activity
20192023
most citedA superpixel-driven deep learning approach for the analysis of dermatological wounds

52 citations · 66 across the 7 of their papers we have counts for

collaborators

7 papers

cs.HC2023★ 10 cited

ProWis: A Visual Approach for Building, Managing, and Analyzing Weather Simulation Ensembles at Runtime

Carolina Veiga Ferreira de Souza, Suzanna Maria Bonnet, Daniel de Oliveira +3

Weather forecasting is essential for decision-making and is usually performed using numerical modeling. Numerical weather models, in turn, are complex tools that require specialize…

cs.DC2023

IRQ Coloring and the Subtle Art of Mitigating Interrupt-generated Interference

Diogo Costa, Luca Cuomo, Daniel Oliveira +5

Integrating workloads with differing criticality levels presents a formidable challenge in achieving the stringent spatial and temporal isolation requirements imposed by safety-cri…

cs.CV2022

Transfer-learning for video classification: Video Swin Transformer on multiple domains

Daniel A. P. Oliveira, David Martins de Matos

The computer vision community has seen a shift from convolutional-based to pure transformer architectures for both image and video tasks. Training a transformer from zero for these…

q-bio.QM2021

HELIX: Data-driven characterization of Brazilian land snails

Marcelo N. Almeida, Rodolfo Alves de Oliveira, Luiz Olmes +4

Decision-support systems benefit from hidden patterns extracted from digital information. In the specific domain of gastropod characterization, morphometrical measurements support…

cs.DC2021★ 4 cited

Distributed In-memory Data Management for Workflow Executions

Renan Souza, Vítor Silva, Alexandre A. B. Lima +3

Complex scientific experiments from various domains are typically modeled as workflows and executed on large-scale machines using a Parallel Workflow Management System (WMS). Since…

cs.CR2021

uTango: an open-source TEE for IoT devices

Daniel Oliveira, Tiago Gomes, Sandro Pinto

Security is one of the main challenges of the Internet of Things (IoT). IoT devices are mainly powered by low-cost microcontrollers (MCUs) that typically lack basic hardware securi…

eess.IV2019★ 52 cited

A superpixel-driven deep learning approach for the analysis of dermatological wounds

Gustavo Blanco, Agma J. M. Traina, Caetano Traina +4

Background. The image-based identification of distinct tissues within dermatological wounds enhances patients' care since it requires no intrusive evaluations. This manuscript pres…