40 citations · 41 across the 2 of their papers we have counts for
5 papers
Semi-supervised deep learning based on label propagation in a 2D embedded space
Barbara Caroline Benato, Jancarlo Ferreira Gomes, Alexandru Cristian Telea +1
While convolutional neural networks need large labeled sets for training images, expert human supervision of such datasets can be very laborious. Proposed solutions propagate label…
Semi-Automatic Data Annotation guided by Feature Space Projection
Barbara Caroline Benato, Jancarlo Ferreira Gomes, Alexandru Cristian Telea +1
Data annotation using visual inspection (supervision) of each training sample can be laborious. Interactive solutions alleviate this by helping experts propagate labels from a few…
Supporting Optimal Phase Space Reconstructions Using Neural Network Architecture for Time Series Modeling
Lucas Pagliosa, Alexandru Telea, Rodrigo Mello
The reconstruction of phase spaces is an essential step to analyze time series according to Dynamical System concepts. A regression performed on such spaces unveils the relationshi…
Quantitative Comparison of Time-Dependent Treemaps
Eduardo Vernier, Max Sondag, Joao Comba +3
Rectangular treemaps are often the method of choice to visualize large hierarchical datasets. Nowadays such datasets are available over time, hence there is a need for (a) treemaps…
Deep Learning Multidimensional Projections
Mateus Espadoto, Nina S. T. Hirata, Alexandru C. Telea
Dimensionality reduction methods, also known as projections, are frequently used for exploring multidimensional data in machine learning, data science, and information visualizatio…