245 citations · 383 across the 21 of their papers we have counts for
4 papers · 1 filter
1D Convolutional neural networks and machine learning algorithms for spectral data classification with a case study for Covid-19
Breno Aguiar Krohling, Renato A Krohling
Machine and deep learning algorithms have increasingly been applied to solve problems in various areas of knowledge. Among these areas, Chemometrics has been benefited from the app…
Solving integer multi-objective optimization problems using TOPSIS, Differential Evolution and Tabu Search
Renato A. Krohling, Erick R. F. A. Schneider
This paper presents a method to solve non-linear integer multiobjective optimization problems. First the problem is formulated using the Technique for Order Preference by Similarit…
Application of Genetic Algorithms to the Multiple Team Formation Problem
Jose G. M. Esgario, Iago E. da Silva, Renato A. Krohling
Allocating of people in multiple projects is an important issue considering the efficiency of groups from the point of view of social interaction. In this paper, based on previous…
Restricted Boltzmann machine to determine the input weights for extreme learning machines
Andre Pacheco, Renato Krohling, Carlos da Silva
The Extreme Learning Machine (ELM) is a single-hidden layer feedforward neural network (SLFN) learning algorithm that can learn effectively and quickly. The ELM training phase assi…