Author |
Title |
Year |
Publication |
Volume |
Pages |
Valle, M.A.; Ruz, G.A. |
Market Basket Analysis Using Boltzmann Machines |
2019 |
Lecture Notes in Computer Sciences |
11730 |
|
Ruz, G.A.; Henriquez, P.A. |
Random Vector Functional Link with Naive Bayes for Classification Problems of Mixed Data |
2019 |
IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI) |
2019 |
|
Valle, M.A.; Ruz, G.A.; Rica, S. |
Transactional Database Analysis by Discovering Pairwise Interactions Strengths |
2018 |
2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) |
2018 |
|
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) |
|
|
Ruz, G.A.; Goles, E.; Sene, S. |
Reconstruction of Boolean Regulatory Models of Flower Development Exploiting an Evolution Strategy |
2018 |
2018 IEEE Congress on Evolutionary Computation (CEC) |
|
1-8 |
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 |
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 |
Ruz, G.A.; Henriquez, P.A.; Mascareno, A. |
Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers |
2020 |
Future Generation Computer Systems-The International Journal Of Escience |
106 |
92-104 |
Timmermann, T.; Gonzalez, B.; Ruz, G.A. |
Reconstruction of a gene regulatory network of the induced systemic resistance defense response in Arabidopsis using boolean networks |
2020 |
Bmc Bioinformatics |
21 |
16 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 |
Timmermann, T.; Poupin, M.J.; Vega, A.; Urrutia, C.; Ruz, G.A.; Gonzalez, B. |
Gene networks underlying the early regulation of Paraburkholderia phytofirmans PsJN induced systemic resistance in Arabidopsis |
2019 |
Plos One |
14 |
24 pp |
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 |
Valle, M.A.; Ruz, G.A.; Rica, S. |
Market basket analysis by solving the inverse Ising problem: Discovering pairwise interaction strengths among products |
2019 |
Physica A-Statistical Mechanics And Its Applications |
524 |
36-44 |
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 |
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 |
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 |
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 |
Ruz, G.A.; Araya-Diaz, P. |
Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers |
2018 |
Complexity |
4075656 |
14 pp |
Ruz, G.A.; Zuniga, A.; Goles, E. |
A Boolean network model of bacterial quorum-sensing systems |
2018 |
International Journal Of Data Mining And Bioinformatics |
21 |
123-144 |
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 |