About this event

The rapid technological development of hardware, especially professional cameras and smartphones has driven the demand for solutions to our day-to-day entertainment, security, industrial production and medicine. Consequently, the area of Computer Vision has grown, becoming a strategic demand in any country.

Under this context the WVC’2019 - XV Workshop on Computational Vision - brings to the discussion works developed in Universities and Centers of Research worldwide, aiming to boost research groups in this área in the generation of ideas and in the divulgation of work done or in progress. We hope, therefore, that the effort of each one of us in the organization of this event, is a demonstration that science and technology have a promising future in our country. The WVC'2019 will host several activities aimed primarily at disseminating and analyzing the growth of the area of computer vision worldwide. Test

CTDVC 2019

About this event

The 2nd Contest of Thesis and Dissertations in Computer Vision (Concurso de Teses e Dissertações em Visão Computacional - CTDVC 2019) aims to disseminate postgraduate research in the fields of Computer Vision and Image Processing awarding the best doctoral theses and master's dissertations completed, defended and approved in Brazil in the last year.

The theses and dissertations will be selected for publication and presentation based on their impact for society and for companies, as well as a significant and outstanding contribution to the scientific area.


Up to six papers corresponding to the three best doctoral theses and the three best master's dissertations will be awarded. These works must necessarily be presented by the author at the XV Workshop de Visão Computacional (WVC 2019), in a special session.


Doctors and masters in any knowledge area can submit papers for this contest, as long as their research have been developed with Computer Vision and Image Processing. Their theses or dissertations must have been defended in Brazil, from January 1st, 2018 to June 30st, 2019*.

*Only theses or dissertations that have not been submitted for WVC 2018.


The abstract of all the works selected for the contest will be published in the proceedings of the event.

Submission of works

Candidates must submit their work electronically at: link for the submition, choosing the track corresponding to the work (Master's or Doctorate).

A file with the full text of the thesis or dissertation, in pdf format, should be sent.

For the works selected in the first stage, a copy of the certificate of completion and approval of the thesis / dissertation, issued by the Coordination of the Course, will be requested, stating the name of the postgraduate program, the date of the defense, the name(s) of the advisor(s), the members of the examination board, the name of the candidate and the title of the thesis / dissertation.


The selection will be based on the evaluation of the entire thesis / dissertation. The theses and dissertations submitted to the CTDVC 2019 will be evaluated by a committee composed of researchers with recognized experience in the area of Computational Vision and experience in orientation of theses and dissertations.

The Committee of Reviewers will be chosen after the date of submission of the works, so there will be no teachers with submitted works in the Committee.

Registration at the event

The authors of the selected works must be enrolled in the event, and the enrollment may be made in the graduate student category.

WVC 2019 Important Dates

  • Submission Open: April 01st, 2019
  • Deadline: May 16th extended to June 02nd
  • Notification of Acceptance: June 28nd, 2019 extended to July 05th, 2019

CTDVC 2019 Important Dates

  • Submission of thesis / dissertation: until June 16th, 2019 extended to July 30th, 2019
  • Notification of selected works: June 30th, 2019 extended to August 9th, 2019
  • Oral presentation by the finalists: during WVC 2019

Paper Submission

Topics of interest include (but are not limited to):

  • Images and Video Coding
  • Image/video analysis
  • Image/video filtering and restoration
  • Image/video registration
  • Image/video segmentation
  • Motion Detection and Tracking
  • Shape representation and matching
  • Surface Reconstruction and Representation
  • Projective Geometry and Computer Vision
  • Texture and Color in Computer Vision
  • Feature extraction
  • Feature Matching, Inference and Recognition
  • Pattern Recognition in Computer Vision
  • Cognitive models applied to Computer Vision Systems
  • Architectural models for Computer Vision
  • Design methods for systems of Vision
  • Case studies and Computer Vision systems analysis
  • Real-time Computer Vision
  • Facial and Hand Gesture Recognition
  • Biomedical imaging and visualization
  • Biometrics
  • Visual Inspection and Robotics
  • Visual Document processing and analysis
  • Content-based image retrieval (CBIR)

If you have any question and need further information, please feel free to contact us on the workshop email: wvc2019@fei.edu.br

Instructions for authors

  • The manuscript must be submitted electronically, as a PDF file.
  • The conference accepts articles written in English or Portuguese, but the manuscript title and abstract must be written in English.
  • The abstract should contain no more than 150 words, and the manuscript total length should not exceed 6 pages.
  • The manuscripts should be formatted using the following templates, which are blind-submission review-formatted templates ( link for the templates ).


All papers must be submitted electronically using the following link: ( link for submission ).


  • WVC 2019 reviewing is double blind, in that authors do not know the names of the area chair/reviewers of their papers, and area chairs/reviewers do not know the names of the authors
  • Avoid providing information that may identify the authors in the acknowledgments (e.g., co-workers and grant IDs).
  • Avoid providing links to websites that identify the authors. Violation of any of these guidelines will lead to rejection without review.
  • By submitting a manuscript to WVC 2019, the authors guarantee that it has not been previously published (or accepted for publication) in substantially similar form.
  • It is the authors' responsibility to ensure that all authors on their paper have registered their conflicts into CMT website. Conflicts are needed to resolve assignments to both reviewers and area chairs.

Paulo Sérgio

Professor do Centro Universitário FEI


Carlos Eduardo Thomaz

Professor do Centro Universitário FEI


Gilson Giraldi

LNCC (Laboratório Nacional de Computação Ciêntífica)


Jaime Cardoso

Universidade do Porto, Portugal

Flávio Tonidandel

Professor do Centro Universitário FEI

Publicity Chair

Guilherme Wachs

Professor do Centro Universitário FEI

Reinaldo Bianchi

Professor do Centro Universitário FEI

Danilo Perico

Professor do Centro Universitário FEI

Maurício Escarpinati

Professor da Universidade Federal de Uberlândia (UFU)

Aparecido Nilceu Marana

Professor da Universidade Estadual Paulista (UNESP)

Bruno Marques

Professor da Universidade Federal do Rio Grande do Norte (UFRN)

Evandro Luís Linhari

Professor da Universidade de São Paulo  (USP)

Hemerson Pistori

Professor da Universidade Católica Don Bosco (UCDB)

Marcelo Andrade

Professor da Universidade de São Paulo (USP)

Mauricio Marengoni

Professor da Universidade Presbiteriana Mackenzie

Program committee

  • Adilson Gonzaga, USP
  • Alexandre Levada, UFSCAR
  • Ana Martinez, UFU
  • Andre Backes, UFU
  • Angelo Duarte, UEFS
  • Antonio Apolinario, UFBA
  • Aparecido Marana, UNESP
  • Bruno Silva, UFRN
  • Bruno Travencolo, UFU
  • Carlos Thomaz, FEI
  • Cesar Pariente, UESC
  • Cid Santos, UFSCAR
  • Claudio Goes, UEFS
  • Cristina Vasconcelos, UFF
  • Daniel Abdala, UFU
  • Daniela Ushizima, LBNL, USA
  • Danilo Eler, UNESP
  • Danilo Perico, FEI
  • Deborah Fernandes, UFG
  • Dibio Borges, UNB
  • Evandro Rodrigues, USP
  • Gastao Miranda Junior, UFS
  • Gilson Giraldi, LNCC
  • Guilherme Wachs, FEI
  • Gustavo Borba, UTFPR
  • Helio Pedrini, UNICAMP
  • Hemerson Pistori, UCDB
  • Ialis de Paula, UFC
  • Ines Domingues, UC, Portugal
  • Isabel Harb Manssour, PUCRS
  • Jacques Facon, UFES
  • Jaime S. Cardoso, INESCTEC/UPORTO, Portugal
  • Joao Mari, UFV
  • Joao Papa, UNESP
  • Joao Sato, UFABC
  • Joao Tavares, UPORTO, Portugal
  • Jocival Dias Junior, UFU
  • Jorge Barbosa, UPORTO, Portugal
  • Jose Costa Pereira, INESCTEC, Portugal
  • Jose Castanho, UNESP
  • Julio Nievola, PUCPR
  • Jurandy Almeida, UNIFESP
  • Leandro Neves, UNESP
  • Leonardo Ferreira, FEI
  • Leonardo Matos, UFS
  • Lucas Oliveira, UFPR
  • Luciano Lulio, USP
  • Luis Alexandre, UBI, Portugal
  • Luiz Antonio Neves, UFPR
  • Luiz Marcos Goncalves, UFRN
  • Marcelo do Nascimento, UFU
  • Marcelo Oliveira, UFAL
  • Marcelo Vieira, USP
  • Marcelo Zanchetta do Nascimento, UFU
  • Marcio Marques, UNESP
  • Mauricio Galo, UNESP
  • Mauricio Marengoni, UPM
  • Maximiliam Luppe, USP
  • Nelson Mascarenhas, UFSCAR
  • Olga Bellon, UFPR
  • Paulo Ambrosio, UESC
  • Paulo Rosa, IME
  • Paulo Sergio Rodrigues, FEI
  • Pedro Abreu, UC, Portugal
  • Rafael Gomes, UFRN
  • Rafael Santos, INPE
  • Raissa Vieira, USP
  • Reinaldo Bianchi, FEI
  • Sebastien Miellet, UOW, Australia
  • Thiago Ribeiro, UFU
  • William Schwartz, UFMG
São Paulo, Brazil

Dra. Ruth Guinsburg

Department of Pediatrics, UNIFESP

Graduada em Medicina, mestrado em Pediatria e Ciências Aplicadas à Pediatria, doutorado em Pediatria e Ciências Aplicadas à Pediatria e Livre-Docência em Pediatria. É orientadora do programa de Pediatria e Ciências Aplicadas à Pediatria da Universidade Federal de São Paulo. Obteve o Título de Especialista em Pediatria e o de Habilitação na área de Neonatologia. É professora Titular da Disciplina de Pediatria Neonatal do Departamento de Pediatria da Universidade Federal de São Paulo. Exerce a coordenação geral da UTI Neonatal do Hospital São Paulo e a chefia da Disciplina de Pediatria Neonatal. É coordenadora do Programa de Reanimação Neonatal da Sociedade Brasileira de Pediatria. Editora Chefe da Revista Paulista de Pediatria, periódico científico da Sociedade de Pediatria de São Paulo, indexado à Medline em 2013 e à PubMed em 2014. É coordenadora da Rede Brasileira de Pesquisas Neonatais. É membro da Força Tarefa Neonatal do International Liaison Committee on Neonatal Resuscitation desde 2005.

Title: Challenges in neonatal pain assessment: Is there a role for a computer eye?

Abstract: Newborn infants are exposed to painful experiences that might increase their short and long-term morbidity and mortality, in addition to being associated with neurological developmental disorders. Improvements in this scenario require practical and efficacious methods of pain assessment, safer drugs, organisation of services allowing for the detection of flaws in the care provided, and continuous updating and sensitisation of neonatal care providers. Routine bedside assessment of pain in critically ill neonates is considered crucial for the proper management of pain, but inappropriate assessment of neonatal pain is an integral component of the under-treatment of pain in neonatal care units. Humans might perhaps be inherently flawed in the assessment of pain in others, and if that were indeed the case, then human-mediated pain assessment should be replaced by technology. The situation just depicted defines the context of the conference, which will discuss the possibility of replacing the human with a computer eye in the recognition of the facial expressions of pain in newborn infants.

Porto, Portugal

Dr. Jaime dos Santos Cardoso

Associate Professor with Habilitation, Faculdade de Engenharia da Universidade do Porto (FEUP)

Engenheiro Eletrotécnico e de Computadores, Mestre em Engenharia Matemática e Ph.D. em Visão Computacional, na Universidade do Porto, Portugal. Atualmente é Professor Associado com Habilitação na Faculdade de Engenharia da Universidade do Porto (FEUP), onde leciona Aprendizagem Automática e Visão Computacional em Programas de Doutoramento e múltiplos cursos de pós-graduação. É também o Coordenador do Centro de Telecomunicações e Multimídia do INESC TEC, e membro sênior do IEEE e cofundador da Cluster Media Labs - empresa de TI que desenvolve soluções automáticas para análise audiovisual semântica. Suas linhas de pesquisa podem ser resumidas em três tópicos principais: visão computacional, aprendizado de máquina e sistemas de apoio à decisão.

Title: Interpretable Machine Learning for Computer Vision

Abstract: Recent rapid progress in machine learning (ML), particularly so called 'deep learning' is leading to the fast and widespread adoption in people's daily lives. However, most of these ML systems, particularly ensemble and deep learning models, remain complex black boxes, which means that their internal logic and inner workings are hidden to the user, making it challenging to understand the rationale behind their predictions. New regulations, as well as highly regulated domains, have made the audit and verifiability of decisions mandatory, leading to a resurgence in interest in explainability of artificial intelligence (AI) systems, reviving an area of research dating back to the 1970s. In this talk, we give a brief overview of interpretable machine learning. After discussing the basic concepts, methodologies and metrics, we will review some of the key contributions in the field. Since the topic of interpretable machine learning is currently evolving very quickly, we will finalise by discussing the most promising research directions.

Minas Gerais, Brazil

Dr. Mário Fernando Campos

Universidade Federal de Minas Gerais

O Prof. Mário Fernando Campos é um dos nomes de maior destaque no Brasil em Visão Computacional e Robótica, sendo fundador e líder do VerLab (Vision Computer Laboratory). É graduado em Engenharia Civil pela Universidade Federal de Minas Gerais (UFMG) (1980), Mestrado em Ciência da Computação pela Universidade Federal de Minas Gerais (1984) e Doutor em Computer and Information Sciences - University of Pennsylvania (1992), na área de Robótica e Visão Computacional. É professor titular da Universidade Federal de Minas Gerais, onde foi coordenador do Programa de Pós-Graduação em Ciência da Computação (2007-2009), chefe do Departamento de Ciência da Computação (2013-2015), Pró-Reitor de Administração (2015-2018), Pró-Reitor de Pesquisa (2018-), membro do Conselho de Ensino, Pesquisa e Extensão (2009-2011; 2011-2013; 2018- ), membro do Conselho Curador da Fundação Mendes Pimentel (2008-2015), Representante Institucional DAI ? RID (2018- ). Foi coordenador executivo da Rede Internet Minas, a primeira rede acadêmica do Estado (1995-2001). Foi eleito Distinguished Lecturer da IEEE Robotics and Automation Society (2008) e da Comissão de Robótica da SBC (2013-). Suas áreas de atuação são Robótica e Visão Computacional.

    The registration system can be accessed in the following link: ( REGISTRATION ). Authors can register to the event following the instruction on the Registration Website. Information about payments via "Nota de Empenho" is available at the bottom of the Registration Website.

  • An early full registration of at least one author is required for each paper publication
  • The registration fee covers participation in the technical sessions, invited talks, tutorials, workshops, conference material and coffee breaks. It does not cover the Conference Dinner.
  • SBC members, Graduate and Undergraduate Students must show an oficial letter from his/her institution confirming the student status at the registration desk of the conference.
  • Any foreign citizen having problems with the registration system, may contact by email, psergio@fei.edu.br
  • At least one author of each accepted paper must register to WVC2019 and pay the registration fee before August 20th to have the paper included in the conference program and published in the proceedings.
  • Further instructions will be send to the authors.
  • In the table below, you can find the event registration fees:
Categories Until August 30th (R$) From August 31th until September 06nd (R$)
Professional 300 420
SBC Professional Member 240 330
Grad. Student 170 270
SBC Grad. Student Member 140 230
Undergrad Student 45 65
SBC - Undergrad. Student Member 30 55
Time/date Monday, September. 09 Tuesday, September. 10 Wednesday, September. 11
8:00 - 9:00 Checkin and on-site registration
9:00 - 10:00 Opening Cerimony ATOS/Wikitude Oral Section 3
10:00 - 10:30 Coffee Break
10:30 - 12:00 Keynote Speaker 1 Keynote Speaker 2 Keynote Speaker 3
12:00 - 14:00 Lunch
14:00 - 15:30 Oral Session 1 Oral Session 2 Oral Session 4
15:30 - 16:00 Coffee Break
16:00 - 17:30 CTDVC Poster Session Oral Section 5
17:30 - 18:30 Conference Meeting Closing Cerimony
18:30 - 23:00 Conference Dinner
Click Here to download the Complete Program in PDF
Keynote Speaker 1 Ruth Guinsburg
Keynote Speaker 2 Jaime S. Cardoso
Keynote Speaker 3 Mário F. Campos
CTDVC (Concurso de Teses e Dissertações em Visão Computacional) (September 09th, 16:00 - 18:00)
Title Authors
Underwater scene matching with acoustic images using deep learning Pedro O. C. S. Ribeiro and Paulo L. J. Drews
Active and descriptor learning techniques for image classification and retrieval Rafael S. Bressan, Pedro H. Bugatti and Priscila T. M. Saito
Movimentos oculares e percepção facial humana: Análises holística, configural e por características locais de imagens frontais de faces Victor P. L. Varela and Carlos E. Thomaz
Texture analysis using fractal descriptors estimated by the mutual interference of groups of colored pixels Andre Marasca, Dalcimar Casanova and Marcelo Teixeira
Multi-class discriminant analysis based on support vector machine ensembles Tiene Filisbino and Gilson A. Giraldi
An efficient hierarchical layered graph approach for multi-region segmentation Leissi M. C. Leon and Paulo A. V. Miranda
Adaptive face tracking based on online learning Aasim Khurshid and Jacob Scharcanski
Matching people in surveillance cameras network Raphael Prates and William R. Schwartz
Oral Session 1 - Image/Face Processing and Biometrics (September 09th, 14:00 - 15:30)
Title Authors
Variational Method Integrating Edge Detection and Smoothing in Digital Images Italo M. F. Santos, Abimael D. Loula, Gastão F. Miranda-Junior, Paulo S. S. Rodrigues and Gilson A. Giraldi
Evaluation of Fine Tuning and Feature Extraction Methods in Biometric Periocular Recognition William Barcellos, Nicolas H. Shitara, Carolina T. Ferraz, Raissa T. V. Queiroga, Jose H. Saito and Adilson Gonzaga
Facial Makeup Detection using the CMYK Color Model and Convolutional Neural Networks Marcello G. Bertacchi and Ismar F. Silveira
Person Authentication based on the Difference of Deep Features Extracted from the Ocular and Face Regions Marcelo V. Vizoni and Aparecido N. Marana
Atlas of Neonatal Face Images using Triangular Meshes Pedro A. S. S. Orona, Davi A. D. Fabbro, Tatiany M. Heiderich, Marina C. M. Barros, Rita C. X. Balda, Ruth Guinsburg and Carlos E. Thomaz
Alignment, Scale and Skew Correction for Optical Mark Recognition Documents Based Erik M. Elias, Paulo M. Tasinaffo and Roberto Hirata-Junior
Oral Session 2 - Visual Object Detection/Classification and Robotics (September 10th, 14:00 - 15:30)
Title Authors
Citrus Tree Classification from UAV Images: Analysis and Experimental Results Felipe K. Kobayashi, Andrea B. Mattos, Maysa M. G. Macedo and Bruno H. Gemignani
Using Syntactic Methods and LSTM to the Recognition of Objects Visual Patterns Gilberto Astolfi, Vanessa A. M. Weber, Adair S. Oliveira-Junior, Geazy V. Menezes, Nicolas A. S. Belete, Everton C. Tetila and Hemerson Pistori
A Tool for Bridge Detection in Major Infrastructure Works using Satellite Images Keiller Nogueira, Caio Cesar, Pedro H. T. Gama, Gabriel L. S. Machado, Jefersson A. Santos
A Bio-Inspired Strategy for 3D Surface Reconstruction of Unstructured Scenes Applied to Medical Imagens Murilo Bouzon, Guilherme Albertini, Gustavo Viana, Gabriel Medeiros and Paulo S. S. Rodrigues
Multi-Camera System Analysis for Autonomous Navigation using End-to-End Deep Learning José A. D. Amado, Jean Amaro, Iago P. Gomes, Denis Wolf and Fernando S. Osório
Development of a Robotic Sensing System to Assist Visually Impaired People in their Task of Locomotion in Urban Environments Diego R. Bruno, Marcelo H. Assis and Fernando S. Osório
Oral Session 3 - Deep Learning in Computer Vision Applications (September 11th, 09:00 - 10:00)
Title Authors
A Comparison Study of Deep Convolutional Neural Networks for the Classification of Brazilian Savannah Pollen Grains: Preliminary Results Bruno Aristimunha, Felipe S. B. Borges, Ariadne B. Gonçalves and Hemerson Pistori
Understanding Fully-Connected and Convolutional Layers in Unsupervised Learning using Face Imagens Lucas F. Buzuti and Carlos E. Thomaz
Real-time Ball Detection for Robocup Soccer using Convolutional Neural Networks Lucas R. Abreu and Reinaldo A. C. Bianchi
Automation of Waste Sorting with Deep Learning João Sousa, Ana Rebelo and Jaime S. Cardoso
Oral Session 4 - Deep Learning and Image/Video Analysis (September 11th, 14:00 - 15:30)
Title Authors
Coffee Leaf Rust Detection Using Convolutional Neural Network Alexandre P. Marcos, Natan L. S. Rodovalho and André R. Backes
Regression in Convolutional Neural Networks applied to Plant Leaf Counting Neemias B. Silva and Wesley N. Gonçalves
Pulmonary Nodule Classification with 3D Convolutional Neural Networks Anthony E. A. Jatobá, Lucas L. Lima and Marcelo C. Oliveira
Generative Adversarial Networks: A Renewal for Data Augmentation in Lung Nodule Classification Bruno H. L. dos Anjos, Anthony E. A. Jatobá and Marcelo C. Oliveira
Application of Superpixel to Identify Maggots and their Larval Stages Lucas R. Lima, Eudamara B. S. Acosta, Ariadne B. Gonçalves, Marcio C. B. Pache, Diego A. Sant’ana, Celso S. Costa, Hemerson Pistori, Alessandro S. Ferreira and Carina Elisei
Traffic Flow Classification using a Video Descriptor and a Convolutional Neural Network Matheus V. L. Ribeiro and Jorge L. A. Samatelo
Oral Session 5 - Cognitive and Intelligent Models Applied to Computer Vision Systems (September 11th, 16:00 - 17:00)
Title Authors
A Multivariate Correlation Assessment of Chess Proficiency using Brain Signals Laércio Silva-Junior and Carlos E. Thomaz
Coffee Leaf Rust Detection using Genetic Algorithm Alexandre P. Marcos, Natan L. S. Rodovalho and André R. Backes
Optimum-Path Forest in the Classification of Defects in Bovine Leather Willian P. Amorim, Felipe S. B. Borges, Marcio C. B. Pache, Marcelo H. Carvalho and Hemerson Pistori
Poster Session Papers (September 10th, 16:00 - 17:30)
Title Authors
Automatic Detection of Erythrocytes in Fishes using Clustering Segmentation and Supervised Learning Kleyton Leite, Felipe Silva, Bruno Crispim, Felipe Merey, Alexeia Barufatti and Willian Amorim
Retinal Image Multimodal and Multitemporal Registration for a Multispot Laser Photocoagulation Device Patricia Otoni and Evandro Rodrigues
A New Approach for Image Classification Applying Reduction of Colored Keypoints Marcelo Borth, Hemerson Pistori, Wesley Gonçalves, Diego Sant'Ana, Marcio Pache and Celso Costa
Visual Perception of Pain in Neonatal Face Images Lucas Carlini, Tatiany Heiderich, Marina Barros, Rita Balda, Ruth Guinsburg and Carlos Thomaz
Alternative Signatures based on Randomized Neural Network for Texture Classification Macário Leitão-Júnior and Jarbas Sá-Junior
Automatic Ocular Alignment Evaluation for Strabismus Detection Using Index of Phylogenetic Diversity and Support Vector Machine Thayane Simões, Johnatan Carvalho, João Almeida, Aristófanes Silva and Anselmo Paiva
Determination of number of termite mounds supported by computational vision Vanessa Weber, Fabricio Weber, Edilson Silveira, Gilberto Oliveira, Marcelo Folhes, Michel Oliveira and Hemerson Pistori
Automatic Localization of the Carotid Wall in Ultrasound Imaging Based on Convolutional Neural Network Eryk Cruz and Alexandre Silva
Tracking and Re-identification of People Using Soft-Biometrics Henrique Tavares, João Neto and Aparecido Marana
Image Stitching Using Non-Extensive Statistics Everton Acchetta, Helmuth Filho, Lucas Laheras, Vinicius Santos, Paulo Rodrigues and Guilherme Wachs
Use of Deep Learning for Firearms Detection in Images Guilherme Cardoso, Patrick Ciarelli and Raquel Vassallo
A Bio-Inspired Methodology for Digital Imaging Forensic Detection Giovanni Oliveira, Guilherme Santos, Fernando Prado, Rafael Serikaku, Ricardo Santos, Guilherme Wachs and Paulo Rodrigues
Image-based automatic counting of spotted fever-carrying tick larvae in vitro Weslley Figueredo, Isabella Sousa, João Diniz, Aristófanes Silva, Anselmo Paiva and Livio Costa- Junior
Classification of weed in soybean crops using unmanned aerial vehicle images Nícolas Belete, Everton Tetila, Gilberto Astolfi and Hemerson Pistori
Classification of brain lesions on magnetic resonance imaging using superpixel, PSO and convolutional neural network Carolina Cipriano, Giovanni Silva, Jonisson Ferreira, Aristófanes Silva and Anselmo Paiva
Visual Patterns in Reading Tasks: An Eye-Tracking Analysis of Meares-Irlen Syndrome Simulation Effects Rafael Orsi, Joao Romera, Rodrigo Filev and Carlos Thomaz

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