Opinion mining and emotion recognition applied to learning environments MLB Estrada, RZ Cabada, RO Bustillos, M Graff Expert Systems with Applications 150, 113265, 2020 | 99 | 2020 |
Evolutive design of ARMA and ANN models for time series forecasting JJ Flores, M Graff, H Rodriguez Renewable Energy 44, 225-230, 2012 | 97 | 2012 |
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 | 94 | 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 | 83 | 2018 |
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 | 83 | 2015 |
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 | 69 | 2017 |
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 | 64 | 2009 |
Practical performance models of algorithms in evolutionary program induction and other domains M Graff, R Poli Artificial Intelligence 174 (15), 1254-1276, 2010 | 37 | 2010 |
Gender and language-variety Identification with MicroTC. ES Tellez, S Miranda-Jiménez, M Graff, D Moctezuma CLEF (Working Notes), 24, 2017 | 35 | 2017 |
Near neighbor searching with K nearest references E Chávez, M Graff, G Navarro, ES Téllez Information Systems 51, 43-61, 2015 | 34 | 2015 |
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 (1), 742129, 2014 | 29 | 2014 |
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 | 28 | 2019 |
Semantic genetic programming for sentiment analysis M Graff, ES Tellez, H Jair Escalante, S Miranda-Jiménez NEO 2015: Results of the Numerical and Evolutionary Optimization Workshop …, 2017 | 28 | 2017 |
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 | 28 | 2016 |
Wind speed forecasting using genetic programming M Graff, R Pena, A Medina 2013 IEEE Congress on Evolutionary Computation, 408-415, 2013 | 27 | 2013 |
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 | 26* | 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 | 26 | 2013 |
Evomsa: A multilingual evolutionary approach for sentiment analysis [application notes] M Graff, S Miranda-Jimenez, ES Tellez, D Moctezuma IEEE Computational Intelligence Magazine 15 (1), 76-88, 2020 | 25 | 2020 |
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 | 25 | 2009 |
MOPG: a multi-objective evolutionary algorithm for prototype generation HJ Escalante, M Marin-Castro, A Morales-Reyes, M Graff, ... Pattern Analysis and Applications 20, 33-47, 2017 | 20 | 2017 |