1 citations · 2 across the 3 of their papers we have counts for
3 papers
Enhancing Hyper-To-Real Space Projections Through Euclidean Norm Meta-Heuristic Optimization
Luiz C. F. Ribeiro, Mateus Roder, Gustavo H. de Rosa +2
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 th…
A Probabilistic Optimum-Path Forest Classifier for Binary Classification Problems
Silas E. N. Fernandes, Danillo R. Pereira, Caio C. O. Ramos +2
Probabilistic-driven classification techniques extend the role of traditional approaches that output labels (usually integer numbers) only. Such techniques are more fruitful when d…
Temperature-Based Deep Boltzmann Machines
Leandro Aparecido Passos Junior, Joao Paulo Papa
Deep learning techniques have been paramount in the last years, mainly due to their outstanding results in a number of applications, that range from speech recognition to face-base…