Marco A. Contreras

According to our database, Marco A. Contreras authored at least 11 papers between 2014 and 2018.

Collaborative distances:

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

2018

Deep learning for conifer/deciduous classification of airborne LiDAR 3D point clouds representing individual trees.

Hamid Hamraz, Nathan B. Jacobs, Marco A. Contreras, Chase H. Clark

CoRR, 2018

2017

A scalable approach for tree segmentation within small-footprint airborne LiDAR data.

Hamid Hamraz, Marco A. Contreras, Jun Zhang

Comput. Geosci., 2017

Forest understory trees revealed using sufficiently dense airborne laser scanning point clouds.

Hamid Hamraz, Marco A. Contreras, Jun Zhang

CoRR, 2017

Tree segmentation in multi-story stands within small-footprint airborne LiDAR data.

Hamid Hamraz, Marco A. Contreras, Jun Zhang

CoRR, 2017

Remote sensing of forests using discrete return airborne LiDAR.

Hamid Hamraz, Marco A. Contreras

CoRR, 2017

Multi-camera surveillance systems for time and motion studies of timber harvesting equipment.

Marco A. Contreras, Rafael Freitas, Lucas Ribeiro, Jeffrey Stringer, Chase Clark

Comput. Electron. Agric., 2017

Combining ant colony optimization with 1-opt local search method for solving constrained forest transportation planning problems.

Pengpeng Lin, Ruxin Dai, Marco A. Contreras, Jun Zhang

Artif. Intell. Res., 2017

2016

A multilevel ACO approach for solving forest transportation planning problems with environmental constraints.

Pengpeng Lin, Marco A. Contreras, Ruxin Dai, Jun Zhang

Swarm Evol. Comput., 2016

A robust approach for tree segmentation in deciduous forests using small-footprint airborne LiDAR data.

Hamid Hamraz, Marco A. Contreras, Jun Zhang

Int. J. Appl. Earth Obs. Geoinformation, 2016

2015

Automatically configuring ACO using multilevel ParamILS to solve transportation planning problems with underlying weighted networks.

Pengpeng Lin, Jun Zhang, Marco A. Contreras

Swarm Evol. Comput., 2015

2014

Applying pareto ant colony optimization to solve bi-objective forest transportation planning problems.

Pengpeng Lin, Jun Zhang, Marco A. Contreras

Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014