Geraldo Braz Junior
Orcid: 0000-0003-3731-6431
According to our database1,
Geraldo Braz Junior
authored at least 68 papers
between 2007 and 2024.
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Bibliography
2024
Proceedings of the 19th International Joint Conference on Computer Vision, 2024
2023
Comput. methods Biomech. Biomed. Eng. Imaging Vis., September, 2023
ISPRS Int. J. Geo Inf., May, 2023
A Two-Stage Method for Polyp Detection in Colonoscopy Images Based on Saliency Object Extraction and Transformers.
IEEE Access, 2023
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023
2022
Multim. Tools Appl., 2022
Semi-automatic segmentation of skin lesions based on superpixels and hybrid texture information.
Medical Image Anal., 2022
Assessing the impact of data augmentation and a combination of CNNs on leukemia classification.
Inf. Sci., 2022
Computational method for aid in the diagnosis of sixth optic nerve palsy through digital videos.
Comput. Biol. Medicine, 2022
Classification of Histopathological Images of Penile Cancer using DenseNet and Transfer Learning.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022
Practical Findings from Applying Quality Assurance Activities in the Development of Three Information Systems for Power Companies.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022
Defining an A/B Testing Process for Usability and User Experience Evaluation Through the Analysis of the Results of a Literature Review.
Proceedings of the HCI International 2022 - Late Breaking Papers. Design, User Experience and Interaction, 2022
Defining Requirements for the Development of Useful and Usable Chatbots: An Analysis of Quality Attributes from Academy and Industry.
Proceedings of the Human-Computer Interaction. User Experience and Behavior, 2022
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2021
Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning.
Multim. Tools Appl., 2021
Expert Syst. Appl., 2021
Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoost.
Expert Syst. Appl., 2021
Forecasting of individual electricity consumption using Optimized Gradient Boosting Regression with Modified Particle Swarm Optimization.
Eng. Appl. Artif. Intell., 2021
Bayesian convolutional neural network estimation for pediatric pneumonia detection and diagnosis.
Comput. Methods Programs Biomed., 2021
Comput. Biol. Medicine, 2021
Lessons Learned from Applying Requirements and Design Techniques in the Development of a Machine Learning System for Predicting Lawsuits Against Power Companies.
Proceedings of the Human Interface and the Management of Information. Information Presentation and Visualization, 2021
Applying Exploratory Testing and Ad-Hoc Usability Inspection to Improve the Ease of Use of a Mobile Power Consumption Registration App: An Experience Report.
Proceedings of the HCI International 2021 - Late Breaking Papers: Design and User Experience, 2021
Using Machine Learning for Risk Classification in Brazilian Federal Voluntary Transfers.
Proceedings of the Electronic Government and the Information Systems Perspective, 2021
Proceedings of the Artificial Intelligence in Medicine, 2021
2020
Tear Film Classification in Interferometry Eye Images Using Phylogenetic Diversity Indexes and Ripley's K Function.
IEEE J. Biomed. Health Informatics, 2020
Interferometer eye image classification for dry eye categorization using phylogenetic diversity indexes for texture analysis.
Comput. Methods Programs Biomed., 2020
Multiclass Legal Judgment Outcome Prediction for Consumer Lawsuits using XGBoost and TPE.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Temporal Convolutional Network applied for Forecasting Individual Monthly Electric Energy Consumption.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Deployment of a Machine Learning System for Predicting Lawsuits Against Power Companies: Lessons Learned from an Agile Testing Experience for Improving Software Quality.
Proceedings of the 19th Brazilian Symposium on Software Quality, 2020
Identifying Improvement Opportunities in Software Engineering Education at the Maranhão State: Listening to Voices from Academy and Industry.
Proceedings of the 34th Brazilian Symposium on Software Engineering, 2020
Optimizing CNN's using Cumulative Learning with Auxiliary Networks for Traffic Light Recognition.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020
Self-Reading by Speech: An End-to-end Speech Recognition Method Applied to the Energy Consumption Measurement on Mobile Devices.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020
Mask Overlaying: a Deep Learning Approach for Individual Optic Cup Segmentation from Fundus Image.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020
Taxonomic Indexes for Automatic Prostate Segmentation on 3D MRI Scans Using Superpixels and Probabilistic Atlas.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020
Transfer Learning Method Evaluation for Automatic Pediatric Chest X-Ray Image Segmentation.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020
2019
Multim. Tools Appl., 2019
Breast cancer detection in mammography using spatial diversity, geostatistics, and concave geometry.
Multim. Tools Appl., 2019
Multim. Tools Appl., 2019
Prediction of unregistered power consumption lawsuits and its correlated factors based on customer data using extreme gradient boosting model.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the XVIII Brazilian Symposium on Software Quality, 2019
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
2018
Augmented visualization using homomorphic filtering and Haar-based natural markers for power systems substations.
Comput. Ind., 2018
Proceedings of the 25th International Conference on Systems, Signals and Image Processing, 2018
Proceedings of the 25th International Conference on Systems, Signals and Image Processing, 2018
Proceedings of the 2018 IEEE Symposium on Computers and Communications, 2018
Segmentation of the Retinal Reflex in Brückner Test Images Using U-Net Convolutional Network.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
2017
Multim. Tools Appl., 2017
An Approach for Construction of Augmented Reality Systems using Natural Markers and Mobile Sensors in Industrial Fields.
Int. J. Comput. Commun. Control, 2017
Semi-automatic methodology for augmented panorama development in industrial outdoor environments.
Adv. Eng. Softw., 2017
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017
2016
Texture analysis of masses malignant in mammograms images using a combined approach of diversity index and local binary patterns distribution.
Expert Syst. Appl., 2016
Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web, 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
2015
An Immersive Virtual Reality Application for Collaborative Training of Power Systems Operators.
Proceedings of the XVII Symposium on Virtual and Augmented Reality, 2015
2014
Proceedings of the Augmented and Virtual Reality - First International Conference, 2014
Proceedings of the Augmented and Virtual Reality - First International Conference, 2014
2013
A mass classification using spatial diversity approaches in mammography images for false positive reduction.
Expert Syst. Appl., 2013
2010
Comparison of Support Vector Machines and Bayesian Neural Networks Performance for Breast Tissues Using geostatistical Functions in Mammographic Images.
Int. J. Comput. Intell. Appl., 2010
2009
Classification of breast tissues using Getis-Ord statistics and support vector machine.
Intell. Decis. Technol., 2009
Classification of breast tissues using Moran's index and Geary's coefficient as texture signatures and SVM.
Comput. Biol. Medicine, 2009
Lung Nodules Classification in CT Images Using Simpson's Index, Geometrical Measures and One-Class SVM.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009
2007
Classification of Breast Tissues in Mammogram Images Using Ripley's <i>K</i> Function and Support Vector Machine.
Proceedings of the Image Analysis and Recognition, 4th International Conference, 2007