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Arturo Berrones
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2010 – 2019
- 2018
- [j7]Luis Benavides, Mónica Alcalá, F.-Javier Almaguer, Elisa Schaeffer, Arturo Berrones:
Cellular Automaton Model of a Wastewater Treatment Process. J. Cell. Autom. 13(5-6): 407-428 (2018) - 2017
- [j6]Mario A. Saucedo-Espinosa, Hugo Jair Escalante, Arturo Berrones:
Detection of defective embedded bearings by sound analysis: a machine learning approach. J. Intell. Manuf. 28(2): 489-500 (2017) - [c6]Juan Banda, Jonás Velasco, Arturo Berrones:
A hybrid heuristic algorithm based on Mean-Field Theory with a Simple Local Search for the Quadratic Knapsack Problem. CEC 2017: 2559-2565 - 2016
- [j5]Arturo Berrones, Edgar Jiménez, Maria Aracelia Alcorta-Garcia, F.-Javier Almaguer, Brenda Peña:
Parameter inference of general nonlinear dynamical models of gene regulatory networks from small and noisy time series. Neurocomputing 175: 555-563 (2016) - 2014
- [j4]Jonás Velasco, Mario A. Saucedo-Espinosa, Hugo Jair Escalante, Karlo Mendoza, César Emilio Villarreal-Rodríguez, Óscar L. Chacón Mondragón, Arturo Berrones:
Búsqueda aleatoria adaptiva para problemas de optimización global sin restricciones. Computación y Sistemas 18(2) (2014) - [c5]Rosa Liliana Gonzalez Arredondo, Romeo Sanchez, Arturo Berrones:
Introducing Simulated Annealing in Partial Order Planning. MICAI (Special Sessions) 2014: 190-196 - 2013
- [j3]Ada Margarita Alvarez Socarrás, Arturo Berrones, Guillermo J. Moreno Rodríguez, Jesús A. Rodríguez-Sarasty, Mauricio Cabrera-Ríos:
Practice Summary: Enhancing Forecasting and Capacity Planning Capabilities in a Telecommunications Company. Interfaces 43(4): 385-387 (2013) - 2010
- [j2]Arturo Berrones:
Bayesian Inference Based on Stationary Fokker-Planck Sampling. Neural Comput. 22(6): 1573-1596 (2010)
2000 – 2009
- 2009
- [j1]Arturo Berrones:
Characterization of the convergence of stationary Fokker-Planck learning. Neurocomputing 72(16-18): 3602-3608 (2009) - [r1]Arturo Berrones, Dexmont Peña, Ricardo Sánchez:
Stationary Density of Stochastic Search Processes. Encyclopedia of Artificial Intelligence 2009: 1462-1466 - [i3]Arturo Berrones:
Bayesian Inference Based on Stationary Fokker-Planck Sampling. CoRR abs/0901.1144 (2009) - 2008
- [c4]Jonás Velasco, Aydeé López Muñiz, Arturo Berrones:
Learning Probability Densities of Optimization Problems with Constraints and Uncertainty. MICAI 2008: 266-272 - [i2]Arturo Berrones:
Characterization of the convergence of stationary Fokker-Planck learning. CoRR abs/0802.3235 (2008) - 2007
- [c3]Arturo Berrones:
Generating Random Deviates Consistent with the Long Term Behavior of Stochastic Search Processes in Global Optimization. IWANN 2007: 1-7 - [c2]Dexmont Peña, Ricardo Sánchez, Arturo Berrones:
Stationary Fokker - Planck Learning for the Optimization of Parameters in Nonlinear Models. MICAI 2007: 94-104 - [i1]Arturo Berrones:
Stationary probability density of stochastic search processes in global optimization. CoRR abs/0710.3561 (2007) - 2006
- [c1]Arturo Berrones:
Filtering by Sparsely Connected Networks Under the Presence of Strong Additive Noise. ENC 2006: 19-26
Coauthor Index
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