20 citations · 44 across the 14 of their papers we have counts for
4 papers · 1 filter
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…