Marcelo Dias

13 papers B 2Misc 1Journal 2Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
Retinal Lesion Detection and Segmentation Using a Region of Interest-Based Approach with YOLO11.
BRACIS (2)
Marcelo Dias, Carlos Silva, Alejandro Pereira, Marilton S. de Aguiar, Daniel Welfer
2025 — conf
The Prediction of Cellular Materials Properties Through Deep Learning and Semantic Segmentation.
IST
Haleema Sadia, Marcelo Dias, Parvez Alam
2024 — conf
An Improved Approach for Semantic Segmentation of Fundus Lesions using R2U-Net.
EMBC
Alejandro Pereira, Carlos Santos, Marilton S. de Aguiar, Daniel Welfer, Marcelo Dias, Rafaela de Menezes, Paulo Roberto Ferreira, Fábio D. Rossi, Marcos Cordeiro d'Ornellas, Carlos Jesus Pereira Haygert, Juliano F. Kazienko, Fábio Comim, Aurélio Hoppe, Juliano Weber, Leandro Tavares, Leonardo Guths, Rodrigo Guerra
2024 — conf
DRAT: A semi-supervised tool for automatic annotation of lesions caused by diabetic retinopathy.
SBSI
Marcelo Dias, Carlos Santos, Marilton S. de Aguiar, Daniel Welfer, Alejandro Pereira, Fernando Ollé
2023 J jnl
A New Approach for Fundus Lesions Instance Segmentation Based on Mask R-CNN X101-FPN Pre-Trained Architecture.
IEEE Access
Carlos Silva, Marilton S. de Aguiar, Daniel Welfer, Marcelo Dias, Alejandro Pereira, Marcelo Ribeiro, Bruno Belloni
2023 B conf
Detection of retinal microlesions through YOLOR-CSP architecture and image slicing with the SAHI algorithm.
IJCNN
Alejandro Pereira, Carlos Silva, Marilton S. de Aguiar, Daniel Welfer, Marcelo Dias, Marcelo Ribeiro, Reza Ahmadi
2021 J jnl
Assessing the combination of DistilBERT news representations and difusion topological features to classify fake news.
J. Inf. Data Manag.
Carlos Abel Córdova Sáenz, Marcelo Dias, Karin Becker
2017 — conf
INF-UFRGS at SemEval-2017 Task 5: A Supervised Identification of Sentiment Score in Tweets and Headlines.
SemEval@ACL
Tiago Zini, Karin Becker, Marcelo Dias
2016 B conf
An Heuristics-Based, Weakly-Supervised Approach for Classification of Stance in Tweets.
WI
Marcelo Dias, Karin Becker
2016 — conf
Detecção semi-supervisionada de posicionamento em tweets baseada em regras de sentimento.
SBBD
Marcelo Dias, Karin Becker
2016 — conf
INF-UFRGS-OPINION-MINING at SemEval-2016 Task 6: Automatic Generation of a Training Corpus for Unsupervised Identification of Stance in Tweets.
SemEval@NAACL-HLT
Marcelo Dias, Karin Becker
2014 Misc conf
How Musical Selection Impacts the Performance of the Interaction with the Computer.
IDC
Mickael da Costa, Davide Carneiro, Marcelo Dias, Paulo Novais
2009 — —
Artificial generation of populations for machine learning classifiers training to glaucoma diagnosis support (Geração de populações artificiais para treinamento de classificadores de apoio ao diagnóstico de glaucoma).
Marcelo Dias