Can Post-hoc Explanations Effectively Detect Out-of-Distribution Samples? - Aitor Martínez-Seras; Javier Del Ser; Pablo García Bringas (FUZZ-IEEE, 2022)

A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks. - Aitor Martínez-Seras; Javier Del Ser; Jesus L. Lobo; Pablo García Bringas; Nikola K. Kasabov (CoRR, 2022)

Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object Discovery. - Aitor Martínez-Seras; Javier Del Ser; Pablo García Bringas (ITSC, 2023)

Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness. - Javier Poyatos; Daniel Molina; Aitor Martínez-Seras; Javier Del Ser; Francisco Herrera (Appl. Soft Comput., 2023)

A novel Out-of-Distribution detection approach for Spiking Neural Networks: Design, fusion, performance evaluation and explainability. - Aitor Martínez-Seras; Javier Del Ser; Jesus L. Lobo; Pablo García Bringas; Nikola K. Kasabov (Inf. Fusion, 2023)

Advancing towards Safe Reinforcement Learning over Sparse Environments with Out-of-Distribution Observations: Detection and Adaptation Strategies. - Aitor Martínez-Seras; Alain Andres; Javier Del Ser (IJCNN, 2024)

Balancing Performance, Efficiency and Robustness in Open-World Machine Learning via Evolutionary Multi-objective Model Compression. - Javier Del Ser; Aitor Martínez-Seras; Miren Nekane Bilbao; Jesus L. Lobo; Ibai Laña; Francisco Herrera (IJCNN, 2024)

On the Connection Between Neural Activations and Uncertainty in Object Detection Transformers Using Topological Data Analysis. - Javier Del Ser; Aitor Martínez-Seras; Ibai Laña; Miren Nekane Bilbao; Panagiotis Fafoutellis; Eleni I. Vlahogianni (ITSC, 2024)

On the Robustness of Fully-Spiking Neural Networks in Open-World Scenarios using Forward-Only Learning Algorithms. - Erik B. Terres-Escudero; Javier Del Ser; Aitor Martínez-Seras; Pablo García Bringas (CoRR, 2024)

On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications. - Alain Andres; Aitor Martínez-Seras; Ibai Laña; Javier Del Ser (CoRR, 2024)

On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data. - Aitor Martínez-Seras; Javier Del Ser; Alain Andres; Pablo García Bringas (CoRR, 2024)