Search Results - "Passos, Leandro. A."
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1
Intelligent Network Security Monitoring Based on Optimum-Path Forest Clustering
Published in IEEE network (01-03-2019)“…Distinguishing outliers from normal data in wireless sensor networks has been a big challenge in the anomaly detection domain, mostly due to the nature of the…”
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2
Tabular data augmentation for video-based detection of hypomimia in Parkinson’s disease
Published in Computer methods and programs in biomedicine (01-10-2023)“…•A machine-learning based system that detects Parkinson’s disease facial expressions.•Overcoming data bias due to data augmentation in unbalanced datasets…”
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3
Facial expressions to identify post-stroke: A pilot study
Published in Computer methods and programs in biomedicine (01-06-2024)“…Timely stroke treatment can limit brain damage and improve outcomes, which depends on early recognition of the symptoms. However, stroke cases are often missed…”
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4
A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic
Published in IEEE transactions on fuzzy systems (01-12-2020)“…In the past decades, fuzzy logic has played an essential role in many research areas. Alongside, graph-based pattern recognition has shown to be of great…”
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5
Computer-assisted Parkinson's disease diagnosis using fuzzy optimum- path forest and Restricted Boltzmann Machines
Published in Computers in biology and medicine (01-04-2021)“…Parkinson's disease (PD) is a progressive neurodegenerative illness associated with motor skill disorders, affecting thousands of people, mainly elderly,…”
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Assisting Barrett's esophagus identification using endoscopic data augmentation based on Generative Adversarial Networks
Published in Computers in biology and medicine (01-11-2020)“…Barrett's esophagus figured a swift rise in the number of cases in the past years. Although traditional diagnosis methods offered a vital role in early-stage…”
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7
Layer-selective deep representation to improve esophageal cancer classification
Published in Medical & biological engineering & computing (01-11-2024)“…Even though artificial intelligence and machine learning have demonstrated remarkable performances in medical image computing, their accountability and…”
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A review of deep learning‐based approaches for deepfake content detection
Published in Expert systems (01-08-2024)“…Recent advancements in deep learning generative models have raised concerns as they can create highly convincing counterfeit images and videos. This poses a…”
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DeepCraftFuse: visual and deeply-learnable features work better together for esophageal cancer detection in patients with Barrett’s esophagus
Published in Neural computing & applications (01-06-2024)“…Limitations in computer-assisted diagnosis include lack of labeled data and inability to model the relation between what experts see and what computers learn…”
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10
Barrett’s esophagus analysis using infinity Restricted Boltzmann Machines
Published in Journal of visual communication and image representation (01-02-2019)“…•Infinity Restricted Boltzmann Machines (IRBMs) optimized through meta-heuristic techniques.•IRBMs applied to computer-assisted Barrett’s esohagus…”
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11
FEMa-FS: Finite Element Machines for Feature Selection
Published in 2022 26th International Conference on Pattern Recognition (ICPR) (21-08-2022)“…Identifying anomalies has become one of the primary strategies towards security and protection procedures in computer networks. In this context, machine…”
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Conference Proceeding -
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Unsupervised Breast Masses Classification through Optimum-Path Forest
Published in 2015 IEEE 28th International Symposium on Computer-Based Medical Systems (01-06-2015)“…Computer-Aided Diagnosis (CAD) can be divided into two main categories: CADe (Computer-Aided Detection), which is focused on the detection of structures of…”
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Conference Proceeding Journal Article -
13
A Historic-Best Particle Swarm Optimization Approach for Trust-based Routing in Smart Grid Networks
Published in 2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP) (27-06-2023)“…The increasing energy demand and distributed generation required the electric power grid's modernization and paved the way for Smart Grid Networks (SGN). Such…”
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Conference Proceeding -
14
Temporal Dengue Outbreak Prediction from Climatic Variables using Finite Element Machines for Regression
Published in 2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP) (27-06-2023)“…The global burden of dengue, a mosquito-borne viral infection, has alarmingly increased in recent decades. The rise in disease occurrence is mainly attributed…”
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Conference Proceeding -
15
DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification
Published in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (11-07-2021)“…Research on remote sensing image classification significantly impacts essential human routine tasks such as urban planning and agriculture. Nowadays, the rapid…”
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Conference Proceeding -
16
Multimodal audio-visual information fusion using canonical-correlated Graph Neural Network for energy-efficient speech enhancement
Published in Information fusion (01-02-2023)Get full text
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17
ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization
Published in 2022 29th International Conference on Systems, Signals and Image Processing (IWSSIP) (01-06-2022)“…Complex wounds usually face partial or total loss of skin thickness, healing by secondary intention. They can be acute or chronic, figuring infections,…”
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Conference Proceeding -
18
Deep Regressor Networks for Blind Image Deblurring
Published in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (11-07-2021)“…Image restoration concerns mainly smoothing noise and de-blurring images that were corrupted either during acquisition or transmission. Since traditional…”
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Conference Proceeding -
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A comprehensive study among distance measures on supervised optimum-path forest classification
Published in Applied soft computing (01-10-2024)“…Supervised pattern classification relies on a labeled training set to learn decision boundaries that separate samples from different classes. Such samples can…”
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From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks
Published in 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (05-12-2021)“…In the last decade, exponential data growth supplied machine learning-based algorithms' capacity and enabled their usage in daily-life activities…”
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Conference Proceeding