Interactive Segmentation by Image Foresting Transform on Superpixel Graphs. - Paulo E. Rauber; Alexandre X. Falcão; Thiago Vallin Spina; Pedro J. de Rezende (SIBGRAPI, 2013)

Interactive Image Feature Selection Aided by Dimensionality Reduction. - Paulo Eduardo Rauber; Renato Rodrigues Oliveira da Silva; Sander Feringa; M. Emre Celebi 001; Alexandre X. Falcão; Alexandru C. Telea (EuroVA@EuroVis, 2015)

Attribute-based Visual Explanation of Multidimensional Projections. - Renato R. O. da Silva; Paulo E. Rauber; Rafael Messias Martins; Rosane Minghim; Alexandru C. Telea (EuroVA@EuroVis, 2015)

Visualizing Time-Dependent Data Using Dynamic t-SNE. - Paulo E. Rauber; Alexandre X. Falcão; Alexandru C. Telea (EuroVis (Short Papers), 2016)

Metric Evolution Maps: Multidimensional Attribute-driven Exploration of Software Repositories. - Renato Rodrigues Oliveira da Silva; Eduardo Faccin Vernier; Paulo Eduardo Rauber; João Luiz Dihl Comba; Rosane Minghim; Alexandru C. Telea (VMV, 2016)

Beyond the Third Dimension: Visualizing High-Dimensional Data with Projections. - Renato R. O. da Silva; Paulo E. Rauber; Alexandru C. Telea (Comput. Sci. Eng., 2016)

Effcient and Effective Automated Digital Hair Removal from Dermoscopy Images. - Joost Koehoorn; André Sobiecki; Paulo E. Rauber; Andrei C. Jalba; Alexandru C. Telea (Math. Morphol. Theory Appl., 2016)

Graph Layouts by t-SNE. - Johannes F. Kruiger; Paulo E. Rauber; Rafael Messias Martins; Andreas Kerren; Stephen G. Kobourov; Alexandru C. Telea (Comput. Graph. Forum, 2017)

Hindsight policy gradients. - Paulo E. Rauber; Filipe Mutz; Jürgen Schmidhuber (CoRR, 2017)

Visualizing the Hidden Activity of Artificial Neural Networks. - Paulo E. Rauber; Samuel G. Fadel; Alexandre X. Falcão; Alexandru C. Telea (IEEE Trans. Vis. Comput. Graph., 2017)

Projections as visual aids for classification system design. - Paulo E. Rauber; Alexandre X. Falcão; Alexandru C. Telea (Inf. Vis., 2018)

Hindsight policy gradients. - Paulo E. Rauber; Avinash Ummadisingu; Filipe Mutz; Jürgen Schmidhuber (ICLR (Poster), 2019)

Recurrent Neural-Linear Posterior Sampling for Non-Stationary Contextual Bandits. - Aditya A. Ramesh; Paulo E. Rauber; Jürgen Schmidhuber (CoRR, 2020)

Reinforcement Learning in Sparse-Reward Environments With Hindsight Policy Gradients. - Paulo E. Rauber; Avinash Ummadisingu; Filipe Mutz; Jürgen Schmidhuber (Neural Comput., 2021)

Hardness in Markov Decision Processes: Theory and Practice. - Michelangelo Conserva; Paulo E. Rauber (NeurIPS, 2022)

Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits. - Aditya A. Ramesh; Paulo E. Rauber; Michelangelo Conserva; Jürgen Schmidhuber (Neural Comput., 2022)

Posterior Sampling for Deep Reinforcement Learning. - Remo Sasso; Michelangelo Conserva; Paulo E. Rauber (ICML, 2023)