UFF eScience Research Group
Welcome to the official page of the UFF eScience Research Group, part of the Instituto de Computação at Universidade Federal Fluminense (UFF).
Our group is dedicated to advancing research in Data Science, Machine Learning, and their applications to social good and healthcare. Here you will find information about our team, ongoing projects, and scientific publications.
Explore the menu to learn more about our research, team members, projects, and publications.
AkôFlow
AkôFlow is an open-source middleware for orchestrating and executing container-based scientific w...
SAMbA
SAMbA: Extending Apache Spark for Scientific Computational Experiments
dlprov
dlprov: Provenance tracking for deep learning experiments.
Phenomanager
Phenomanager: Management tool for scientific experiments.
Denethor
Denethor: Scientific workflow management in Python.
Flower-PROV
Flower-PROV: Provenance-based Dynamic Fine-Tuning of Federated Machine Learning Framework
