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20192021
most citedSeismic Shot Gather Noise Localization Using a Multi-Scale Feature-Fusion-Based Neural Network

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2021

Generating Data Augmentation samples for Semantic Segmentation of Salt Bodies in a Synthetic Seismic Image Dataset

Luis Felipe Henriques, Sérgio Colcher, Ruy Luiz Milidiú +2

Nowadays, subsurface salt body localization and delineation, also called semantic segmentation of salt bodies, are among the most challenging geophysicist tasks. Thus, identifying…

cs.LG2020

Prior Flow Variational Autoencoder: A density estimation model for Non-Intrusive Load Monitoring

Luis Felipe M. O. Henriques, Eduardo Morgan, Sergio Colcher +1

Non-Intrusive Load Monitoring (NILM) is a computational technique to estimate the power loads' appliance-by-appliance from the whole consumption measured by a single meter. In this…

cs.CV20202 cited

Seismic Shot Gather Noise Localization Using a Multi-Scale Feature-Fusion-Based Neural Network

Antonio José G. Busson, Sérgio Colcher, Ruy Luiz Milidiú +2

Deep learning-based models, such as convolutional neural networks, have advanced various segments of computer vision. However, this technology is rarely applied to seismic shot gat…

cs.CV2019

A Deep Convolutional Network for Seismic Shot-Gather Image Quality Classification

Eduardo Betine Bucker, Antonio José Grandson Busson, Ruy Luiz Milidiú +3

Deep Learning-based models such as Convolutional Neural Networks, have led to significant advancements in several areas of computing applications. Seismogram quality assurance is a…

cs.LG2019

Cumulative Sum Ranking

Ruy Luiz Milidiú, Rafael Henrique Santos Rocha

The goal of Ordinal Regression is to find a rule that ranks items from a given set. Several learning algorithms to solve this prediction problem build an ensemble of binary classif…