Matheus V. Todescato

According to our database, Matheus V. Todescato authored at least 6 papers between 2023 and 2026.

Collaborative distances:

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

2026

Silhouette Loss: Differentiable Global Structure Learning for Deep Representations.

Matheus Vinícius Todescato, Joel Luís Carbonera

CoRR, April, 2026

2025

No Labels Needed: Zero-Shot Image Classification with Collaborative Self-Learning.

Matheus Vinícius Todescato, Joel Luís Carbonera

Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

2024

Multiscale patch-based feature graphs for image classification.

Matheus V. Todescato, Luan Fonseca Garcia, Dennis Giovani Balreira, Joel Luis Carbonera

Expert Syst. Appl., January, 2024

Investigating Performance Patterns of Pre-Trained Models for Feature Extraction in Image Classification.

Matheus Vinícius Todescato, Joel Luís Carbonera

Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

An Evaluation of Pre-Trained Models for Feature Extraction in Image Classification.

Erick da Silva Puls, Matheus V. Todescato, Joel Luís Carbonera

Proceedings of the 26th International Conference on Enterprise Information Systems, 2024

2023

Multiscale Context Features for Geological Image Classification.

Matheus V. Todescato, Luan Fonseca Garcia, Dennis Giovani Balreira, Joel Luís Carbonera

Proceedings of the 25th International Conference on Enterprise Information Systems, 2023