Leandro A. Passos
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View article: Facial Expression Analysis in Parkinsons’s Disease Using Machine Learning: A Review
Facial Expression Analysis in Parkinsons’s Disease Using Machine Learning: A Review Open
Computerised facial expression analysis is performed for a range of social and commercial applications and more recently its potential in medicine such as to detect Parkinson’s Disease (PD) is emerging. This has possibilities for use in te…
View article: Bionerf: Biologically Plausible Neural Radiance Fields for View Synthesis
Bionerf: Biologically Plausible Neural Radiance Fields for View Synthesis Open
View article: Bionerf: Biologically Plausible Neural Radiance Fields for View Synthesis
Bionerf: Biologically Plausible Neural Radiance Fields for View Synthesis Open
View article: Video Assessment to Detect Amyotrophic Lateral Sclerosis
Video Assessment to Detect Amyotrophic Lateral Sclerosis Open
Introduction: Weakened facial movements are early-stage symptoms of amyotrophic lateral sclerosis (ALS). ALS is generally detected based on changes in facial expressions, but large differences between individuals can lead to subjectivity i…
View article: Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization Open
Deep learning applications for assessing medical images are limited because the datasets are often small and imbalanced. The use of synthetic data has been proposed in the literature, but neither a robust comparison of the different method…
View article: BioNeRF: Biologically Plausible Neural Radiance Fields for View Synthesis
BioNeRF: Biologically Plausible Neural Radiance Fields for View Synthesis Open
This paper presents BioNeRF, a biologically plausible architecture that models scenes in a 3D representation and synthesizes new views through radiance fields. Since NeRF relies on the network weights to store the scene's 3-dimensional rep…
View article: Convolutional Neural Networks and Image Patches for Lithological Classification of Brazilian Pre-Salt Rocks
Convolutional Neural Networks and Image Patches for Lithological Classification of Brazilian Pre-Salt Rocks Open
View article: A Review of Deep Learning-based Approaches for Deepfake Content Detection
A Review of Deep Learning-based Approaches for Deepfake Content Detection Open
Recent advancements in deep learning generative models have raised concerns as they can create highly convincing counterfeit images and videos.This poses a threat to people's integrity and can lead to social instability.To address this iss…
View article: FakeRecogna Anomaly: Fake News Detection in a New Brazilian Corpus
FakeRecogna Anomaly: Fake News Detection in a New Brazilian Corpus Open
View article: Feature Selection and Hyperparameter Fine-Tuning in Artificial Neural Networks for Wood Quality Classification
Feature Selection and Hyperparameter Fine-Tuning in Artificial Neural Networks for Wood Quality Classification Open
View article: A Multi-Class Probabilistic Optimum-Path Forest
A Multi-Class Probabilistic Optimum-Path Forest Open
View article: PL-kNN: A Python-based implementation of a parameterless <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e43" altimg="si5.svg"> <mml:mi>k</mml:mi> </mml:math> -Nearest Neighbors classifier
PL-kNN: A Python-based implementation of a parameterless -Nearest Neighbors classifier Open
View article: Canonical cortical graph neural networks and its application for speech enhancement in audio-visual hearing aids
Canonical cortical graph neural networks and its application for speech enhancement in audio-visual hearing aids Open
View article: Temporal Dengue Outbreak Prediction from Climatic Variables using Finite Element Machine for Regression
Temporal Dengue Outbreak Prediction from Climatic Variables using Finite Element Machine for Regression Open
The global burden of dengue, a mosquito-borne viral infection, has alarmingly increased in recent decades. The rise in disease occurrence is mainly attributed to changes in the climate, human ecology, globalization, and demography. In such…
View article: Multimodal Speech Enhancement Using Burst Propagation
Multimodal Speech Enhancement Using Burst Propagation Open
This paper proposes the MBURST, a novel multimodal solution for audio-visual speech enhancements that consider the most recent neurological discoveries regarding pyramidal cells of the prefrontal cortex and other brain regions. The so-call…
View article: FEMa-FS: Finite Element Machines for Feature Selection
FEMa-FS: Finite Element Machines for Feature Selection Open
Identifying anomalies has become one of the primary strategies towards\nsecurity and protection procedures in computer networks. In this context,\nmachine learning-based methods emerge as an elegant solution to identify such\nscenarios and…
View article: ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization
ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization Open
Complex wounds usually face partial or total loss of skin thickness, healing\nby secondary intention. They can be acute or chronic, figuring infections,\nischemia and tissue necrosis, and association with systemic diseases. Research\ninsti…
View article: PL-k NN: A Parameterless Nearest Neighbors Classifier
PL-k NN: A Parameterless Nearest Neighbors Classifier Open
Demands for minimum parameter setup in machine learning models are desirable\nto avoid time-consuming optimization processes. The $k$-Nearest Neighbors is\none of the most effective and straightforward models employed in numerous\nproblems…
View article: Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization Open
Deep learning applications for assessing medical images are limited because the datasets are often small and imbalanced. The use of synthetic data has been proposed in the literature, but neither a robust comparison of the different method…
View article: Intelligent IoT Security Monitoring based on Fuzzy Optimum-Path Forest Classifier
Intelligent IoT Security Monitoring based on Fuzzy Optimum-Path Forest Classifier Open
The detection of intrusions in IoT networks is essen- tial to maintain the availability and integrity of data transmitted and generated by devices connected to these networks. This is primarily when the data originates from critical activi…
View article: MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural Networks
MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural Networks Open
In the last decade, exponential data growth supplied the machine learning-based algorithms' capacity and enabled their usage in daily life activities. Additionally, such an improvement is partially explained due to the advent of deep learn…
View article: Handling imbalanced datasets through Optimum-Path Forest
Handling imbalanced datasets through Optimum-Path Forest Open
View article: A Review of Deep Learning-based Approaches for Deepfake Content Detection
A Review of Deep Learning-based Approaches for Deepfake Content Detection Open
Recent advancements in deep learning generative models have raised concerns as they can create highly convincing counterfeit images and videos. This poses a threat to people's integrity and can lead to social instability. To address this i…
View article: Gait Recognition Based on Deep Learning: A Survey
Gait Recognition Based on Deep Learning: A Survey Open
In general, biometry-based control systems may not rely on individual expected behavior or cooperation to operate appropriately. Instead, such systems should be aware of malicious procedures for unauthorized access attempts. Some works ava…
View article: A Comprehensive Study Among Distance Measures on Supervised Optimum-Path Forest Classification
A Comprehensive Study Among Distance Measures on Supervised Optimum-Path Forest Classification Open
View article: Multimodal Audio-Visual Information Fusion Using Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement
Multimodal Audio-Visual Information Fusion Using Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement Open
View article: From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks
From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks Open
In the last decade, exponential data growth supplied machine learning-based\nalgorithms' capacity and enabled their usage in daily-life activities.\nAdditionally, such an improvement is partially explained due to the advent of\ndeep learni…
View article: DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification
DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification Open
Research on remote sensing image classification significantly impacts\nessential human routine tasks such as urban planning and agriculture. Nowadays,\nthe rapid advance in technology and the availability of many high-quality\nremote sensi…
View article: Reinforcing learning in Deep Belief Networks through nature-inspired optimization
Reinforcing learning in Deep Belief Networks through nature-inspired optimization Open
View article: Computer-assisted Parkinson's disease diagnosis using fuzzy optimum- path forest and Restricted Boltzmann Machines
Computer-assisted Parkinson's disease diagnosis using fuzzy optimum- path forest and Restricted Boltzmann Machines Open