1.1k citations · 2.3k across the 40 of their papers we have counts for
4 papers · 1 filter
Improving Pre-Trained Weights Through Meta-Heuristics Fine-Tuning
Gustavo H. de Rosa, Mateus Roder, João Paulo Papa +1
Machine Learning algorithms have been extensively researched throughout the last decade, leading to unprecedented advances in a broad range of applications, such as image classific…
Hierarchical Learning Using Deep Optimum-Path Forest
Luis C. S. Afonso, Clayton R. Pereira, Silke A. T. Weber +3
Bag-of-Visual Words (BoVW) and deep learning techniques have been widely used in several domains, which include computer-assisted medical diagnoses. In this work, we are interested…
Information Ranking Using Optimum-Path Forest
Nathalia Q. Ascenção, Luis C. S. Afonso, Danilo Colombo +2
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 natura…
A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks
Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro +2
With the advent of deep learning, the number of works proposing new methods or improving existent ones has grown exponentially in the last years. In this scenario, "very deep" mode…