Pablo Sanabria

Solving Task Scheduling Problems in Dew Computing via Deep Reinforcement Learning

A. Neyem, Pablo Sanabria, T. Tapia, 2022, Applied Sciences.

Deep Neural Networks on Mobile Healthcare Applications: Practical Recommendations

Christian Poellabauer, H. Andrés Neyem, José I. Benedetto, 2018, UCAmI.

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

H. Andrés Neyem, José I. Benedetto, Pablo Sanabria, 2019, Future Gener. Comput. Syst..

MobiCOP: A Scalable and Reliable Mobile Code Offloading Solution

Christian Poellabauer, H. Andrés Neyem, José I. Benedetto, 2018, Wirel. Commun. Mob. Comput..

Code Offloading Solutions for Audio Processing in Mobile Healthcare Applications: A Case Study

Christian Poellabauer, H. Andrés Neyem, José I. Benedetto, 2018, 2018 IEEE/ACM 5th International Conference on Mobile Software Engineering and Systems (MOBILESoft).

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

H. Andrés Neyem, Alejandro Zunino, Cristian Mateos, 2021, Wirel. Commun. Mob. Comput..

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

H. Andrés Neyem, Denis Parra, Pablo Sanabria, 2017, 2017 IEEE/ACM 4th International Workshop on CrowdSourcing in Software Engineering (CSI-SE).