José Carlos Rangel

According to our database1, José Carlos Rangel authored at least 15 papers between 2015 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2020
How to add new knowledge to already trained deep learning models applied to semantic localization.
Appl. Intell., 2020

2019
An augmented reality application for improving shopping experience in large retail stores.
Virtual Real., 2019

Automatic semantic maps generation from lexical annotations.
Auton. Robots, 2019

2018
Geoffrey: An Automated Schedule System on a Social Robot for the Intellectually Challenged.
Comput. Intell. Neurosci., 2018

Semi-supervised 3D object recognition through CNN labeling.
Appl. Soft Comput., 2018

Semantic Localization of a Robot in a Real Home.
Proceedings of the Advances in Physical Agents, 2018

Finding the Place: How to Train and Use Convolutional Neural Networks for a Dynamically Learning Robot.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Multiagent System for Semantic Categorization of Places Mean the Use of Distributed Surveillance Cameras.
Proceedings of the Distributed Computing and Artificial Intelligence, 2018

2017
Object recognition in noisy RGB-D data using GNG.
Pattern Anal. Appl., 2017

LexToMap: lexical-based topological mapping.
Adv. Robotics, 2017

Robot Semantic Localization Through CNN Descriptors.
Proceedings of the ROBOT 2017: Third Iberian Robotics Conference, 2017

2016
Scene classification based on semantic labeling.
Adv. Robotics, 2016

2015
Computing Image Descriptors from Annotations Acquired from External Tools.
Proceedings of the Robot 2015: Second Iberian Robotics Conference, 2015

Object Recognition in Noisy RGB-D Data.
Proceedings of the Bioinspired Computation in Artificial Systems, 2015

Using GNG on 3D Object Recognition in Noisy RGB-D data.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015


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