Francisco Javier Sáez-Maldonado

According to our database, Francisco Javier Sáez-Maldonado authored at least 5 papers between 2023 and 2026.

Collaborative distances:

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

2026

Torchmil: A PyTorch-based library for deep multiple instance learning.

Francisco M. Castro-Macías, Francisco Javier Sáez-Maldonado, Pablo Morales-Álvarez, Rafael Molina

Neurocomputing, 2026

Bridging the synthetic-to-real gap in single image dehazing.

Stepan Babayan, Francisco Javier Sáez-Maldonado, Javier Mateos, Rafael Molina

Digit. Signal Process., 2026

2025

Using Variational Autoencoders for Out of Distribution Detection in Histological Multiple Instance Learning.

Francisco Javier Sáez-Maldonado, Luz García, Lee A. D. Cooper, Jeffery A. Goldstein, Rafael Molina, Aggelos K. Katsaggelos

IEEE Access, 2025

Variational Bayesian Dehazing With Atmospheric Scattering Model for Synthetic-to-Real Generalization.

Stepan Babayan, Francisco Javier Sáez-Maldonado, Javier Mateos, Rafael Molina

Proceedings of the 2025 IEEE International Conference on Image Processing, ICIP 2025, 2025

2023

Deep Transformed Gaussian Processes.

Francisco Javier Sáez-Maldonado, Juan Maroñas, Daniel Hernández-Lobato

CoRR, 2023