activity
20142026
most citedA Systematic Study of Cross-Project Defect Prediction With Meta-Learning

21 citations · 29 across the 5 of their papers we have counts for

collaborators

5 papers

cs.FL2026

Active Inference of Extended Finite State Machine Models with Registers and Guards

Roland Groz, German Eduardo Vega Baez, Adenilso Simao +3

Extended finite state machines (EFSMs) model stateful systems with internal data variables and have numerous applications in software engineering. A major advantage of this type of…

q-bio.MN2024

Identifying Key Genes in Cancer Networks Using Persistent Homology

Rodrigo Henrique Ramos, Yago Augusto Bardelotte, Cynthia de Oliveira Lage Ferreira +1

Identifying driver genes is crucial for understanding oncogenesis and developing targeted cancer therapies. Driver discovery methods using protein or pathway networks rely on tradi…

q-bio.MN2023

Human Protein Protein Interaction Networks: A Topological Comparison Review

Rodrigo Henrique Ramos, Cynthia de Oliveira Lage Ferreira, Adenilso Simao

Protein-Protein Interaction Networks aim to model the interactome, providing a powerful tool for understanding the complex relationships governing cellular processes. These network…

cs.SE2018★ 21 cited

A Systematic Study of Cross-Project Defect Prediction With Meta-Learning

Faimison Porto, Leandro Minku, Emilia Mendes +1

The prediction of defects in a target project based on data from external projects is called Cross-Project Defect Prediction (CPDP). Several methods have been proposed to improve t…

cs.SE2014★ 8 cited

Proceedings Ninth Workshop on Model-Based Testing

Holger Schlingloff, Alexander K. Petrenko

This volume contains the proceedings of the Ninth Workshop on Model-Based Testing (MBT 2014), which was held in Grenoble, France on April 6, 2014 as a satellite workshop of the Eur…