119 citations · 164 across the 15 of their papers we have counts for
7 papers · 1 filter
ExplorerTree: a focus+context exploration approach for 2D embeddings
Wilson E. Marcílio-Jr, Danilo M. Eler, Fernando V. Paulovich +2
In exploratory tasks involving high-dimensional datasets, dimensionality reduction (DR) techniques help analysts to discover patterns and other useful information. Although scatter…
Multivariate Data Explanation by Jumping Emerging Patterns Visualization
Mário Popolin Neto, Fernando V. Paulovich
Visual Analytics (VA) tools and techniques have been instrumental in supporting users to build better classification models, interpret models' overall logic, and audit results. In…
HUMAP: Hierarchical Uniform Manifold Approximation and Projection
Wilson E. Marcílio-Jr, Danilo M. Eler, Fernando V. Paulovich +1
Dimensionality reduction (DR) techniques help analysts to understand patterns in high-dimensional spaces. These techniques, often represented by scatter plots, are employed in dive…
Active learning for medical code assignment
Martha Dais Ferreira, Michal Malyska, Nicola Sahar +3
Machine Learning (ML) is widely used to automatically extract meaningful information from Electronic Health Records (EHR) to support operational, clinical, and financial decision-m…
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles
Gabriel D. Cantareira, Rodrigo F. Mello, Fernando V. Paulovich
As neural networks become the tool of choice to solve an increasing variety of problems in our society, adversarial attacks become critical. The possibility of generating data inst…
Q4EDA: A Novel Strategy for Textual Information Retrieval Based on User Interactions with Visual Representations of Time Series
Leonardo Christino, Martha D. Ferreira, Fernando V. Paulovich
Knowing how to construct text-based Search Queries (SQs) for use in Search Engines (SEs) such as Google or Wikipedia has become a fundamental skill. Though much data are available…
Multi-point dimensionality reduction to improve projection layout reliability
Farshad Barahimi
In ordinary Dimensionality Reduction (DR), each data instance in a high dimensional space (original space), or on a distance matrix denoting original space distances, is mapped to…