| Job performance prediction in a call center using a naive Bayes classifier MA Valle, S Varas, GA Ruz Expert Systems with Applications 39 (11), 9939-9945, 2012 | 54 | 2012 |
| Market basket analysis: Complementing association rules with minimum spanning trees MA Valle, GA Ruz, R Morrás Expert Systems with Applications 97, 146-162, 2018 | 28 | 2018 |
| Using self-organizing maps to model turnover of sales agents in a call center MA Valle, GA Ruz, VH Masías Applied Soft Computing 60, 763-774, 2017 | 12 | 2017 |
| Turnover prediction in a call center: Behavioral evidence of loss aversion using random forest and naïve bayes algorithms MA Valle, GA Ruz Applied Artificial Intelligence 29 (9), 923-942, 2015 | 12 | 2015 |
| Diseño de un modelo predictivo de fuga de clientes utilizando árboles de decisión E Contreras, F Ferreira, M Valle Revista Ingeniería Industrial 1, 7-23, 2017 | 8* | 2017 |
| Characterising the Personality of the Public Safety Offender and Non‐offender using Decision Trees: The Case of Colombia VH Masías, MA Valle, JJ Amar, M Cervantes, G Brunal, FA Crespo Journal of Investigative Psychology and Offender Profiling 13 (3), 198-219, 2016 | 8 | 2016 |
| Property valuation using machine learning algorithms: A study in a Metropolitan-Area of Chile VH Masías, MA Valle, F Crespo, R Crespo, A Vargas, S Laengle Selection at the AMSE Conferences-2016, 97, 2016 | 8 | 2016 |
| Influence of contextual information and past prices on the willingness to pay and expected quality evaluations MA Valle, JF Lavin, NS Magner, CE Geldes Journal of Consumer Behaviour 16 (2), 130-144, 2017 | 7 | 2017 |
| Modeling Verdict Outcomes Using Social Network Measures: The Watergate and Caviar Network Cases VH Masías, M Valle, C Morselli, F Crespo, A Vargas, S Laengle PloS one 11 (1), e0147248, 2016 | 6 | 2016 |
| Market basket analysis by solving the inverse Ising problem: Discovering pairwise interaction strengths among products MA Valle, GA Ruz, S Rica Physica A: Statistical Mechanics and its Applications 524, 36-44, 2019 | 3 | 2019 |
| Modeling overlapped mutual funds’ portfolios: a bipartite network approach JF Lavin, MA Valle, NS Magner Complexity 2019, 2019 | 3 | 2019 |
| Explaining job satisfaction and intentions to quit from a value-risk perspective MA Valle, GA Ruz, S Varas Academia Revista Latinoamericana de Administración, 2015 | 3 | 2015 |
| A survival model based on met expectations MA Valle, GA Ruz, S Varas Academia Revista Latinoamericana de Administración, 2015 | 3 | 2015 |
| Heuristics in Mutual Fund Consumers' Willingness‐to‐Invest: An Experimental Approach JF Lavin, MA Valle, NS Magner Journal of Consumer Affairs 53 (4), 1970-2002, 2019 | 2 | 2019 |
| The Volatility Forecasting Power of Financial Network Analysis NS Magner, JF Lavin, MA Valle, N Hardy Complexity 2020, 2020 | 1 | 2020 |
| Market Basket Analysis Using Boltzmann Machines MA Valle, GA Ruz International Conference on Artificial Neural Networks, 611-623, 2019 | 1 | 2019 |
| Market Basket Analysis Using Minimum Spanning Trees MA Valle, GA Ruz, R Morrás European Network Intelligence Conference, 155-167, 2017 | 1 | 2017 |
| DISEÑO DE UN MODELO PREDICTIVO DE FUGA DE CLIENTES UTILIZANDO ÁRBOLES DE DECISIÓN. EF Contreras Morales, FM Ferreira Correa, MA Valle Revista Ingeniería Industrial 16 (1), 2017 | 1 | 2017 |
| Modeling Recidivism through Bayesian Regression Models and Deep Neural Networks. Mathematics 2021, 9, 639 R de la Cruz, O Padilla, MA Valle, GA Ruz s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
| Modeling Recidivism through Bayesian Regression Models and Deep Neural Networks R de la Cruz, O Padilla, MA Valle, GA Ruz Mathematics 9 (6), 639, 2021 | | 2021 |
Gonzalo A. RuzUniversidad Adolfo IbáñezVerified email at uai.cl
