Gabriel Dias Cantareira

According to our database, Gabriel Dias Cantareira authored at least 12 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Review and Analysis of Evaluation Practices in VIS Domain Applications.

Yiwen Xing, Gabriel Dias Cantareira, Rita Borgo, Alfie Abdul-Rahman

IEEE Trans. Vis. Comput. Graph., September, 2025

Interactive Hierarchical Timeline for Collaborative Text Negotiation in Historical Records.

Gabriel Dias Cantareira, Yiwen Xing, Nicholas Cole, Rita Borgo, Alfie Abdul-Rahman

IEEE Trans. Vis. Comput. Graph., August, 2025

2023

Exploring Interpersonal Relationships in Historical Voting Records.

Gabriel Dias Cantareira, Yiwen Xing, Nicholas Cole, Rita Borgo, Alfie Abdul-Rahman

Comput. Graph. Forum, June, 2023

Visualizing and Analyzing Voting Records from Historical Documents.

Gabriel Dias Cantareira, Nicholas Cole, Alfie Abdul-Rahman

Proceedings of the Annual International Conference of the Alliance of Digital Humanities Organizations, 2023

2022

Neural network training fingerprint: visual analytics of the training process in classification neural networks.

Martha Dais Ferreira, Gabriel Dias Cantareira, Rodrigo Fernandes de Mello, Fernando V. Paulovich

J. Vis., 2022

Actor-Focused Interactive Visualization for AI Planning.

Gabriel Dias Cantareira, Gerard Canal, Rita Borgo

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021

Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles.

Gabriel Dias Cantareira, Rodrigo Fernandes de Mello, Fernando V. Paulovich

CoRR, 2021

2020

Exploring Neural Network Hidden Layer Activity Using Vector Fields.

Gabriel Dias Cantareira, Elham Etemad, Fernando V. Paulovich

Inf., 2020

Similarity-Driven Edge Bundling: Data-Oriented Clutter Reduction in Graphs Layouts.

Fabio Sikansi, Renato R. O. da Silva, Gabriel Dias Cantareira, Elham Etemad, Fernando V. Paulovich

Algorithms, 2020

Visualizing Learning Space in Neural Network Hidden Layers.

Gabriel Dias Cantareira, Fernando V. Paulovich, Elham Etemad

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

A Generic Model for Projection Alignment Applied to Neural Network Visualization.

Gabriel Dias Cantareira, Fernando V. Paulovich

Proceedings of the 11th International EuroVis Workshop on Visual Analytics, 2020

2016

MoshViz: A Detail+Overview Approach to Visualize Music Elements.

Gabriel Dias Cantareira, Luis Gustavo Nonato, Fernando Vieira Paulovich

IEEE Trans. Multim., 2016