research
∙
06/15/2021
Generating Data Augmentation samples for Semantic Segmentation of Salt Bodies in a Synthetic Seismic Image Dataset
Nowadays, subsurface salt body localization and delineation, also called...
share
research
∙
11/30/2020
Prior Flow Variational Autoencoder: A density estimation model for Non-Intrusive Load Monitoring
Non-Intrusive Load Monitoring (NILM) is a computational technique to est...
research
∙
07/23/2020
SeismoGlow – Data augmentation for the class imbalance problem
In several application areas, such as medical diagnosis, spam filtering,...
research
∙
05/07/2020
Seismic Shot Gather Noise Localization Using a Multi-Scale Feature-Fusion-Based Neural Network
Deep learning-based models, such as convolutional neural networks, have ...
research
∙
12/03/2019
A Deep Convolutional Network for Seismic Shot-Gather Image Quality Classification
Deep Learning-based models such as Convolutional Neural Networks, have l...
research
∙
11/25/2019
Cumulative Sum Ranking
The goal of Ordinal Regression is to find a rule that ranks items from a...
research
∙
11/10/2019
A Multimodal CNN-based Tool to Censure Inappropriate Video Scenes
Due to the extensive use of video-sharing platforms and services for the...
research
∙
08/13/2019