| |
Author  |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
|
Araya-Diaz, P.; Ruz, G.A.; Palomino, H.M. |
Discovering Craniofacial Patterns Using Multivariate Cephalometric Data for Treatment Decision Making in Orthodontics |
2013 |
International Journal Of Morphology |
31 |
1109-1115 |
|
|
|
Canals, C.; Goles, E.; Mascareno, A.; Rica, S.; Ruz, G.A. |
School Choice in a Market Environment: Individual versus Social Expectations |
2018 |
Complexity |
3793095 |
11 pp |
|
|
|
Cho, A.D.; Carrasco, R.A.; Ruz, G.A. |
Improving Prescriptive Maintenance by Incorporating Post-Prognostic Information Through Chance Constraints |
2022 |
IEEE Access |
10 |
55924-55932 |
|
|
|
Cho, A.D.; Carrasco, R.A.; Ruz, G.A.; Ortiz, J.L. |
Slow Degradation Fault Detection in a Harsh Environment |
2020 |
IEEE Access |
8 |
175904-175920 |
|
|
|
Cordero, R.; Mascareno, A.; Henriquez, P.A.; Ruz, G.A. |
Drawing constitutional boundaries: A digital historical analysis of the writing process of Pinochet's 1980 authoritarian constitution |
2022 |
Historical Methods |
Early Access |
|
|
|
|
de la Cruz, R.; Padilla, O.; Valle, MA.; Ruz, G.A. |
Modeling Recidivism through Bayesian Regression Models and Deep Neural Networks |
2021 |
Mathematics |
9 |
639 |
|
|
|
Di Genova, A.; Ruz, G.A.; Sagot, M.F.; Maass, A. |
Fast-SG: an alignment-free algorithm for hybrid assembly |
2018 |
Gigascience |
7 |
15 pp |
|
|
|
Goles, E.; Lobos, F.; Ruz, G.A.; Sene, S. |
Attractor landscapes in Boolean networks with firing memory: a theoretical study applied to genetic networks |
2020 |
Natural Computing |
19 |
295-319 |
|
|
|
Goles, E.; Montalva, M.; Ruz, G.A. |
Deconstruction and Dynamical Robustness of Regulatory Networks: Application to the Yeast Cell Cycle Networks |
2013 |
Bulletin Of Mathematical Biology |
75 |
939-966 |
|
|
|
Goles, E.; Ruz, G.A. |
Dynamics of neural networks over undirected graphs |
2015 |
Neural Networks |
63 |
156-169 |
|
|
|
Gregor, C.; Ashlock, D.; Ruz, G.A.; MacKinnon, D.; Kribs, D. |
A novel linear representation for evolving matrices |
2022 |
Soft Computing |
Early Access |
|
|
|
|
Henriquez, P.A.; Ruz, G.A. |
Noise reduction for near-infrared spectroscopy data using extreme learning machines |
2019 |
Engineering Applications Of Artificial Intelligence |
79 |
13-22 |
|
|
|
Henriquez, P.A.; Ruz, G.A. |
Twitter Sentiment Classification Based on Deep Random Vector Functional Link |
2018 |
2018 International Joint Conference on Neural Networks (IJCNN) |
|
|
|
|
|
Henriquez, P.A.; Ruz, G.A. |
A non-iterative method for pruning hidden neurons in neural networks with random weights |
2018 |
Applied Soft Computing |
70 |
1109-1121 |
|
|
|
Henriquez, P.A.; Ruz, G.A. |
Extreme learning machine with a deterministic assignment of hidden weights in two parallel layers |
2017 |
Neurocomputing |
226 |
109-116 |
|
|
|
Mascareno, A.; Cordero, R.; Azocar, G.; Billi, M.; Henriquez, P.A.; Ruz, G.A. |
Controversies in social-ecological systems: lessons from a major red tide crisis on Chiloe Island, Chile |
2018 |
Ecology And Society |
23 |
25 pp |
|
|
|
Mascareno, A.; Goles, E.; Ruz, G.A. |
Crisis in complex social systems: A social theory view illustrated with the chilean case |
2016 |
Complexity |
21 |
13-23 |
|
|
|
Mascareno, A.; Henriquez, P.A.; Billi, M.; Ruz, G.A. |
A Twitter-Lived Red Tide Crisis on Chiloe Island, Chile: What Can Be Obtained for Social-Ecological Research through Social Media Analysis? |
2020 |
Sustainability |
12 |
38 pp |
|
|
|
Montalva-Medel, M.; Ledger, T.; Ruz, G.A.; Goles, E. |
Lac Operon Boolean Models: Dynamical Robustness and Alternative Improvements |
2021 |
Mathematics |
9 |
600 |
|
|
|
Osores, S.J.A.; Ruz, G.A.; Opitz, T.; Lardies, M.A. |
Discovering divergence in the thermal physiology of intertidal crabs along latitudinal gradients using an integrated approach with machine learning |
2018 |
Journal Of Thermal Biology |
78 |
140-150 |
|
