MoshViz: A Detail+Overview Approach to Visualize Music Elements. - Gabriel Dias Cantareira; Luis Gustavo Nonato; Fernando Vieira Paulovich (IEEE Trans. Multim., 2016)

A Generic Model for Projection Alignment Applied to Neural Network Visualization. - Gabriel Dias Cantareira; Fernando V. Paulovich (EuroVA@Eurographics/EuroVis, 2020)

Visualizing Learning Space in Neural Network Hidden Layers. - Gabriel Dias Cantareira; Fernando V. Paulovich; Elham Etemad (VISIGRAPP (3: IVAPP), 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)

Exploring Neural Network Hidden Layer Activity Using Vector Fields. - Gabriel Dias Cantareira; Elham Etemad; Fernando V. Paulovich (Inf., 2020)

Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles. - Gabriel Dias Cantareira; Rodrigo Fernandes de Mello; Fernando V. Paulovich (CoRR, 2021)

Actor-Focused Interactive Visualization for AI Planning. - Gabriel Dias Cantareira; Gerard Canal; Rita Borgo (ICAPS, 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)

Visualizing and Analyzing Voting Records from Historical Documents. - Gabriel Dias Cantareira; Nicholas Cole; Alfie Abdul-Rahman (DH, 2023)

Exploring Interpersonal Relationships in Historical Voting Records. - Gabriel Dias Cantareira; Yiwen Xing; Nicholas Cole; Rita Borgo; Alfie Abdul-Rahman (Comput. Graph. Forum, 2023)

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., 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., 2025)