10 citations · 21 across the 7 of their papers we have counts for
16 papers
Knowledge-Decks: Automatically Generating Presentation Slide Decks of Visual Analytics Knowledge Discovery Applications
Leonardo Christino, Taylor Hill, Fernando Paulovich
Visual Analytics (VA) tools provide ways for users to harness insights and knowledge from datasets. Recalling and retelling user experiences while utilizing VA tools has attracted…
DimenFix: A novel meta-dimensionality reduction method for feature preservation
Qiaodan Luo, Leonardo Christino, Fernando V Paulovich +1
Dimensionality reduction has become an important research topic as demand for interpreting high-dimensional datasets has been increasing rapidly in recent years. There have been ma…
A Theoretical Approach for Structuring and Analysing Knowledge Provenance for Visual Analytics
Leonardo Christino, Sima Rezaeipourfarsangi, Evangelos Milios +1
The primary goal of Visual Analytics (VA) is to enable user-guided knowledge generation. Theoretical VA works to explain how the different aspects of a VA tool bring forth new insi…
HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques
Angelos Chatzimparmpas, Fernando V. Paulovich, Andreas Kerren
Despite the tremendous advances in machine learning (ML), training with imbalanced data still poses challenges in many real-world applications. Among a series of diverse techniques…
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…