41 citations · 85 across the 16 of their papers we have counts for
16 papers
Topo-GS: Continuous Volumetric Embedding of High-Dimensional Data via Topological Gaussian Splatting
João Paulo Gois, Luis Gustavo Nonato
Dimensionality reduction algorithms map high-dimensional data into visualizable 2D or 3D spaces, but traditionally rely on a discrete point-cloud paradigm. This discrete abstractio…
TiVy: Time Series Visual Summary for Scalable Visualization
Gromit Yeuk-Yin Chan, Luis Gustavo Nonato, Themis Palpanas +2
Visualizing multiple time series presents fundamental tradeoffs between scalability and visual clarity. Time series capture the behavior of many large-scale real-world processes, f…
Time Series Information Visualization -- A Review of Approaches and Tools
Evandro S. Ortigossa, Fábio F. Dias, Diego C. Nascimento +1
Time series data are prevalent across various domains and often encompass large datasets containing multiple time-dependent features in each sample. Exploring time-varying data is…
TopoMap++: A faster and more space efficient technique to compute projections with topological guarantees
Vitoria Guardieiro, Felipe Inagaki de Oliveira, Harish Doraiswamy +2
High-dimensional data, characterized by many features, can be difficult to visualize effectively. Dimensionality reduction techniques, such as PCA, UMAP, and t-SNE, address this ch…
MOUNTAINEER: Topology-Driven Visual Analytics for Comparing Local Explanations
Parikshit Solunke, Vitoria Guardieiro, Joao Rulff +5
With the increasing use of black-box Machine Learning (ML) techniques in critical applications, there is a growing demand for methods that can provide transparency and accountabili…
Exploring the Relationship Between Feature Attribution Methods and Model Performance
Priscylla Silva, Claudio T. Silva, Luis Gustavo Nonato
Machine learning and deep learning models are pivotal in educational contexts, particularly in predicting student success. Despite their widespread application, a significant gap p…
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients
Evandro S. Ortigossa, Fábio F. Dias, Brian Barr +2
The development of machine learning applications has increased significantly in recent years, motivated by the remarkable ability of learning-powered systems to discover and genera…
TensorAnalyzer: Identification of Urban Patterns in Big Cities using Non-Negative Tensor Factorization
Jaqueline Silveira, Germain García, Afonso Paiva +3
Extracting relevant urban patterns from multiple data sources can be difficult using classical clustering algorithms since we have to make a suitable setup of the hyperparameters o…
Calibrate: Interactive Analysis of Probabilistic Model Output
Peter Xenopoulos, Joao Rulff, Luis Gustavo Nonato +2
Analyzing classification model performance is a crucial task for machine learning practitioners. While practitioners often use count-based metrics derived from confusion matrices,…
LegalVis: Exploring and Inferring Precedent Citations in Legal Documents
Lucas E. Resck, Jean R. Ponciano, Luis Gustavo Nonato +1
To reduce the number of pending cases and conflicting rulings in the Brazilian Judiciary, the National Congress amended the Constitution, allowing the Brazilian Supreme Court (STF)…
Topological Representations of Local Explanations
Peter Xenopoulos, Gromit Chan, Harish Doraiswamy +3
Local explainability methods -- those which seek to generate an explanation for each prediction -- are becoming increasingly prevalent due to the need for practitioners to rational…
CrimAnalyzer: Understanding Crime Patterns in São Paulo City
Garcia-Zanabria, Germain, Silveira +13
São Paulo is the largest city in South America, with high criminality rates. The number and type of crimes varies considerably around the city, assuming different patterns dependin…
TopoMap: A 0-dimensional Homology Preserving Projection of High-Dimensional Data
Harish Doraiswamy, Julien Tierny, Paulo J. S. Silva +2
Multidimensional Projection is a fundamental tool for high-dimensional data analytics and visualization. With very few exceptions, projection techniques are designed to map data fr…
Melody: Generating and Visualizing Machine Learning Model Summary to Understand Data and Classifiers Together
Gromit Yeuk-Yin Chan, Enrico Bertini, Luis Gustavo Nonato +2
With the increasing sophistication of machine learning models, there are growing trends of developing model explanation techniques that focus on only one instance (local explanatio…
GLoG: Laplacian of Gaussian for Spatial Pattern Detection in Spatio-Temporal Data
Luis Gustavo Nonato, Fabiano Petronetto e Claudio Silva
Boundary detection has long been a fundamental tool for image processing and computer vision, supporting the analysis of static and time-varying data. In this work, we built upon t…
Motion Browser: Visualizing and Understanding Complex Upper Limb Movement Under Obstetrical Brachial Plexus Injuries
Gromit Yeuk-Yin Chan, Luis Gustavo Nonato, Alice Chu +3
The brachial plexus is a complex network of peripheral nerves that enables sensing from and control of the movements of the arms and hand. Nowadays, the coordination between the mu…