Mario Graff Guerrero

2017

• [C1]Selecting crackling product based on sensory analysis by different statistical data approaches
  Conferencia · 2017 IEEE International Autumn Meeting on Power Electronics and Computing Ropec 2017 · 2017 · Vol. 2017-January
  Sánchez-Gutiérrez G.; Domínguez-Soberanes J.; Rodríguez-Serrano G.; Escalona-Buendía H.; Sánchez C.N.; Gutiérrez S.; Graff M.
  DOIhttps://doi.org/10.1109%2Fropec.2017.8261639
• [C2]Semantic genetic operators based on a selection mechanism tailored for the root function
  Conferencia · 2017 IEEE International Autumn Meeting on Power Electronics and Computing Ropec 2017 · 2017 · Vol. 2018-January · pp. 1-6
  Sanchez C.N.; Graff M.
  DOIhttps://doi.org/10.1109%2FROPEC.2017.8261638
• [A1]An iterative genetic programming approach to prototype generation
  Artículo · Genetic Programming and Evolvable Machines · 2017 · Vol. 18 · Núm. 2 · pp. 123-147
  Valencia-Ramírez J.M.; Graff M.; Escalante H.J.; Cerda-Jacobo J.
  DOIhttps://doi.org/10.1007%2Fs10710-016-9279-3
• [C3]EvoDAG: A semantic Genetic Programming Python library
  Conferencia · 2016 IEEE International Autumn Meeting on Power Electronics and Computing Ropec 2016 · 2017 · Citas: 27
  Graff M.; Tellez E.S.; Miranda-Jiménez S.; Escalante H.J.
  DOIhttps://doi.org/10.1109%2FROPEC.2016.7830633
• [A2]Time series forecasting with genetic programming
  Artículo · Natural Computing · 2017 · Vol. 16 · Núm. 1 · pp. 165-174 · Citas: 18
  Graff M.; Escalante H.J.; Ornelas-Tellez F.; Tellez E.S.
  DOIhttps://doi.org/10.1007%2Fs11047-015-9536-z
• [C4]Gender and language-variety identification with MicroTC: Notebook for PAN at CLEF 2017
  Conferencia · Ceur Workshop Proceedings · 2017 · Vol. 1866 · Citas: 8
  Tellez E.S.; Miranda-Jiménez S.; Graff M.; Moctezuma D.
• [A3]Semantic genetic programming for sentiment analysis
  Artículo · Studies in Computational Intelligence · 2017 · Vol. 663 · pp. 43-65 · Citas: 22
  Graff M.; Tellez E.S.; Escalante H.J.; Miranda-Jiménez S.
  DOIhttps://doi.org/10.1007%2F978-3-319-44003-3_2
• [C5]INGEOTEC at SemEval 2017 Task 4: A B4MSA Ensemble based on Genetic Programming for Twitter Sentiment Analysis
  Conferencia · Proceedings of the Annual Meeting of the Association for Computational Linguistics · 2017 · pp. 771-776 · Citas: 12
  Miranda-Jiménez S.; Graff M.; Tellez E.S.; Moctezuma D.
  DOIhttps://doi.org/10.18653%2Fv1%2FS17-2130

2016

• [C6]Limitations of genetic programming applied to incipient fault detection: SFRA as example
  Conferencia · Proceedings 2015 International Conference on Computational Science and Computational Intelligence Csci 2015 · 2016 · pp. 498-503
  Cerda J.; Avalos A.; Graff M.
  DOIhttps://doi.org/10.1109%2FCSCI.2015.168
• [A4]PGGP: Prototype Generation via Genetic Programming
  Artículo · Applied Soft Computing Journal · 2016 · Vol. 40 · pp. 569-580 · Citas: 16
  Escalante H.J.; Graff M.; Morales-Reyes A.
  DOIhttps://doi.org/10.1016%2Fj.asoc.2015.12.015
• [C7]Multi-class multi-tag classifier system for StackOverflow questions
  Conferencia · 2015 IEEE International Autumn Meeting on Power Electronics and Computing Ropec 2015 · 2016 · Citas: 16
  González J.R.C.; Romero J.J.F.; Guerrero M.G.; Calderon F.
  DOIhttps://doi.org/10.1109%2FROPEC.2015.7395121
• [C8]Memetic Genetic Programming based on orthogonal projections in the phenotype space
  Conferencia · 2015 IEEE International Autumn Meeting on Power Electronics and Computing Ropec 2015 · 2016 · Citas: 3
  Graff M.; Tellez E.S.; Escalante H.J.; Ortiz-Bejar J.
  DOIhttps://doi.org/10.1109%2FROPEC.2015.7395160
• [C9]On the performance of B4MSA on SENTIPOLC'16
  Conferencia · Ceur Workshop Proceedings · 2016 · Vol. 1749
  Moctezuma D.; Tellez E.S.; Graff M.; Miranda-Jiménez S.
• [C10]Predicting the rcga performance for the university course timetabling problem
  Conferencia · Communications in Computer and Information Science · 2016 · Vol. 597 · pp. 31-45 · Citas: 3
  Rodriguez-Maya N.; Flores J.J.; Graff M.
  DOIhttps://doi.org/10.1007%2F978-3-319-30447-2_3
• [E1]Editorial
  Editorial · Computacion Y Sistemas · 2016 · Vol. 20 · Núm. 4 · pp. 561-563
  Escalante H.; Graff M.
  DOIhttps://doi.org/10.13053%2FCyS-20-4-2525

2015

• [C11]Solving a scholar timetabling problem using a genetic algorithm - Study case: Instituto Tecnologico de Zitacuaro
  Conferencia · Proceedings of Special Session 2014 13th Mexican International Conference on Artificial Intelligence Advances in Artificial Intelligence Micai 2014 · 2015 · pp. 197-202 · Citas: 2
  Rodriguez N.; Martinez J.; Flores J.J.; Graff M.
  DOIhttps://doi.org/10.1109%2FMICAI.2014.36
• [A5]Near neighbor searching with K nearest references
  Artículo · Information Systems · 2015 · Vol. 51 · pp. 43-61 · Citas: 26
  Chávez E.; Graff M.; Navarro G.; Téllez E.S.
  DOIhttps://doi.org/10.1016%2Fj.is.2015.02.001
• [C12]Finding near neighbors through local search
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2015 · Vol. 9371 · pp. 103-109 · Citas: 4
  Ruiz G.; Chávez E.; Graff M.; Téllez E.
  DOIhttps://doi.org/10.1007%2F978-3-319-25087-8_10

2014

• [C13]Comparison between Genetic Programming and full model selection on classification problems
  Conferencia · 2014 IEEE International Autumn Meeting on Power Electronics and Computing Ropec 2014 · 2014 · Citas: 5
  Valencia-Ramirez J.; Raya J.; Cedeno J.; Suarez R.; Escalante H.; Graff M.
  DOIhttps://doi.org/10.1109%2FROPEC.2014.7036349
• [C14]Genetic Programming: Semantic point mutation operator based on the partial derivative error
  Conferencia · 2014 IEEE International Autumn Meeting on Power Electronics and Computing Ropec 2014 · 2014 · Citas: 1
  Graff M.; Flores J.J.; Bejar J.O.
  DOIhttps://doi.org/10.1109%2FROPEC.2014.7036344
• [C15]Genetic programming as a feature selection algorithm
  Conferencia · 2014 IEEE International Autumn Meeting on Power Electronics and Computing Ropec 2014 · 2014 · Citas: 7
  Suarez R.R.; Valencia-Ramirez J.M.; Graff M.
  DOIhttps://doi.org/10.1109%2FROPEC.2014.7036345
• [A6]Predicting concrete compressive strength and modulus of rupture using different NDT techniques
  Artículo · Advances in Materials Science and Engineering · 2014 · Vol. 2014 · Citas: 22
  Martínez-Molina W.; Torres-Acosta A.A.; Jáuregui J.C.; Chávez-García H.L.; Alonso-Guzmán E.M.; Graff M.; Arteaga-Arcos J.C.
  DOIhttps://doi.org/10.1155%2F2014%2F742129
• [A7]Prediction of the static modulus of elasticity using four non destructive testing
  Artículo · Revista De La Construccion · 2014 · Vol. 13 · Núm. 1 · pp. 33-40 · Citas: 7
  Chávez-García H.L.; Alonso-Guzmán E.M.; Martínez-Molina W.; Graff M.; Arteaga-Arcos J.C.
  DOIhttps://doi.org/10.4067%2Fs0718-915x2014000100004
• [A8]Wind speed forecasting using a portfolio of forecasters
  Artículo · Renewable Energy · 2014 · Vol. 68 · pp. 550-559 · Citas: 16
  Graff M.; Peña R.; Medina A.; Escalante H.J.
  DOIhttps://doi.org/10.1016%2Fj.renene.2014.02.041
• [C16]PSO optimal tracking control for state-dependent coefficient nonlinear systems
  Conferencia · Studies in Fuzziness and Soft Computing · 2014 · Vol. 312 · pp. 403-410 · Citas: 6
  Ornelas-Tellez F.; Graff M.; Sanchez E.N.; Alanis A.Y.
  DOIhttps://doi.org/10.1007%2F978-3-319-03674-8_38
• [C17]Semantic crossover based on the partial derivative error
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2014 · Vol. 8599 · pp. 37-47 · Citas: 6
  Graff M.; Graff-Guerrero A.; Cerda-Jacobo J.
  DOIhttps://doi.org/10.1007%2F978-3-662-44303-3_4
• [C18]k-Nearest-Neighbor by differential evolution for time series forecasting
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2014 · Vol. 8857 · pp. 50-60 · Citas: 10
  De La Vega E.; Flores J.J.; Graff M.
  DOIhttps://doi.org/10.1007%2F978-3-319-13650-9_5
• [O1]A graph-based model for quadratic separable programs and its decentralization
  ch · Transactions on Engineering Technologies Special Issue of the World Congress on Engineering and Computer Science 2013 · 2014 · pp. 229-245
  Cerda J.; Avalos A.; Graff M.
  DOIhttps://doi.org/10.1007%2F978-94-017-9115-1_18
• [C19]Performance classification of Genetic algorithms on continuous optimization problems
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2014 · Vol. 8857 · pp. 1-12 · Citas: 4
  Rodriguez-Maya N.E.; Graff M.; Flores J.J.
  DOIhttps://doi.org/10.1007%2F978-3-319-13650-9_1
• [C20]Tree structured symmetrical systems of linear equations and their graphical solution
  Conferencia · Lecture Notes in Engineering and Computer Science · 2014 · Vol. 1 · pp. 152-157
  Cerda J.; Graff M.

2013

• [A9]Models of performance of time series forecasters
  Artículo · Neurocomputing · 2013 · Vol. 122 · pp. 375-385 · Citas: 13
  Graff M.; Escalante H.J.; Cerda-Jacobo J.; Avalos Gonzalez A.
  DOIhttps://doi.org/10.1016%2Fj.neucom.2013.05.035
• [C21]A fitness case strategy in genetic programming to improve system identification
  Conferencia · 2013 IEEE International Autumn Meeting on Power Electronics and Computing Ropec 2013 · 2013 · Citas: 1
  Pacheco M.A.; Graff M.; Cerda J.
  DOIhttps://doi.org/10.1109%2FROPEC.2013.6702728
• [C22]Modeling ANNs performance on time series forecasting
  Conferencia · 2013 IEEE International Autumn Meeting on Power Electronics and Computing Ropec 2013 · 2013 · Citas: 5
  Suarez R.; Graff M.
  DOIhttps://doi.org/10.1109%2FROPEC.2013.6702736
• [A10]Models of performance of evolutionary program induction algorithms based on indicators of problem difficulty
  Artículo · Evolutionary Computation · 2013 · Vol. 21 · Núm. 4 · pp. 533-560 · Citas: 8
  Graff M.; Poli R.; Flores J.J.
  DOIhttps://doi.org/10.1162%2FEVCO_a_00096
• [C23]Genetic programming of prototypes for pattern classification
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2013 · Vol. 7887 LNCS · pp. 100-107 · Citas: 6
  Escalante H.; Mendoza K.; Graff M.; Morales-Reyes A.
  DOIhttps://doi.org/10.1007%2F978-3-642-38628-2_11
• [C24]Wind speed forecasting using genetic programming
  Conferencia · 2013 IEEE Congress on Evolutionary Computation CEC 2013 · 2013 · pp. 408-415 · Citas: 24
  Graff M.; Pena R.; Medina A.
  DOIhttps://doi.org/10.1109%2FCEC.2013.6557598
• [C25]Optimal reconfiguration of radial distribution networks for reducing voltage sags
  Conferencia · 2013 10th International Conference on Electrical Engineering Computing Science and Automatic Control Cce 2013 · 2013 · pp. 280-285 · Citas: 2
  Tapia-Juarez R.; Espinosa-Juarez E.; Graff M.
  DOIhttps://doi.org/10.1109%2FICEEE.2013.6676027
• [C26]A graph-based decentralization proposal for convex non linear separable problems with linear constraints
  Conferencia · Lecture Notes in Engineering and Computer Science · 2013 · Vol. 1 · pp. 41-45 · Citas: 1
  Cerda J.; Graff M.

2012

• [A11]Evolutive design of ARMA and ANN models for time series forecasting
  Artículo · Renewable Energy · 2012 · Vol. 44 · pp. 225-230 · Citas: 74
  Flores J.; Graff M.; Rodriguez H.
  DOIhttps://doi.org/10.1016%2Fj.renene.2012.01.084
• [C27]Isodensity map generation by lightning detection
  Conferencia · Lecture Notes in Engineering and Computer Science · 2012 · Vol. 2 · pp. 1055-1059
  Sandoval U.F.; Avalos J.A.; Graff M.; Guzmán A.

2011

• [C28]Scalable pattern search analysis
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2011 · Vol. 6718 LNCS · pp. 75-84 · Citas: 3
  Tellez E.; Chavez E.; Graff M.
  DOIhttps://doi.org/10.1007%2F978-3-642-21587-2_9
• [C29]Performance models for evolutionary program induction algorithms based on problem difficulty indicators
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2011 · Vol. 6621 LNCS · pp. 118-129 · Citas: 4
  Graff M.; Poli R.
  DOIhttps://doi.org/10.1007%2F978-3-642-20407-4_11

2010

• [C30]Reducing the search space in evolutive design of ARIMA and ANN models for time series prediction
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2010 · Vol. 6438 LNAI · Núm. PART 2 · pp. 325-336 · Citas: 6
  Flores J.J.; Rodriguez H.; Graff M.
  DOIhttps://doi.org/10.1007%2F978-3-642-16773-7_28
• [A12]Practical performance models of algorithms in evolutionary program induction and other domains
  Artículo · Artificial Intelligence · 2010 · Vol. 174 · Núm. 15 · pp. 1254-1276 · Citas: 25
  Graff M.; Poli R.
  DOIhttps://doi.org/10.1016%2Fj.artint.2010.07.005

2009

• [C31]Free lunches for neural network search
  Conferencia · Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference Gecco 2009 · 2009 · pp. 1291-1298 · Citas: 3
  Poli R.; Graff M.
  DOIhttps://doi.org/10.1145%2F1569901.1570074
• [C32]Free lunches for function and program induction
  Conferencia · Proceedings of the 10th ACM Sigevo Workshop on Foundations of Genetic Algorithms Foga 09 · 2009 · pp. 183-194 · Citas: 18
  Poli R.; Graff M.; McPhee N.F.
  DOIhttps://doi.org/10.1145%2F1527125.1527148
• [C33]Automatic creation of taxonomies of genetic programming systems
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2009 · Vol. 5481 LNCS · pp. 145-158 · Citas: 2
  Graff M.; Poli R.
  DOIhttps://doi.org/10.1007%2F978-3-642-01181-8_13
• [C34]There is a free lunch for hyper-Heuristics, genetic programming and computer scientists
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2009 · Vol. 5481 LNCS · pp. 195-207 · Citas: 40
  Poli R.; Graff M.
  DOIhttps://doi.org/10.1007%2F978-3-642-01181-8_17

2008

• [C35]Practical model of genetic programming's performance on rational symbolic regression problems
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2008 · Vol. 4971 LNCS · pp. 122-133 · Citas: 8
  Graff M.; Poli R.
  DOIhttps://doi.org/10.1007%2F978-3-540-78671-9_11

2007

• [C36]Linear selection
  Conferencia · 2007 IEEE Congress on Evolutionary Computation CEC 2007 · 2007 · pp. 2598-2605 · Citas: 2
  Graff M.; Poli R.; Moraglio A.
  DOIhttps://doi.org/10.1109%2FCEC.2007.4424798