default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRevista de Informática Teórica e Aplicada - RITA, Volume 32
Volume 32, Number 1, 2025
- Vanessa Kaplum Foleis, Bianca Aparecida Andrade
, Henrique Bergamo Shigihara, Dimas Augusto Mendes Lemes, José Guilherme Picolo, Bernardo Feijó Junqueira, Guilherme Ribeiro Sales, Valentino Corso, Cides S. Bezerra:
Transfer Learning and Handcrafted Features Ensembles for Ultrasound Breast Cancer Image Classification. 11-17 - Pedro Lucas De Oliveira Costa, Thiago Matheus De Oliveira Costa, Larissa Ferreira Rodrigues Moreira, Leandro Henrique Furtado Pinto Silva, João Fernando Mari:
Classification of Agricultural Pests Through Digital Images Using Deep Learning. 18-25 - Ana Claudia Souza Vidal de Negreiros, Gilson Giraldi, Heron Werner:
Application of Denoising Diffusion Probabilistic Methods in Fetal MRI. 26-32 - João Vítor Souto de Lima, Rafael Marinho e Silva, Rodrigo Moreira, Larissa Ferreira Rodrigues Moreira:
Preprocessing and Optimizer impact on Image-Based Autoimmune Disease Diagnosis. 33-39 - Iago Garcia Vargas, Henrique C. Fernandes:
Composite Material Defect Segmentation Using Deep Learning Models and Infrared Thermography. 40-46 - Gabriel Santos De Souza, Camila Corrêa Vargas, Jean Carlo Hamerski:
Automatic Detection and Counting of Tuta Absoluta Insect in Trap Images. 47-53 - Victor Forattini Jansen, Emanuel Teixeira Martins, Yasmin Souza Lima, Flávio Oliveira Silva, Rodrigo Moreira, Larissa Ferreira Rodrigues Moreira:
Data Augmentation and Convolutional Network Architecture Influence on Distributed Learning. 54-60 - Vinícius Meireles Pereira Santos, Ana Claudia Patrocinio, William Chaves de Souza Carvalho, Pedro Moises de Sousa:
Renal Cancer Classification in Tomographic Images Using Convolutional Neural Networks to Assist Early Diagnosis. 61-66 - Luísa Ferreira, Michel Melo Silva:
Automatic Identification of Relevant Moments in Security Force Videos Using Multimodal Analysis. 67-74 - Luísa Ferreira, Ana Clara Fraga Osias, Lucas Vieira dos Santos, Michel Melo Silva:
Portal to Other Dimensions: use of Computer Vision to create art work from day life images. 75-82 - Ivânia Maria Lucinda De Donato, Juliana Do Nascimento Lunz, Fernanda Davi Marques, Bráulio Soares Archanjo, Francisco José Pereira Lopes, Gilson Antonio Giraldi:
Deep Learning-Based Segmentation of Nanomaterial Images Acquired via Scanning Electron Microscopy. 83-90 - Edmilson Sanches, Fábio Augusto, Pauline Silveira, Bernardo Feijó Junqueira, Dimas A. M. Lemes, José Picolo, Guilherme Ribeiro Sales, Valentino Corso, Cides S. Bezerra:
Artificial Intelligence for Gas Leak Detection with Thermal Cameras and Metal Oxide Semiconductor Sensors. 91-98 - Antonio Vinicius de Moura Rodrigues, Roberta Barbosa Oliveira:
Segmentation of Skin Lesions and their Attributes in Dermatoscopic Images Based on Convolutional Neural Networks. 99-106 - Pedro Henrique Neves da Silva, Rodrigo Gonçalves Mateus, Diego André Sant'Ana, Sebastião Lucas Neves de Melo, Hemerson Pistori:
Sheep Behavioral Analysis with Optical Flow. 107-113 - Joyce Katiuccia Medeiros Ramos Carvalho, Pedro Henrique Neves da Silva, Sandra Adriana Uhry, Gustavo Da Silva Andrade, Gisele Braziliano de Andrade, Hemerson Pistori, Newton Loebens:
Bulldogs Nose Detection using Deep Learning. 114-120 - Ariane Paula Barros, Elizângela Jussara dos Santos, Fernanda Kristen da Silva Pedro, Dimas Augusto Mendes Lemes, José Picolo, Guilherme Ribeiro Sales, Valentino Corso, Cides Semprebom Bezerra:
Fusion of Satellite and Drone Images for Identifying Water Bodies. 121-127 - Eduardo David Campopiano, Iago Fonseca Marinho Pereira, Thomas William, Douglas Henrique Siqueira Abreu, Guilherme Ribeiro Sales, Valentino Corso, Cides S. Bezerra:
Classification of Cells Infected by Malaria with Vision Transformers Models. 128-135 - Renato De Avila Lopes, Marcus Vinicius Leal de Carvalho, Edson C. Kitani, Francisco De Assis Zampirolli, Leopoldo Rideki Yoshioka, Luiz Antonio Celiberto Junior, Ugo Ibusuki:
Deep Learning-Based Instance Segmentation for Enhanced Navigation of Agricultural Vehicles. 136-142 - Lorrainy Rembiski Delfino, Marina Cunha Galvão de França, Jaquelini Kumm, Marcus Ventura, Gabriel Flausino de Souza, Allan Lorenzoni Canal, Yargo Alves Sampaio, Fabiana Zambroni Neves:
Safer Stack: Safe Dump of Off-Highways Trucks in Slope Crest Windrows. 143-150 - Iago Magalhães De Mesquita, Larissa Ferreira Rodrigues Moreira, Rhuan Silva Nunes, Iális Cavalcante de Paula Júnior:
A Novel Brazilian Dataset for Automatic Detection of Psyllid Attacksin Guava. 151-157 - Dayllon Vinícius Xavier Lemos, Humberto J. Longo, Márcia Rodrigues Cappelle Santana, Mariana Dourado Ximenes de Sena Santos, Sanderson Oliveira de Macedo, Ronaldo Martins da Costa:
YOLO and CNN for Cat Detection and Recognition. 158-165 - Fábio Leandro Vizzotto, Marcos D'Addio de Moura, Vinicius Carbonezi De Souza, Cides Semprebom Bezerra, Guilherme Ribeiro Sales, Valentino Corso, Luiz Eduardo Pita Mercês Almeida, Douglas Henrique Siqueira Abreu:
Case Study of Deep Learning Methods for Depth Estimation in Indoor Ground Robotics. 166-172 - Gleidson Vinicius Gomes Barbosa, Leonardo Gabriel Ferreira Rodrigues, Larissa F. Rodrigues Moreira, André Ricardo Backes:
Federated Learning in Breast Cancer Diagnosis. 173-179 - Leonardo Gabriel Ferreira Rodrigues, Gleidson Vinicius Gomes Barbosa, Rodrigo Moreira, Larissa Ferreira Rodrigues Moreira, André Ricardo Backes:
Medical Image Classification with Privacy: Centralized and Federated Learning Comparison. 180-187 - Wesley Augusto Catuzzo de Bona, Jefferson Tales Oliva, Luiz Fernando Puttow Southier, Fábio Favarim, Marcelo Teixeira, Dalcimar Casanova:
Construction of Rolled Digital for Newborns Using Image Registration. 188-195 - Juliana Quintiliano de Oliveira Ferreira, Lucas Silva, Thiago L. Gomes, Michel Melo Silva:
Digital Fencing for Farms: Enhancing Object Detection through Multi-Dataset Integration. 196-203 - Gabriel Sávio de Lima Mota, Matheus Vieira da Silva, João Fernando Mari, André Ricardo Backes:
Identifying Malignant Skin Diseases Through Deep Learning. 204-211 - Rene Ernesto García Rivas, Renata Dos Santos Melo, Saide Manuel Saide, André Ricardo Backes, Henrique Coelho Fernandes:
Rust Detection in Coffee Leaves Using Otsu's Method and Mathematical Morphology. 212-219 - Juan Carlos Conceiçao de Lima Sales, Mário de Araújo Carvalho, José Marcato Junior, Wesley Nunes Gonçalves:
Castor Beans Identification in Sugarcane Plantations Using Active Learning. 220-226 - Juliano Tiago Rinaldi, Dalcimar Casanova, Larissa Macedo dos Santos Tonial, Marcelo Teixeira, Heitor Silvério Lopes:
New Approach for Soil Carbon and Nitrogen Assessment through Image Analysis: A Case Study with Oxisols and Inceptisols. 227-235 - Felipe Pires Saraiva, Gustavo Teodoro Laureano, Thiago Henrique De Oliveira:
Mini-map Alignment Approach using Landmark Observation Information Intrinsic to the Feature-based Visual SLAM Pipeline. 236-242 - Gustavo Vasconcelos, André Roberto Ortoncelli, Fabiana Martins Costa, Marlon Marcon:
Deep Semantic Segmentation Applied to Honey Bee Comb Cells. 243-249 - Luiz Augusto Vieira Manoel, Moacir Antonelli Ponti:
Leveraging Optimal Methods for Diverse Skin Types Classification in Images for Reduced Bias. 250-256 - João Flávio Martins Pereira, João Fernando Mari, Leandro Henrique Furtado Pinto Silva:
Exploiting Data Augmentation Strategies to Improve the Classification of Spinal Disorders in X-Ray Images. 257-264 - Bianca Panacho Ferreira, Pedro Henrique Campos Moreira, Leandro Henrique Furtado Pinto Silva, João Fernando Mari:
Evaluating Deep Learning Models for Effective Weed Classification in Agricultural Images. 265-272 - Alisson Moriyasu Pinto, João Vitor Macedo Romera, Carlos Eduardo Thomaz:
How Misleading Can The Analysis of Human Eye Movements Be? Experiments on Dominante Eye and Cognitive Visual Perception. 273-279 - Ian Carlos Rocha Lima, André Roberto Ortoncelli, Michele Potrich, Marlon Marcon:
Analyzing Bee Behavior Through Video Tracking Using Computer Vision Techniques. 280-286 - Micheli Nayara de Oliveira Vicente, João Vitor de Andrade Porto, Gabriel Toshio Hirokawa Higa, Higor Henrique, Picoli Nucci, Asser Botelho Santana, Karla Rejane de Andrade Porto, Antonia Railda Roel, Hemerson Pistori:
Aedes aegypti Egg Counting with Neural Networks for Object Detection. 287-293
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-05-17 00:16 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
