Camilo Velázquez-Rodríguez

Orcid: 0000-0002-8360-1519

According to our database1, Camilo Velázquez-Rodríguez authored at least 14 papers between 2014 and 2023.

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

Timeline

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Bibliography

2023
A text classification approach to API type resolution for incomplete code snippets.
Sci. Comput. Program., April, 2023

2022
Uncovering Library Features from API Usage on Stack Overflow.
Proceedings of the IEEE International Conference on Software Analysis, 2022

LiFUSO: A Tool for Library Feature Unveiling based on Stack Overflow Posts.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

2021
On the practice of semantic versioning for Ansible galaxy roles: An empirical study and a change classification model.
J. Syst. Softw., 2021

Identifying Versions of Libraries used in Stack Overflow Code Snippets.
Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

2020
MUTAMA: An Automated Multi-label Tagging Approach for Software Libraries on Maven.
Proceedings of the 20th IEEE International Working Conference on Source Code Analysis and Manipulation, 2020

Does Infrastructure as Code Adhere to Semantic Versioning? An Analysis of Ansible Role Evolution.
Proceedings of the 20th IEEE International Working Conference on Source Code Analysis and Manipulation, 2020

Automatic library categorization.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

2018
Improving the genetic bee colony optimization algorithm for efficient gene selection in microarray data.
Prog. Artif. Intell., 2018

2017
Data mining process for identification of non-spontaneous saccadic movements in clinical electrooculography.
Neurocomputing, 2017

Automatic Glissade Determination Through a Mathematical Model in Electrooculographic Records.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

2015
Evaluation of Fitting Functions for the Saccade Velocity Profile in Electrooculographic Records.
Proceedings of the Advances in Computational Intelligence, 2015

Non Spontaneous Saccadic Movements Identification in Clinical Electrooculography Using Machine Learning.
Proceedings of the Advances in Computational Intelligence, 2015

2014
A Comparison of Two Fitting Functions for Sacadic Pulse Component Mathematical Modelling.
Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing, 2014


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