Publications

DeepWave: A Software Stack for Parallelizing Deep Learning Models Used in Geophysics
This paper introduces DeepWave, a novel software stack, and methodology designed to integrate generative artificial intelligence into …
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Who are the best passing players in professional soccer? A machine learning approach for classifying passes with different levels of difficulty and discriminating the best passing players
The present study aimed to assess the use of technical-tactical variables and machine learning (ML) classifiers in the automatic …
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Extending the ICAT Metadata Catalogue to New Scientific Use Cases
The ICAT metadata catalogue is a flexible solution for managing scientific metadata and data from a wide variety of domains following …
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Between neurons and networks: investigating mesoscale brain connectivity in neurological and psychiatric disorders
The study of brain connectivity has been a cornerstone in understanding the complexities of neurological and psychiatric disorders. It …
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Assonant: A Beamline-Agnostic Event Processing Engine for Data Collection and Standardization
Synchrotron radiation facilities comprise beamlines designed to perform a wide range of X-ray experimental techniques which require …
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The PlastOPol system for marine litter monitoring by citizen scientists
Marine plastic pollution has in recent decades become ubiquitous, posing threats to flora, fauna, and potentially human health. Proper …
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From micro- to nano- and time-resolved x-ray computed tomography: Bio-based applications, synchrotron, synchrotron capabilities, and data-driven processing
X-ray computed microtomography (μCT) is an innovative and nondestructive versatile technique that has been used extensively to …
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Toward characterizing cardiovascular fitness using machine learning based on unobtrusive data
Cardiopulmonary exercise testing (CPET) is a non-invasive approach to measure the maximum oxygen uptake (V˙O2−max), which is an index …
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Using machine learning pipeline to predict entry into the attack zone in football
Sports sciences are increasingly data-intensive nowadays since computational tools can extract information from large amounts of data …
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Criterion validity of neural networks to assess lower limb motion during cycling
The use of marker-less methods to automatically obtain kinematics of movement is expanding but validity to high-velocity tasks such as …
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Classification and determinants of passing difficulty in soccer: a multivariate approach
Introduction Usually, the players’ or teams’ efficiency to perform passes is measured in terms of accuracy. The degree of difficulty of …
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Annotat3D: A Modern Web Application for Interactive Segmentation of Volumetric Images at Sirius/LNLS
Recent advances in machine learning and scientific visualization have revolutionized the industry with novel applications and services …
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Complex Network Model Reveals the Impact of Inspiratory Muscle Pre-Activation on Interactions among Physiological Responses and Muscle Oxygenation during Running and Passive Recovery
Although several studies have focused on the adaptations provided by inspiratory muscle (IM) training on physical demands, the warm-up …
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Validity of Neural Networks to Determine Body Position on the Bicycle
ABSTRACTPurpose: With the increased access to neural networks trained to estimate body segments from images and videos, this study …
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Litter Detection with Deep Learning: A Comparative Study
Pollution in the form of litter in the natural environment is one of the great challenges of our times. Automated litter detection can …
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Complex networks analysis reinforces centrality hematological role on aerobic--anaerobic performances of the Brazilian Paralympic endurance team after altitude training
This study investigated the 30-days altitude training (2500 m, LHTH-live and training high) on hematological responses and …
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Characterization and analyses of dribbling actions in soccer: a novel definition and effectiveness of dribbles in the 2018 FIFA World Cup RussiaTM
Dribbling is a meaningful skill in soccer, due to its effectiveness to create opportunities for scoring. Several studies analyzed …
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Automatic Markerless Motion Detector Method against Traditional Digitisation for 3-Dimensional Movement Kinematic Analysis of Ball Kicking in Soccer Field Context
Kicking is a fundamental skill in soccer that often contributes to match outcomes. Lower limb movement features (e.g., joint position …
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Sport action mining: Dribbling recognition in soccer
Recent advances in Computer Vision and Machine Learning empowered the use of image and positional data in several high-level analyses …
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Complex network model indicates a positive effect of inspiratory muscles pre-activation on performance parameters in a judo match
This study investigated the effects of inspiratory muscle pre-activation (IMPA) on the interactions among the technical-tactical, …
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Measuring economic activity from space: a case study using flying airplanes and COVID-19
This work introduces a novel solution to measure economic activity through remote sensing for a wide range of spatial areas. We …
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Pelee-Text++: A Tiny Neural Network for Scene Text Detection
Scene text detection has become an important field in the computer vision area due to the increasing number of applications. This is a …
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Performance-level indicators of male elite handball teams
The aim of this study was to identify the most relevant variables to characterise the performance level of the teams through …
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Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation
Stereo vision is a growing topic in computer vision due to the innumerable opportunities and applications this technology offers for …
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Application-oriented retinal image models for computer vision
Energy and storage restrictions are relevant variables that software applications should be concerned about when running in low-power …
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A Multirepresentational Fusion of Time Series for Pixelwise Classification
This article addresses the pixelwise classification problem based on temporal profiles, which are encoded in 2-D representations based …
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On the Fusion of Text Detection Results: A Genetic Programming Approach
Hundreds of text detection methods have been proposed, motivated by their widespread use in several applications. Despite the huge …
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Leveraging Shape, Reflectance and Albedo From Shading for Face Presentation Attack Detection
Presentation attack detection is a challenging problem that aims at exposing an impostor user seeking to deceive the authentication …
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The Rise of Data-Driven Models in Presentation Attack Detection
Biometric systems are prevalent in access control but are vulnerable to frauds. A typical attempt of violating them is through …
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MobText: A Compact Method for Scene Text Localization
Multiple research initiatives have been reported to yield highly effective results for the text detection problem. However, most of …
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Pelee-Text: A Tiny Convolutional Neural Network for Multi-oriented Scene Text Detection
Nowadays, scene text detection has received a lot of attention due to its complexity given variations in terms of orientations, font …
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Multi-Lingual Text Localization via Language-Specific Convolutional Neural Networks
Localização e Reconhecimento de texto em cena é um tópico em visão computacional que objetiva delimitar regiões candidatas em uma …
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Ensemble of Multi-View Learning Classifiers for Cross-Domain Iris Presentation Attack Detection
The adoption of large-scale iris recognition systems around the world has brought to light the importance of detecting presentation …
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Image Provenance Analysis at Scale
Prior art has shown it is possible to estimate, through image processing and computer vision techniques, the types and parameters of …
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Analysis of intrinsic and extrinsic properties of biometric samples for presentation attack detection
Recent advances in biometrics, information forensics, and security have improved the recognition effectiveness of biometric systems. …
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Deep Learning in Biometrics
This chapter explores data-driven approaches to presentation attack detection for three biometric modalities: face, iris, and …
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U-Phylogeny: Undirected provenance graph construction in the wild
Deriving relationships between images and tracing back their history of modifications are at the core of Multimedia Phylogeny …
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Spotting the difference: Context retrieval and analysis for improved forgery detection and localization
As image tampering becomes ever more sophisticated and commonplace, the need for image forensics algorithms that can accurately and …
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Provenance filtering for multimedia phylogeny
Departing from traditional digital forensics modeling, which seeks to analyze single objects in isolation, multimedia phylogeny …
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Face Spoofing Detection Through Visual Codebooks of Spectral Temporal Cubes
Despite important recent advances, the vulnerability of biometric systems to spoofing attacks is still an open problem. Spoof attacks …
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Using Visual Rhythms for Detecting Video-Based Facial Spoof Attacks
Spoofing attacks or impersonation can be easily accomplished in a facial biometric system wherein users without access privileges …
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Deep Representations for Iris, Face, and Fingerprint Spoofing Detection
Biometrics systems have significantly improved person identification and authentication, playing an important role in personal, …
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A countermeasure method for video-based face spoofing attacks
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The 2nd competition on counter measures to 2D face spoofing attacks
As a crucial security problem, anti-spoofing in biometrics, and particularly for the face modality, has achieved great progress in the …
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Video-Based Face Spoofing Detection through Visual Rhythm Analysis
Recent advances on biometrics, information forensics, and security have improved the accuracy of biometric systems, mainly those based …
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VII Escola Regional de Informática de Minas Gerais
An astonishing number of digital documents, such as digital pictures, videos, text files, etc., are daily produced and broadcasted. …
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ChipCflow - Uma Ferramenta para execução de Algoritmos Utilizando o Modelo a Fluxo de Dados Dinâmico em Hardware Reconfigurável-Circuito Matching e Instancias
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