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Found 17 papers, 5 papers with code
Enhancing Hyper-To-Real Space Projections Through Euclidean Norm Meta-Heuristic Optimization
The continuous computational power growth in the last decades has made solving several optimization problems significant to humankind a tractable task; however, tackling some of them remains a challenge due to the overwhelming amount of candidate solutions to be evaluated, even by using sophisticated algorithms.
Video Segmentation Learning Using Cascade Residual Convolutional Neural Network
Video segmentation consists of a frame-by-frame selection process of meaningful areas related to foreground moving objects.
Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks
Such architecture design directly impacts on the quality of the detection results, and also in the device resources capacity, like memory.
DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification
Research on remote sensing image classification significantly impacts essential human routine tasks such as urban planning and agriculture.
FEMa-FS: Finite Element Machines for Feature Selection
Identifying anomalies has become one of the primary strategies towards security and protection procedures in computer networks.
From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks
In the last decade, exponential data growth supplied machine learning-based algorithms' capacity and enabled their usage in daily-life activities.
ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization
Complex wounds usually face partial or total loss of skin thickness, healing by secondary intention.
A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic
In the past decades, fuzzy logic has played an essential role in many research areas.
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization
We employed the STARE dataset for external validation, ensuring a comprehensive assessment of the proposed approach.
MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural Networks
In the last decade, exponential data growth supplied the machine learning-based algorithms' capacity and enabled their usage in daily life activities.
Hierarchical Learning Using Deep Optimum-Path Forest
Bag-of-Visual Words (BoVW) and deep learning techniques have been widely used in several domains, which include computer-assisted medical diagnoses.
Information Ranking Using Optimum-Path Forest
The task of learning to rank has been widely studied by the machine learning community, mainly due to its use and great importance in information retrieval, data mining, and natural language processing.
Learning Visual Representations with Optimum-Path Forest and its Applications to Barrett's Esophagus and Adenocarcinoma Diagnosis
In this work, we introduce the unsupervised Optimum-Path Forest (OPF) classifier for learning visual dictionaries in the context of Barrett's esophagus (BE) and automatic adenocarcinoma diagnosis.
Energy-based Dropout in Restricted Boltzmann Machines: Why not go random
Deep learning architectures have been widely fostered throughout the last years, being used in a wide range of applications, such as object recognition, image reconstruction, and signal processing.
$\text{O}^2$PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection
Breast cancer is among the most deadly diseases, distressing mostly women worldwide.
Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines
Machine Learning has been applied in a wide range of tasks throughout the last years, ranging from image classification to autonomous driving and natural language processing.
Opytimizer: A Nature-Inspired Python Optimizer
Optimization aims at selecting a feasible set of parameters in an attempt to solve a particular problem, being applied in a wide range of applications, such as operations research, machine learning fine-tuning, and control engineering, among others.
