Pablo Sanabria

According to our database, Pablo Sanabria authored at least 9 papers between 2017 and 2023.

Collaborative distances:

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

2023

An Empirical Study of Mobile Code Offloading in Unpredictable Environments.

Pablo Sanabria, Andrés Neyem, Juan Pablo Sandoval Alcocer, Alison Fernandez-Blanco

IEEE Access, 2023

2021

New Heuristics for Scheduling and Distributing Jobs under Hybrid Dew Computing Environments.

Pablo Sanabria, Tomás Felipe Tapia, Andrés Neyem, José Ignacio Benedetto, Matías Hirsch, Cristian Mateos, Alejandro Zunino

Wirel. Commun. Mob. Comput., 2021

2019

Towards a practical framework for code offloading in the Internet of Things.

José I. Benedetto, Luis A. González, Pablo Sanabria, Andrés Neyem, Jaime Navón

Future Gener. Comput. Syst., 2019

A performance comparison of heuristics for scheduling jobs in hybrid mobile topologies.

Pablo Sanabria, Tomás Felipe Tapia, José Ignacio Benedetto, Matías Hirsch, Cristian Mateos, Alejandro Zunino

Proceedings of the 38th International Conference of the Chilean Computer Science Society, 2019

2018

MobiCOP: A Scalable and Reliable Mobile Code Offloading Solution.

José I. Benedetto, Guillermo Valenzuela, Pablo Sanabria, Andrés Neyem, Jaime Navón, Christian Poellabauer

Wirel. Commun. Mob. Comput., 2018

Deep Neural Networks on Mobile Healthcare Applications: Practical Recommendations.

José I. Benedetto, Pablo Sanabria, Andrés Neyem, Jaime Navon, Christian Poellabauer, Bryan (Ning) Xia

Proceedings of the 12th International Conference on Ubiquitous Computing and Ambient Intelligence, 2018

Code offloading solutions for audio processing in mobile healthcare applications: a case study.

Pablo Sanabria, José I. Benedetto, H. Andrés Neyem, Jaime Navon, Christian Poellabauer

Proceedings of the 5th International Conference on Mobile Software Engineering and Systems, MOBILESoft@ICSE 2018, Gothenburg, Sweden, May 27, 2018

2017

Towards Native Code Offloading Platforms for Image Processing in Mobile Applications: A Case Study.

Guillermo Valenzuela, Andrés Neyem, José I. Benedetto, Jaime Navon, Pablo Sanabria, Juan A. Karmy, Felipe Balbontin

Proceedings of the 4th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2017

Enriching Capstone Project-Based Learning Experiences Using a Crowdsourcing Recommender Engine.

Juan D. Diaz-Mosquera, Pablo Sanabria, H. Andrés Neyem, Denis Parra, Jaime Navon

Proceedings of the 4th IEEE/ACM International Workshop on CrowdSourcing in Software Engineering, 2017