Linear Penalization Support Vector Machines for Feature Selection. - Jaime Miranda; Ricardo Montoya; Richard Weber 002 (PReMI, 2005)

Package Size Decisions. - Oded Koenigsberg; Rajeev Kohli; Ricardo Montoya (Manag. Sci., 2010)

Dynamic Allocation of Pharmaceutical Detailing and Sampling for Long-Term Profitability. - Ricardo Montoya; Oded Netzer; Kamel Jedidi (Mark. Sci., 2010)

The Design of Durable Goods. - Oded Koenigsberg; Rajeev Kohli; Ricardo Montoya (Mark. Sci., 2011)

Advanced conjoint analysis using feature selection via support vector machines. - Sebastián Maldonado; Ricardo Montoya; Richard Weber 002 (Eur. J. Oper. Res., 2015)

Contingent Preannounced Pricing Policies with Strategic Consumers. - José Correa 001; Ricardo Montoya; Charles Thraves (Oper. Res., 2016)

Embedded heterogeneous feature selection for conjoint analysis: A SVM approach using L1 penalty. - Sebastián Maldonado; Ricardo Montoya; Julio López 001 (Appl. Intell., 2017)

Simultaneous preference estimation and heterogeneity control for choice-based conjoint via support vector machines. - Julio López 001; Sebastián Maldonado; Ricardo Montoya (J. Oper. Res. Soc., 2017)

A Hidden Markov Model to Detect On-Shelf Out-of-Stocks Using Point-of-Sale Data. - Ricardo Montoya; Carlos Gonzalez (Manuf. Serv. Oper. Manag., 2019)

Preference estimation under bounded rationality: Identification of attribute non-attendance in stated-choice data using a support vector machines approach. - Verónica Díaz; Ricardo Montoya; Sebastián Maldonado (Eur. J. Oper. Res., 2023)