Leonardo C. Martinez

According to our database, Leonardo C. Martinez authored at least 8 papers between 2009 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Beating the Stock Market with a Deep Reinforcement Learning Day Trading System.

Leonardo Conegundes Martinez, Adriano César Machado Pereira

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2014

The min-degree constrained minimum spanning tree problem: Formulations and Branch-and-cut algorithm.

Leonardo Conegundes Martinez, Alexandre Salles da Cunha

Discret. Appl. Math., 2014

2012

A Parallel Lagrangian Relaxation Algorithm for the Min-Degree Constrained Minimum Spanning Tree Problem.

Leonardo Conegundes Martinez, Alexandre Salles da Cunha

Proceedings of the Combinatorial Optimization - Second International Symposium, 2012

2011

Heuristic and exact algorithms for a min-max selective vehicle routing problem.

Cristiano Arbex Valle, Leonardo Conegundes Martinez, Alexandre Salles da Cunha, Geraldo Robson Mateus

Comput. Oper. Res., 2011

2010

Finding min-degree constrained spanning trees faster with a Branch-and-cut algorithm.

Leonardo Conegundes Martinez, Alexandre Salles da Cunha

Electron. Notes Discret. Math., 2010

Adaptive Normalization: A novel data normalization approach for non-stationary time series.

Eduardo S. Ogasawara, Leonardo C. Martinez, Daniel de Oliveira, Geraldo Zimbrão, Gisele L. Pappa, Marta Mattoso

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Exact algorithms for a selective Vehicle Routing Problem where the longest route is minimized.

Cristiano Arbex Valle, Alexandre Salles da Cunha, Geraldo Robson Mateus, Leonardo C. Martinez

Electron. Notes Discret. Math., 2009

From an artificial neural network to a stock market day-trading system: A case study on the BM&F BOVESPA.

Leonardo C. Martinez, Diego N. da Hora, João R. M. Palotti, Wagner Meira Jr., Gisele L. Pappa

Proceedings of the International Joint Conference on Neural Networks, 2009