119 citations · 164 across the 15 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…
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…
Explainable Matrix -- Visualization for Global and Local Interpretability of Random Forest Classification Ensembles
Mário Popolin Neto, Fernando V. Paulovich
Over the past decades, classification models have proven to be essential machine learning tools given their potential and applicability in various domains. In these years, the nort…
Xtreaming: an incremental multidimensional projection technique and its application to streaming data
Tácito T. A. T. Neves, Rafael M. Martins, Danilo B. Coimbra +3
Streaming data applications are becoming more common due to the ability of different information sources to continuously capture or produce data, such as sensors and social media.…
Visualization in the preprocessing phase: an interview study with enterprise professionals
Alessandra Milani, Fernando Paulovich, Isabel Manssour
The current information age has increasingly required organizations to become data-driven. However, analyzing and managing raw data is still a challenging part of the data mining p…
A Grid-based Method for Removing Overlaps of Dimensionality Reduction Scatterplot Layouts
Gladys M. Hilasaca, Wilson E. Marcílio-Jr, Danilo M. Eler +2
Dimensionality Reduction (DR) scatterplot layouts have become a ubiquitous visualization tool for analyzing multidimensional datasets. Despite their popularity, such scatterplots s…
Visual Feature Fusion and its Application to Support Unsupervised Clustering Tasks
Gladys Hilasaca, Fernando Paulovich
On visual analytics applications, the concept of putting the user on the loop refers to the ability to replace heuristics by user knowledge on machine learning and data mining task…