Caroline Mazini Rodrigues

According to our database, Caroline Mazini Rodrigues authored at least 11 papers between 2019 and 2026.

Collaborative distances:

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

2026

Compressing image encoders via latent distillation.

Caroline Mazini Rodrigues, Nicolas Keriven, Thomas Maugey

CoRR, January, 2026

Explaining with trees: interpreting CNNs using hierarchies.

Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman

Trans. Mach. Learn. Res., 2026

2025

Found in Translation: semantic approaches for enhancing AI interpretability in face verification.

Miriam Doh, Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman, Matei Mancas, Bernard Gosselin

CoRR, January, 2025

2024

Enhancing interpretability in explanations of Convolutional Neural Networks. (Améliorer l'interprétabilité dans les Réseaux de Neurones Convolutionnels).

Caroline Mazini Rodrigues

PhD thesis, 2024

Transforming gradient-based techniques into interpretable methods.

Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman

Pattern Recognit. Lett., 2024

Unsupervised discovery of interpretable visual concepts.

Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman

Inf. Sci., 2024

Reasoning with trees: interpreting CNNs using hierarchies.

Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman

CoRR, 2024

2023

Bridging Human Concepts and Computer Vision for Explainable Face Verification.

Miriam Doh, Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman, Matei Mancas, Hugues Bersini

Proceedings of the 2nd Workshop on Bias, 2023

2021

Manifold Learning for Real-World Event Understanding.

Caroline Mazini Rodrigues, Aurea Soriano-Vargas, Bahram Lavi, Anderson Rocha, Zanoni Dias

IEEE Trans. Inf. Forensics Secur., 2021

2020

Forensic Event Analysis: From Seemingly Unrelated Data to Understanding.

Rafael Padilha, Caroline Mazini Rodrigues, Fernanda A. Andaló, Gabriel Bertocco, Zanoni Dias, Anderson Rocha

IEEE Secur. Priv., 2020

2019

Image Semantic Representation for Event Understanding.

Caroline Mazini Rodrigues, Luís A. M. Pereira, Anderson Rocha, Zanoni Dias

Proceedings of the IEEE International Workshop on Information Forensics and Security, 2019