Profesores

-Daniel San Martin and Claudio E. Torres. “A GPU Numerical Implementation of a 2D Simplified Wildfire Spreading Model”. 10th Latin American Conference, CARLA 2023, Cartagena, Colombia, September 18–22, 2023, Revised Selected Papers. https://link.springer.com/chapter/10.1007/978-3-031-52186-7_9.

-José Rivera, Daniel San Martin, Michael Gollner, Claudio E. Torres, Carlos Fernandez-Pello. “A machine learning approach to predict the critical heat flux for ignition of solid fuels”, Fire Safety Journal, Volume 141, 2023, 103968, ISSN 0379-7112. https://doi.org/10.1016/j.fire-saf.2023.103968.

-Sebastián Bórquez, Raquel Pezoa, Luis Salinas, Claudio E. Torres. “Uncertainty estimation in the classification of histopathological images with HER2 overexpression using Monte Carlo Dropout”, Biomedical Signal Processing and Control, Volume 85, 2023, 104864, ISSN 1746-8094. https://doi.org/10.1016/j.bspc.2023.104864.

-San Martín, Daniel, Torres, Claudio E.. “2D Simplified Wildfire Spreading Model in Python: From NumPy to CuPy”, CLEI electronic journal, 25-05-2023. https://doi.org/10.19153/cleiej.26.1.5.

-Pezoa, R., Salinas, R., and Torres, C.. “Explainability of High Energy Physics Events Classification Using SHAP” Journal of Physics: Conference Series 2438, no. 1 (February 1, 2023): 012082. https://doi.org/10.1088/1742-6596/2438/1/012082.

-Casas, F., Torres, C.E. and Araya, I. “A heuristic search based on diversity for solving combinatorial problems”. J Heuristics 28, 287–328 (2022). https://doi.org/10.1007/s10732-022-09494-4

-Tobar, F.M. and Torres, C.E.. “Multi-OctConv: Reducing Memory Requirements in Image Generative Adversarial Networks”. Proceedings - International Conference of the Chilean Computer Science Society, SCCC. Year 2020. Volume 2020-November. https://doi.org/10.1109/sccc51225.2020.9281213.

-León, R., Salinas, L. and Torres, C.E.. “A computational model for multiple collisions of rigid bodies: An extension of A − CD2 method”. Proceedings of the 6th European Conference on Computational Mechanics: Solids, Structures and Coupled Problems, ECCM 2018 and 7th European Conference on Computational Fluid Dynamics, ECFD 2018. Published 2020.

-Salinas, Á., Torres, C., and Ayala, O. (2020). “A fast and efficient integration of boundary conditions into a unified CUDA Kernel for a shallow water solver lattice Boltzmann Method”. Computer Physics Communications, 249(2020), 107009. https://doi.org/10.1016/j.cpc.2019.107009.

-Sazo, A. H. J., Torres, C. E., Emelianenko, M., Golovaty, D. (2019). “A vertex model of recrystallization with stored energy implemented in GPU”. Materials Research Express, 6(5), 055506. https://doi.org/10.1088/2053-1591/ab00f8.

-Sazo, A. H. J., Ibarra S., P., Sanhueza R., A., Casas, F. J. A., Torres, C. E., Emelianenko, M., Golovaty, D. (2019). “Evolution of twodimensional grain boundary networks implemented in GPU”. Computational Materials Science, 160(October 2018), 315–333. https://doi.org/10.1016/j.commatsci.2019.01.022.

-Villanueva, M., Araya, M., Torres, C. E., Amigo, P. (2019). “HDMClouds: a hierarchical decomposition of molecular clouds based on Gaussian mixtures”. Monthly Notices of the Royal Astronomical Society, (482), 2878–2892. http://doi.org/10.1093/mnras/sty2788. (ISI: Impact Factor: 5.194 (2017), 4.893 (5 year), Q1).

-San Martín, D., Torres, C. E. (2018). “Ngen-Kütral: Toward an Open Source Framework for Chilean Wildfire Spreading”. In 2018 37th International Conference of the Chilean Computer Science Society (SCCC) (accepted).

-Fernández, C., Salinas, L., Torres, C. E. (2018). “A meta extreme learning machine method for forecasting financial time series”. Applied Intelligence. http://doi.org/10.1007/s10489-018-1282-3. (ISI: Impact Factor: 1.983 (2017), 1.856 (5 year), Q2).

-Salinas, Á., Torres, C. E., Ayala, O. (2018). Well-balanced open boundary condition in a lattice Boltzmann model for shallow water with arbitrary bathymetry. Computer Physics Communications, 230, 89–98. http://doi.org/10.1016/j.cpc.2018.04.021.. (ISI: Impact Factor: 3.748 (2017), 4.284 (5 year), Q1).

-Sazo, A. H. J., Torres, C. E. (2017). An implicit-transition model for numerical simulation of 3D grain growth. In 2017 36th International Conference of the Chilean Computer Science Society (SCCC) (pp. 1–6). IEEE. ttp://doi.org/10.1109/SCCC.2017.8405148.

-R., A. S., Torres, C. E. (2017). A matrix-free algorithm based on Newton’s method for overdetermined nonlinear system of equations. In 2017 36th International Conference of the Chilean Computer Science Society (SCCC) (pp. 1–9). IEEE. http://doi.org/10.1109/SCCC.2017.8405146.

-Raquel Pezoa, Luis Salinas, Claudio Torres, Steffen Härtel, Cristián Maureira-Fredes and Paola Arce. Segmentation of HER2 protein overexpression in immunohistochemically stained breast cancer images using Support Vector Machines. Journal of Physics: Conference Series, Volume 762, Number 1. 2016.

-I. Yegorov, C. E. Torres, M. Emelianenko A Boltzmann-type kinetic model for misorientation distribution functions in two-dimensional fibertexture polycrystalline grain growth. Acta Materialia, Volume 109, 1 May 2016, Pages 230-247. (ISI, Impact Factor: 4.465).

-Claudio Torres, Maria Emelianenko, Dmitry Golovaty, David Kinderlehrer, Shlomo Ta’asan. Numerical Analysis of the vertex models for simulating grain boundary networks. SIAM J. on Applied Mathematics, 75(2), 762?786. April 2015. (ISI, Impact factor: 1.428).

-R. León, L. Salinas, C. Torres, and G. Hernández A new parallel numerical model for multiple collisions. 1st Panamerican Congress on Computational Mechanics, 2015. Conference.

-Torres, C. E., Parishani, H., Ayala, O., Rossi, L. and Wang, L.-P. Analysis and parallel implementation of a forced N-body problem, Journal of Computational Physics, Volume 245, 15 July 2013, Pages 235-258, ISSN 0021-9991, 10.1016/j.jcp.2013.03.008. (ISI, Impact factor: 2.877, Clasificación: Q1).

-Lian-Ping Wang, Orlando Ayala, Hossein Parishani, Wojciech W Grabowski, Andrzej A Wyszogrodzki, Zbigniew Piotrowski, Guang R Gao, Chandra Kambhamettu, Xiaoming Li, Louis Rossi, Daniel Orozco and Claudio Torres (2011) Towards an integrated multiscale simulation of turbulent clouds on PetaScale computers. J. Phys.: Conf. Ser. 318, 072021 doi:10.1088/1742-6596/318/7/072021. http://dx.doi.org/10.1088/1742-6596/318/7/072021

-Li, K., Torres, C. E. , Thomas, K., Rossi, L., and Shen, C. C. (2011). Slime mold inspired routing protocols for wireless sensor networks. Swarm Intelligence, 5(3-4), 183-223. (ISI, Impact Factor: 2.160).

-Torres, C. E., Rossi, L. F., Keffer, J., Li, K., and Shen, C.-C. (2010). Modeling, analysis and simulation of ant-based network routing protocols. Swarm Intelligence, 4(3), 221-244. (ISI, Impact Factor: 2.160).

-Li, K., Thomas, K., Torres, C., Rossi, L., and Shen, C. C. (2010). Slime mold inspired path formation protocol for wireless sensor networks. Swarm Intelligence, (Saso 2009), 299-311. Springer.

-Torres, C. E., and Barba, L. A. (2009). Fast radial basis function interpolation with Gaussians by localization and iteration. Journal of Computational Physics, 228(14), 4976-4999. (ISI, Impact factor: 2.877).