A Novel Rank Correlation Measure for Manifold Learning on Image Retrieval and Person Re-ID. - Lucas Pascotti Valem; Vinicius Atsushi Sato Kawai; Vanessa Helena Pereira-Ferrero; Daniel Carlos Guimarães Pedronette (ICIP, 2022)

Neighbor Embedding Projection and Rank-Based Manifold Learning for Image Retrieval. - Vinicius Atsushi Sato Kawai; Gustavo Rosseto Leticio; Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette (SIBGRAPI, 2024)

Manifold information through neighbor embedding projection for image retrieval. - Gustavo Rosseto Leticio; Vinicius Atsushi Sato Kawai; Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (Pattern Recognit. Lett., 2024)

Rank-based Hashing for Effective and Efficient Nearest Neighbor Search for Image Retrieval. - Vinicius Atsushi Sato Kawai; Lucas Pascotti Valem; Alexandro Baldassin; Edson Borin; Daniel Carlos Guimarães Pedronette; Longin Jan Latecki (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Inductive Self-Supervised Dimensionality Reduction for Image Retrieval. - Deryk Willyan Biotto; Guilherme Henrique Jardim; Vinicius Atsushi Sato Kawai; Bionda Rozin; Denis Henrique Pinheiro Salvadeo; Daniel Carlos Guimarães Pedronette (VISIGRAPP (2): VISAPP, 2025)

Neighbor Embedding Projection and Graph Convolutional Networks for Image Classification. - Gustavo Rosseto Leticio; Vinicius Atsushi Sato Kawai; Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette (VISIGRAPP (2): VISAPP, 2025)

Graph Convolutional Networks and Particle Competition and Cooperation for Semi-Supervised Learning. - Gustavo Rosseto Leticio; Matheus Henrique Jacob dos Santos; Lucas Pascotti Valem; Vinicius Atsushi Sato Kawai; Fabricio Aparecido Breve; Daniel Carlos Guimarães Pedronette (VISIGRAPP (2): VISAPP, 2025)