Enriching Capstone Project-Based Learning Experiences Using a Crowdsourcing Recommender Engine. - Juan D. Diaz-Mosquera; Pablo Sanabria; H. Andrés Neyem; Denis Parra; Jaime Navon (CSI-SE@ICSE, 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 (MOBILESoft@ICSE, 2017)

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 (MOBILESoft@ICSE, 2018)

Deep Neural Networks on Mobile Healthcare Applications: Practical Recommendations. - José I. Benedetto; Pablo Sanabria; Andrés Neyem; Jaime Navon; Christian Poellabauer; Bryan (Ning) Xia (UCAmI, 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)

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 (SCCC, 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)

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)

An Empirical Study of Mobile Code Offloading in Unpredictable Environments. - Pablo Sanabria; Andrés Neyem; Juan Pablo Sandoval Alcocer; Alison Fernandez-Blanco (IEEE Access, 2023)