author Profiling and Aggressiveness Analysis in Twitter Using μTC and EvoMSA.
M Graff, S Miranda-Jiménez, ES Tellez, D Moctezuma, V Salgado, ...
IberEval@ SEPLN, 128-133, 2018
Models of performance of time series forecasters
M Graff, HJ Escalante, J Cerda-Jacobo, AA Gonzalez
Neurocomputing 122, 375-385, 2013
Overview of TASS 2019: One More Further for the Global Spanish Sentiment Analysis Corpus.
MC Díaz-Galiano, MG Vega, E Casasola, L Chiruzzo, MÁG Cumbreras, ...
IberLEF@ SEPLN, 550-560, 2019
Gender identification through multi-modal tweet analysis using microtc and bag of visual words
ES Tellez, S Miranda-Jiménez, D Moctezuma, M Graff, V Salgado, ...
Proceedings of the Ninth International Conference of the CLEF Association …, 2018
A comparison between LARS and LASSO for initialising the time-series forecasting auto-regressive equations
E Iturbide, J Cerda, M Graff
Procedia Technology 7, 282-288, 2013
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