Anselmo Cardoso de Paiva

Orcid: 0000-0003-4921-0626

According to our database1, Anselmo Cardoso de Paiva authored at least 159 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Improving hate speech detection using Cross-Lingual Learning.
Expert Syst. Appl., January, 2024

A corneal ulcer segmentation approach using U-Net and stepwise fine-tuning.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., January, 2024

Selection of Backbone for Feature Extraction with U-Net in Pancreas Segmentation.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023
A PPM-based UNet for Tumour and Kidney Segmentation in CTScans.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., September, 2023

A Machine Learning Approach for Classifying Road Accident Hotspots.
ISPRS Int. J. Geo Inf., May, 2023

Heart segmentation in planning CT using 2.5D U-Net++ with attention gate.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., May, 2023

Detection of potential gas accumulations in 2D seismic images using spatio-temporal, PSO, and convolutional LSTM approaches.
Expert Syst. Appl., April, 2023

A computing platform to analyze breast abnormalities using infrared images.
Medical Biol. Eng. Comput., February, 2023

A Two-Stage Method for Polyp Detection in Colonoscopy Images Based on Saliency Object Extraction and Transformers.
IEEE Access, 2023

Methodology for automatic extraction of red flags in public procurement.
Proceedings of the International Joint Conference on Neural Networks, 2023

Using Multilingual Approach in Cross-Lingual Transfer Learning to Improve Hate Speech Detection.
Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

Multi-label Classification of Pathologies in Chest Radiograph Images Using DenseNet.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022
An automated CNN architecture search for glaucoma diagnosis based on NEAT.
Multim. Tools Appl., 2022

A cascade approach for automatic segmentation of cardiac structures in short-axis cine-MR images using deep neural networks.
Expert Syst. Appl., 2022

An automatic approach for heart segmentation in CT scans through image processing techniques and Concat-U-Net.
Expert Syst. Appl., 2022

Kidney tumor segmentation from computed tomography images using DeepLabv3+ 2.5D model.
Expert Syst. Appl., 2022

Computational method for aid in the diagnosis of sixth optic nerve palsy through digital videos.
Comput. Biol. Medicine, 2022

Liver segmentation from computed tomography images using cascade deep learning.
Comput. Biol. Medicine, 2022

A deep learning method with residual blocks for automatic spinal cord segmentation in planning CT.
Biomed. Signal Process. Control., 2022


Time2Vec transformer: a time series approach for gas detection in seismic data.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Diabetic Retinopathy Detection Using Convolutional Neural Networks for Mobile Use.
Proceedings of the Wireless Mobile Communication and Healthcare, 2022

A Two-Stage U-Net to Estimate the Cultivated Area of Plantations.
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

Detection and Delimitation of Natural Gas in Seismic Images using MLP-Mixer and U-Net.
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

Classification of Video Capsule Endoscopy Images Using Visual Transformers.
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

Automatic ocular version evaluation in images using random forest.
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

An automatic method for segmentation of liver lesions in computed tomography images using deep neural networks.
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

Surgical planning of horizontal strabismus using multiple output regression tree.
Comput. Biol. Medicine, 2021

TIMEG: Development and Evaluation of an Inspection Checklist Tool for Mobile Educational Games.
Proceedings of the 35th Brazilian Symposium on Software Engineering, 2021

Developing a Set of Design Patterns Specific for the Design of User Interfaces for Autistic Users.
Proceedings of the IHC '21: XX Brazilian Symposium on Human Factors in Computing Systems, 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

Using Cross Lingual Learning for Detecting Hate Speech in Portuguese.
Proceedings of the Database and Expert Systems Applications, 2021

A Coarse to Fine Corneal Ulcer Segmentation Approach Using U-net and DexiNed in Chain.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

2020
Tear Film Classification in Interferometry Eye Images Using Phylogenetic Diversity Indexes and Ripley's K Function.
IEEE J. Biomed. Health Informatics, 2020

Eye tracking como estratégia educacional inclusiva: avaliação com estudantes com autismo.
Revista Brasileira de Informática na Educ., 2020

Superpixel-based deep convolutional neural networks and active contour model for automatic prostate segmentation on 3D MRI scans.
Medical Biol. Eng. Comput., 2020

Esophagus segmentation from planning CT images using an atlas-based deep learning approach.
Comput. Methods Programs Biomed., 2020

Interferometer eye image classification for dry eye categorization using phylogenetic diversity indexes for texture analysis.
Comput. Methods Programs Biomed., 2020

Kidney segmentation from computed tomography images using deep neural network.
Comput. Biol. Medicine, 2020

Breast cancer diagnosis from histopathological images using textural features and CBIR.
Artif. Intell. Medicine, 2020

Authoring and Visualization Tool for Augmented Scenic Performances Prototyping and Experience.
Proceedings of the 22nd Symposium on Virtual and Augmented Reality, 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


Alocação de Banda de Guarda Adaptativa Utilizando Redes Neurais Multi Layer Perceptron em Redes Ópticas Elásticas.
Proceedings of the XXXVIII Brazilian Symposium on Computer Networks and Distributed Systems, 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

Data Augmentation for Face Recognition with CNN Transfer Learning.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

Automatic Prostate Segmentation on 3D MRI Scans Using Convolutional Neural Networks with Residual Connections and Superpixels.
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

Improving Active Shape Models Robustness Towards Locating Facial Landmarks In Profile Contour.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

Multilevel CNN for Angle Closure Glaucoma Detection using AS-OCT Images.
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

Hybrid Capsule Network Architecture Estimation for Melanoma Detection.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

2019
Modified Quality Threshold Clustering for Temporal Analysis and Classification of Lung Lesions.
IEEE Trans. Image Process., 2019

Diagnosis of breast tissue in mammography images based local feature descriptors.
Multim. Tools Appl., 2019

Breast cancer detection in mammography using spatial diversity, geostatistics, and concave geometry.
Multim. Tools Appl., 2019

Glaucoma diagnosis in fundus eye images using diversity indexes.
Multim. Tools Appl., 2019

An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks.
Comput. Methods Programs Biomed., 2019

Spinal cord detection in planning CT for radiotherapy through adaptive template matching, IMSLIC and convolutional neural networks.
Comput. Methods Programs Biomed., 2019

Temporal analysis of lung lesions through dynamic shape features.
Comput. Electr. Eng., 2019

Pathophysiological mapping of tumor habitats in the breast in DCE-MRI using molecular texture descriptor.
Comput. Biol. Medicine, 2019

An ergonomic evaluation method using a mobile depth sensor and pose estimation.
Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, 2019

Optimized Deep Learning Architecture for the Diagnosis of Pneumonia Through Chest X-Rays.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Automatic Ocular Alignment Evaluation for Strabismus Detection Using U-NET and ResNet Networks.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural network.
Pattern Recognit., 2018

Classification of malignant and benign lung nodules using taxonomic diversity index and phylogenetic distance.
Medical Biol. Eng. Comput., 2018

Convolutional neural network-based PSO for lung nodule false positive reduction on CT images.
Comput. Methods Programs Biomed., 2018

Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks.
Comput. Methods Programs Biomed., 2018

Classification of breast tissues into mass and non-mass by means of the micro-genetic algorithm, phylogenetic trees, LBP and SVM.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

Augmented visualization using homomorphic filtering and Haar-based natural markers for power systems substations.
Comput. Ind., 2018

Evaluation of Melanoma Diagnosis using Deep Features.
Proceedings of the 25th International Conference on Systems, Signals and Image Processing, 2018

Glaucoma Diagnosis over Eye Fundus Image through Deep Features.
Proceedings of the 25th International Conference on Systems, Signals and Image Processing, 2018

Tear Film Classification Using Phylogenetic Diversity Indexes as Texture Descriptor.
Proceedings of the 2018 IEEE Symposium on Computers and Communications, 2018

Methodology Based on Texture, Color and Shape Features For Traffic Light Detection and Recognition.
Proceedings of the 2018 International Joint Conference on Neural Networks, 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

Sign Language Recognition Based on 3D Convolutional Neural Networks.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

Diagnosis of Non-Small Cell Lung Cancer Using Phylogenetic Diversity in Radiomics Context.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

2017
Lung-Nodule Classification Based on Computed Tomography Using Taxonomic Diversity Indexes and an SVM.
J. Signal Process. Syst., 2017

Texture based on geostatistic for glaucoma diagnosis from fundus eye image.
Multim. Tools Appl., 2017

Lung nodules diagnosis based on evolutionary convolutional neural network.
Multim. Tools Appl., 2017

Automatic method for quantitative automatic evaluation in dynamic renal scintilography images.
Multim. Tools Appl., 2017

Unsupervised detection of density changes through principal component analysis for lung lesion classification.
Multim. Tools Appl., 2017

Automatic mass detection in mammography images using particle swarm optimization and functional diversity indexes.
Multim. Tools Appl., 2017

3D shape analysis to reduce false positives for lung nodule detection systems.
Medical Biol. Eng. Comput., 2017

Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM.
Medical Biol. Eng. Comput., 2017

Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVM.
J. Digit. Imaging, 2017

An Approach for Construction of Augmented Reality Systems using Natural Markers and Mobile Sensors in Industrial Fields.
Int. J. Comput. Commun. Control, 2017

Lung nodule classification using artificial crawlers, directional texture and support vector machine.
Expert Syst. Appl., 2017

Statistical tools for the temporal analysis and classification of lung lesions.
Comput. Methods Programs Biomed., 2017

Semi-automatic methodology for augmented panorama development in industrial outdoor environments.
Adv. Eng. Softw., 2017

Application of virtual reality techniques to a birth simulation.
Proceedings of the 2017 4th Experiment@International Conference (exp.at'17), 2017

Sclera Segmentation in Face Images Using Image Foresting Transform.
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

A Deep Approach for Handwritten Musical Symbols Recognition.
Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web, 2016

Lung nodule classification based on shape distributions.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016


2015
A Spatial and Temporal Sentiment Analysis Approach Applied to Twitter Microtexts.
J. Inf. Data Manag., 2015

Automatic Detection of Masses in Mammograms Using Quality Threshold Clustering, Correlogram Function, and SVM.
J. Digit. Imaging, 2015

Computer-Aided Methodology for Syndromic Strabismus Diagnosis.
J. Digit. Imaging, 2015

Detection of masses in mammograms with adaption to breast density using genetic algorithm, phylogenetic trees, LBP and SVM.
Expert Syst. Appl., 2015

Semi-automatic photograph tagging by combining context with content-based information.
Expert Syst. Appl., 2015

Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVM.
Comput. Biol. Medicine, 2015

Surgical planning for horizontal strabismus using Support Vector Regression.
Comput. Biol. Medicine, 2015

An Immersive Virtual Reality Application for Collaborative Training of Power Systems Operators.
Proceedings of the XVII Symposium on Virtual and Augmented Reality, 2015

Automatic segmentation of masses in digital mammograms using particle swarm optimization and graph clustering.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015

Management of Large Hydroelectric Reservoirs Surrounding Areas Using GIS and Remote Sensing.
Proceedings of the Electronic Government and the Information Systems Perspective, 2015

2014
Automatic detection of small lung nodules in 3D CT data using Gaussian mixture models, Tsallis entropy and SVM.
Eng. Appl. Artif. Intell., 2014

Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index.
Artif. Intell. Medicine, 2014

A Comparison of SVM Versus Naive-Bayes Techniques for Sentiment Analysis in Tweets: A Case Study with the 2013 FIFA Confederations Cup.
Proceedings of the 20th Brazilian Symposium on Multimedia and the Web, 2014

Comparing results of thermographic images based diagnosis for breast diseases.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2014

New Approaches for Geographic Location Propagation in Digital Photograph Collections.
Proceedings of the ICEIS 2014, 2014

AGITO: Virtual Reality Environment for Power Systems Substations Operators Training.
Proceedings of the Augmented and Virtual Reality - First International Conference, 2014

Visualization of Power Systems Based on Panoramic Augmented Environments.
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

Detection of masses based on asymmetric regions of digital bilateral mammograms using spatial description with variogram and cross-variogram functions.
Comput. Biol. Medicine, 2013

2012
PhotoGeo: a photo digital library with spatial-temporal support and self-annotation.
Multim. Tools Appl., 2012

Computational methodology for automatic detection of strabismus in digital images through Hirschberg test.
Comput. Biol. Medicine, 2012

Lung Nodules Classification in CT Images Using Shannon and Simpson Diversity Indices and SVM.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

Classification of Breast Tissues in Mammographic Images in Mass and Non-mass Using McIntosh's Diversity Index and SVM.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

2011
Detection of masses in mammogram images using CNN, geostatistic functions and SVM.
Comput. Biol. Medicine, 2011

Automatic Eye Detection in Human Faces Using Geostatistical Functions and Support Vector Machines.
Proceedings of the Image Analysis and Recognition - 8th International Conference, 2011

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

Methodology for automatic detection of lung nodules in computerized tomography images.
Comput. Methods Programs Biomed., 2010

2009
Detection of Breast Masses in Mammogram Images Using Growing Neural Gas Algorithm and Ripley's <i>K</i> Function.
J. Signal Process. Syst., 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

A context-aware solution to annotate people in mobile devices.
Proceedings of the MoMM'2009, 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

Detection of Masses in Mammographic Images Using Simpson's Diversity Index in Circular Regions and SVM.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

Content based mammography images retrieval using Ripley's K function.
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, 2009

2008
Diagnosis of lung nodule using Moran's index and Geary's coefficient in computerized tomography images.
Pattern Anal. Appl., 2008

Diagnosis of solitary lung nodules using the local form of Ripley's K function applied to three-dimensional CT data.
Comput. Methods Programs Biomed., 2008

Expandindo e utilizando informações de contexto para a sugestao de anotações de fotografias digitais.
Proceedings of the 14th Brazilian Symposium on Multimedia and Web Systems, 2008

Personalized Path Finding in Road Networks.
Proceedings of the NCM 2008, The Fourth International Conference on Networked Computing and Advanced Information Management, Gyeongju, Korea, September 2-4, 2008, 2008

2007
Classification of Breast Masses in Mammogram Images Using Ripley's K Function and Support Vector Machine.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 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

A Service-Oriented Architecture for Progressive Transmission of Maps.
Proceedings of the IX Brazilian Symposium on Geoinformatics, 2007

Lung Structure Classification Using 3D Geometric Measurements and SVM.
Proceedings of the Progress in Pattern Recognition, 2007

2006
Classification of Normal, Benign and Malignant Tissues Using Co-occurrence Matrix and Bayesian Neural Network in Mammographic Images.
Proceedings of the SBRN 2006, 2006

Semivariogram Applied for Classification of Benign and Malignant Tissues in Mammography.
Proceedings of the Image Analysis and Recognition, Third International Conference, 2006

A Progressive Transmission Scheme for Vector Maps in Low-Bandwidth Environments Based on Device Rendering.
Proceedings of the Advances in Conceptual Modeling - Theory and Practice, 2006

2005
Comparison of FLDA, MLP and SVM in Diagnosis of Lung Nodule.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Diagnosis of Lung Nodule Using Reinforcement Learning and Geometric Measures.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Semivariogram and SGLDM Methods Comparison for the Diagnosis of Solitary Lung Nodule.
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005

Migratool: Towards a Web-Based Spatial Database Migration Tool.
Proceedings of the 16th International Workshop on Database and Expert Systems Applications (DEXA 2005), 2005

On Performance Evaluation of Web GIS Applications.
Proceedings of the 16th International Workshop on Database and Expert Systems Applications (DEXA 2005), 2005

2004
Using Open Source GIS in e-Government Applications.
Proceedings of the Electronic Government: Third International Conference, 2004

A Multiresolution Approach for Internet GIS Applications.
Proceedings of the 15th International Workshop on Database and Expert Systems Applications (DEXA 2004), with CD-ROM, 30 August, 2004

2001
Um MéToDo para a CompressãO de Dados VoluméTricos Baseado na Transformada do Cosseno Local.
PhD thesis, 2001


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