Danilo Samuel Jodas

According to our database, Danilo Samuel Jodas authored at least 29 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

BioNeRF: Biologically Plausible Neural Radiance Fields for View Synthesis.

Leandro A. Passos, Douglas Rodrigues, Danilo S. Jodas, Kelton A. P. Costa, João Paulo Papa

CoRR, 2024

Introducing Bode: A Fine-Tuned Large Language Model for Portuguese Prompt-Based Task.

Gabriel Lino Garcia, Pedro Henrique Paiola, Luis Henrique Morelli, Giovani Candido, Arnaldo Cândido Júnior, Danilo Samuel Jodas, Luis C. S. Afonso, Ivan Rizzo Guilherme, Bruno Elias Penteado, João Paulo Papa

CoRR, 2024

RecognaSumm: A Novel Brazilian Summarization Dataset.

Pedro Henrique Paiola, Gabriel Lino Garcia, Danilo Samuel Jodas, João Vitor Mariano Correia, Luis C. S. Afonso, João Paulo Papa

Proceedings of the 16th International Conference on Computational Processing of Portuguese, 2024

Text Summarization and Temporal Learning Models Applied to Portuguese Fake News Detection in a Novel Brazilian Corpus Dataset.

Gabriel Lino Garcia, Pedro Henrique Paiola, Danilo Samuel Jodas, Luis Afonso Sugi, João Paulo Papa

Proceedings of the 16th International Conference on Computational Processing of Portuguese, 2024

2023

Tabular data augmentation for video-based detection of hypomimia in Parkinson's disease.

Guilherme C. Oliveira, Quoc Cuong Ngo, Leandro A. Passos, João P. Papa, Danilo S. Jodas, Dinesh K. Kumar

Comput. Methods Programs Biomed., October, 2023

PL-kNN: A Python-based implementation of a parameterless k-Nearest Neighbors classifier.

Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel, João Paulo Papa

Softw. Impacts, March, 2023

Fine-Tuning Restricted Boltzmann Machines Using No-Boundary Jellyfish.

Douglas Rodrigues, Gustavo Henrique de Rosa, Kelton Augusto Pontara da Costa, Danilo Samuel Jodas, João Paulo Papa

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Deep Learning Semantic Segmentation Models for Detecting the Tree Crown Foliage.

Danilo Samuel Jodas, Giuliana Del Nero Velasco, Reinaldo Araujo de Lima, Aline Ribeiro Machado, João Paulo Papa

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

FakeRecogna Anomaly: Fake News Detection in a New Brazilian Corpus.

Gabriel Lino Garcia, Luis C. S. Afonso, Leandro A. Passos, Danilo S. Jodas, Kelton A. P. da Costa, João P. Papa

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

A Multi-Class Probabilistic Optimum-Path Forest.

Silas Evandro Nachif Fernandes, Leandro A. Passos, Danilo S. Jodas, Marco Akio, André N. de Souza, João Paulo Papa

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

OPFsemble: An Ensemble Pruning Approach via Optimum-Path Forest.

Danilo Samuel Jodas, Leandro Aparecido Passos, Douglas Rodrigues, Thiago José Lucas, Kelton Augusto Pontara da Costa, João Paulo Papa

Proceedings of the 30th International Conference on Systems, Signals and Image Processing, 2023

A Historic-Best Particle Swarm Optimization Approach for Trust-based Routing in Smart Grid Networks.

Edwin Prem Kumar Gilbert, A. Immanuel Selvakumar, M. Lydia, Baskaran Kaliaperumal, Danilo Samuel Jodas, Leandro A. Passos, João P. Papa

Proceedings of the 30th International Conference on Systems, Signals and Image Processing, 2023

2022

Handling imbalanced datasets through Optimum-Path Forest.

Leandro Aparecido Passos, Danilo S. Jodas, Luiz Carlos Felix Ribeiro, Marco Akio, André Nunes de Souza, João Paulo Papa

Knowl. Based Syst., 2022

Detection of Trees on Street-View Images Using a Convolutional Neural Network.

Danilo Samuel Jodas, Takashi Yojo, Sergio Brazolin, Giuliana Del Nero Velasco, João Paulo Papa

Int. J. Neural Syst., 2022

PL-kNN: A Parameterless Nearest Neighbors Classifier.

Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel, João Paulo Papa

CoRR, 2022

A Review of Deep Learning-based Approaches for Deepfake Content Detection.

Leandro A. Passos, Danilo S. Jodas, Kelton A. P. da Costa, Luis Antônio Souza Júnior, Danilo Colombo, João Paulo Papa

CoRR, 2022

Multiclass Oversampling via Optimum-Path Forest for Tree Species Classification from Street-view Perspectives.

Danilo Samuel Jodas, Leandro Aparecido Passos, Giuliana Del Nero Velasco, Mariana Hortelani Carneseca Longo, Aline Ribeiro Machado, João Paulo Papa

Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 2022

PL-k NN: A Parameterless Nearest Neighbors Classifier.

Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel, João Paulo Papa

Proceedings of the 29th International Conference on Systems, Signals and Image Processing, 2022

2021

O²PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection.

Leandro Aparecido Passos, Danilo Samuel Jodas, Luiz Carlos Felix Ribeiro, Thierry Pinheiro Moreira, João P. Papa

CoRR, 2021

A Deep Learning-based Approach for Tree Trunk Segmentation.

Danilo Samuel Jodas, Sergio Brazolin, Takashi Yojo, Reinaldo Araujo de Lima, Giuliana Del Nero Velasco, Aline Ribeiro Machado, João Paulo Papa

Proceedings of the 34th SIBGRAPI Conference on Graphics, Patterns and Images, 2021

2020

Classification of calcified regions in atherosclerotic lesions of the carotid artery in computed tomography angiography images.

Danilo Samuel Jodas, Aledir Silveira Pereira, João Manuel R. S. Tavares

Neural Comput. Appl., 2020

Using a distance map and an active contour model to segment the carotid artery boundary from the lumen contour in proton density weighted magnetic resonance images.

Danilo Samuel Jodas, Maria Francisca Monteiro da Costa, Tiago A. A. Parreira, Aledir Silveira Pereira, João Manuel R. S. Tavares

Comput. Biol. Medicine, 2020

O^2PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection.

Leandro A. Passos, Danilo S. Jodas, Luiz Carlos Felix Ribeiro, Thierry Pinheiro Moreira, João Paulo Papa

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2017

Segmentation and classification of structures of the carotid and coronary arteries for image-based evaluation of atherosclerotic lesions

Danilo Samuel Jodas

PhD thesis, 2017

Automatic segmentation of the lumen region in intravascular images of the coronary artery.

Danilo Samuel Jodas, Aledir Silveira Pereira, João Manuel R. S. Tavares

Medical Image Anal., 2017

2016

A review of computational methods applied for identification and quantification of atherosclerotic plaques in images.

Danilo Samuel Jodas, Aledir Silveira Pereira, João Manuel R. S. Tavares

Expert Syst. Appl., 2016

Lumen segmentation in magnetic resonance images of the carotid artery.

Danilo Samuel Jodas, Aledir Silveira Pereira, João Manuel R. S. Tavares

Comput. Biol. Medicine, 2016

2013

Comparing Support Vector Machines and Artificial Neural Networks in the Recognition Of Steering Angle for Driving of Mobile Robots Through Paths in Plantations.

Danilo S. Jodas, Norian Marranghello, Aledir Silveira Pereira, Rodrigo Capobianco Guido

Proceedings of the International Conference on Computational Science, 2013

2012

Development of a support vector machine-based navigation system for driving a mobile robot through paths in plantations.

Danilo Samuel Jodas, Norian Marranghello, Aledir Silveira Pereira, Rodrigo Capobianco Guido

Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society, 2012