11 citations · 14 across the 4 of their papers we have counts for
4 papers
Post-Hoc Feature Selection Layer for Neural Networks Interpretability
João Kenji Suwa, João Pedro Silveira e Silva, Bruno Iochins Grisci
The interpretability of complex neural networks remains a critical challenge, especially for models already deployed in high-stakes domains. To address this, we adapted the Feature…
A Feature Selection Layer Approach for Multi-Class Classification on Neural Networks
João Pedro Silveira e Silva, Márcio Dorn, Bruno Iochins Grisci
In the age of data-driven decision-making, deep learning models have become powerful tools for uncovering patterns and making predictions that influence many aspects of society. Ho…
Perspectives on risk prioritization of data center vulnerabilities using rank aggregation and multi-objective optimization
Bruno Grisci, Gabriela Kuhn, Felipe Colombelli +10
Nowadays, data has become an invaluable asset to entities and companies, and keeping it secure represents a major challenge. Data centers are responsible for storing data provided…
Neuroevolution of Neural Network Architectures Using CoDeepNEAT and Keras
Jonas da Silveira Bohrer, Bruno Iochins Grisci, Marcio Dorn
Machine learning is a huge field of study in computer science and statistics dedicated to the execution of computational tasks through algorithms that do not require explicit instr…