UnaGrid: On Demand Opportunistic Desktop Grid. - Harold E. Castro; Eduardo Rosales 001; Mario Villamizar; Artur Jimenez (CCGRID, 2010)

Implications of CPU Dynamic Performance and Energy-Efficient Technologies on the Intrusiveness Generated by Desktop Grids Based on Virtualization. - German Sotelo; Eduardo Rosales 001; Harold E. Castro (CARLA, 2014)

Determining the Real Capacity of a Desktop Cloud. - Carlos E. Gómez; César O. Díaz; César A. Forero-González; Eduardo Rosales 001; Harold E. Castro (CARLA, 2015)

Running MPI Applications over an Opportunistic Infrastructure. - Eliana Bohorquez; Eduardo Rosales 001; Harold E. Castro (CISIS, 2015)

Harvesting idle CPU resources for desktop grid computing while limiting the slowdown generated to end-users. - Eduardo Rosales 001; German Sotelo; Antonio de la Vega; Cesar O. Diaz; Carlos E. Gómez; Harold E. Castro (Clust. Comput., 2015)

tgp: A Task-Granularity Profiler for the Java Virtual Machine. - Eduardo Rosales 001; Andrea Rosà; Walter Binder (APSEC, 2017)

Accurate reification of complete supertype information for dynamic analysis on the JVM. - Andrea Rosà; Eduardo Rosales 001; Walter Binder (GPCE, 2017)

lpt: A Tool for Tuning the Level of Parallelism of Spark Applications. - Eduardo Rosales 001; Andrea Rosà; Walter Binder (APSEC, 2018)

Analyzing and optimizing task granularity on the JVM. - Andrea Rosà; Eduardo Rosales 001; Walter Binder (CGO, 2018)

Understanding task granularity on the JVM: profiling, analysis, and optimization. - Andrea Rosà; Eduardo Rosales 001; Filippo Schiavio; Walter Binder (Programming, 2018)

Automated Large-Scale Multi-Language Dynamic Program Analysis in the Wild (Tool Insights Paper). - Alex Villazón; Haiyang Sun 003; Andrea Rosà; Eduardo Rosales 001; Daniele Bonetta; Isabella Defilippis; Sergio Oporto; Walter Binder (ECOOP, 2019)

NAB: automated large-scale multi-language dynamic program analysis in public code repositories. - Alex Villazón; Haiyang Sun 003; Andrea Rosà; Eduardo Rosales 001; Daniele Bonetta; Isabella Defilippis; Sergio Oporto; Walter Binder (SPLASH (Companion Volume), 2019)

Optimization coaching for fork/join applications on the Java virtual machine. - Eduardo Rosales 001; Andrea Rosà; Walter Binder (Programming, 2019)

Automated Large-Scale Multi-Language Dynamic Program Analysis in the Wild (Artifact). - Alex Villazón; Haiyang Sun 003; Andrea Rosà; Eduardo Rosales 001; Daniele Bonetta; Isabella Defilippis; Sergio Oporto; Walter Binder (Dagstuhl Artifacts Ser., 2019)

Analysis and Optimization of Task Granularity on the Java Virtual Machine. - Andrea Rosà; Eduardo Rosales 001; Walter Binder (ACM Trans. Program. Lang. Syst., 2019)

A Linux Scheduler to Limit the Slowdown Generated by Volunteer Computing Systems. - Jaime Chavarriaga; Antonio de la Vega; Eduardo Rosales 001; Harold Castro (ICAI, 2020)

Profiling streams on the Java virtual machine. - Eduardo Eduardo Rosales Rosero; Andrea Rosà; Walter Binder (Programming, 2020)

FJProf: Profiling Fork/Join Applications on the Java Virtual Machine. - Eduardo Rosales 001; Andrea Rosà; Walter Binder (VALUETOOLS, 2020)

Automated Large-scale Multi-language Dynamic Program Analysis in the Wild. - Alex Villazón; Haiyang Sun 003; Andrea Rosà; Eduardo Rosales 001; Daniele Bonetta; Isabella Defilippis; Sergio Oporto; Walter Binder (Software Engineering, 2021)

Accurate Fork-Join Profiling on the Java Virtual Machine. - Matteo Basso; Eduardo Rosales 001; Filippo Schiavio; Andrea Rosà; Walter Binder (Euro-Par, 2022)

Characterizing Java Streams in the Wild. - Eduardo Rosales 001; Andrea Rosà; Matteo Basso; Alex Villazón; Adriana Orellana; Ángel Zenteno; Jhon Rivero; Walter Binder (ICECCS, 2022)

Profiling and Optimizing Java Streams. - Eduardo Rosales 001; Matteo Basso; Andrea Rosà; Walter Binder (Art Sci. Eng. Program., 2023)

Large-scale characterization of Java streams. - Eduardo Rosales 001; Matteo Basso; Andrea Rosà; Walter Binder (Softw. Pract. Exp., 2023)

Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease. - Cyril Brzenczek; Quentin Klopfenstein; Tom Hähnel; Holger Fröhlich; Enrico Glaab; Geeta Acharya; Gloria Aguayo; Myriam Alexandre; Muhammad Ali; Wim Ammerlann; Giuseppe Arena; Michele Bassis; et al. (npj Digit. Medicine, 2024)

Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson's disease. - Rebecca Ting Jiin Loo; Lukas Pavelka; Graziella Mangone; Fouad Khoury; Marie Vidailhet; Jean-Christophe Corvol; Enrico Glaab; Geeta Acharya; Gloria Aguayo; Myriam Alexandre; Muhammad Ali; Wim Ammerlann; et al. (npj Digit. Medicine, 2025)