| Life history shapes trait heredity by accumulation of loss-of-function alleles in yeast E Zörgö, A Gjuvsland, FA Cubillos, EJ Louis, G Liti, A Blomberg, ... Molecular biology and evolution 29 (7), 1781-1789, 2012 | 60 | 2012 |
| High quality de novo sequencing and assembly of the Saccharomyces arboricolus genome G Liti, ANN Ba, M Blythe, CA Müller, A Bergström, FA Cubillos, ... BMC genomics 14 (1), 69, 2013 | 59 | 2013 |
| Dynamic modelling and simulation of semi-autogenous mills JL Salazar, L Magne, G Acuna, F Cubillos Minerals Engineering 22 (1), 70-77, 2009 | 53 | 2009 |
| Hybrid-neural modeling for particulate solid drying processes FA Cubillos, PI Alvarez, JC Pinto, EL Lima Powder Technology 87 (2), 153-160, 1996 | 46 | 1996 |
| Extensive cis-regulatory variation robust to environmental perturbation in Arabidopsis FA Cubillos, O Stegle, C Grondin, M Canut, S Tisné, I Gy, O Loudet The Plant Cell 26 (11), 4298-4310, 2014 | 43 | 2014 |
| Neural networks and support vector machine models applied to energy consumption optimization in semiautogeneous grinding M Curilem, G Acuña, F Cubillos, E Vyhmeister Chemical Engineering Transactions 25, 761-766, 2011 | 39 | 2011 |
| Self-fertilization is the main sexual reproduction mechanism in native wine yeast populations FA Cubillos, C Vasquez, S Faugeron, A Ganga, C Martínez FEMS microbiology ecology 67 (1), 162-170, 2009 | 36 | 2009 |
| Mapping genetic variants underlying differences in the central nitrogen metabolism in fermenter yeasts M Jara, FA Cubillos, V García, F Salinas, O Aguilera, G Liti, C Martínez PLoS One 9 (1), e86533, 2014 | 33 | 2014 |
| Comparison of methods for training grey-box neural network models G Acuña, F Cubillos, J Thibault, E Latrille Computers & Chemical Engineering 23, S561-S564, 1999 | 32 | 1999 |
| Adaptive hybrid neural models for process control FA Cubillos, EL Lima Computers & chemical engineering 22, S989-S992, 1998 | 29 | 1998 |
| Natural variation in non-coding regions underlying phenotypic diversity in budding yeast F Salinas, CG De Boer, V Abarca, V García, M Cuevas, S Araos, ... Scientific reports 6, 21849, 2016 | 27 | 2016 |
| Mushroom dehydration in a hybrid-solar dryer A Reyes, A Mahn, F Cubillos, P Huenulaf Energy conversion and management 70, 31-39, 2013 | 27 | 2013 |
| Dynamic simulation and control of direct rotary dryers JR Pérez-Correa, F Cubillos, E Zavala, C Shene, PI Álvarez Food Control 9 (4), 195-203, 1998 | 26 | 1998 |
| Drying of carrots in a fluidized bed. II. Design of a model based on a modular neural network approach F Cubillos, A Reyes Drying Technology 21 (7), 1185-1196, 2003 | 24 | 2003 |
| Identification and optimizing control of a rougher flotation circuit using an adaptable hybrid-neural model FA Cubillos, EL Lima Minerals Engineering 10 (7), 707-721, 1997 | 22 | 1997 |
| Model predictive control of semiautogenous mills (sag) JL Salazar, H Valdés-González, E Vyhmesiter, F Cubillos Minerals Engineering 64, 92-96, 2014 | 21 | 2014 |
| A first principles–neural networks approach to model a vibrated fluidized bed dryer: Simulations and experimental results PI Alvarez, R Blasco, J Gomez, FA Cubillos Drying Technology 23 (1-2), 187-203, 2005 | 21 | 2005 |
| Hybrid neural approaches for modelling drying processes for particulate solids JM Mateo, FA Cubillos, PI Alvarez Drying Technology 17 (4-5), 809-823, 1999 | 20 | 1999 |
| Exploiting budding yeast natural variation for industrial processes FA Cubillos Current genetics 62 (4), 745-751, 2016 | 17 | 2016 |
| Rotary dryer control using a grey-box neural model scheme FA Cubillos, E Vyhmeister, G Acuña, PI Alvarez Drying Technology 29 (15), 1820-1827, 2011 | 17 | 2011 |
