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Found 6 papers, 3 papers with code
Feature Selection and Hyperparameter Fine-tuning in Artificial Neural Networks for Wood Quality Classification
The predictive performance of the model was compared against five baseline methods as well as a random search, performing either ANN hyperparameter tuning and feature selection.
PL-kNN: A Parameterless Nearest Neighbors Classifier
Demands for minimum parameter setup in machine learning models are desirable to avoid time-consuming optimization processes.
Handling Imbalanced Datasets Through Optimum-Path Forest
Such a behavior yields considerable influence on the machine learning model's performance since it becomes biased on the more frequent data it receives.
Multimodal Audio-Visual Information Fusion using Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement
Our proposed AV CCA-GNN model deals with multimodal representation learning context.
A Metaheuristic-Driven Approach to Fine-Tune Deep Boltzmann Machines
Deep learning techniques, such as Deep Boltzmann Machines (DBMs), have received considerable attention over the past years due to the outstanding results concerning a variable range of domains.
$\text{O}^2$PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection
Breast cancer is among the most deadly diseases, distressing mostly women worldwide.
