| Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness J Poyatos, D Molina, A Martínez-Seras, J Del Ser, F Herrera Applied Soft Computing 147, 110757, 2023 | 14 | 2023 |
| A novel Out-of-Distribution detection approach for Spiking Neural Networks: Design, fusion, performance evaluation and explainability A Martinez-Seras, J Del Ser, JL Lobo, P Garcia-Bringas, N Kasabov Information Fusion 100, 101943, 2023 | 12 | 2023 |
| Can Post-hoc Explanations Effectively Detect Out-of-Distribution Samples? A Martinez-Seras, J Del Ser, P Garcia-Bringas 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-9, 2022 | 7 | 2022 |
| Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object Discovery AM Seras, J Del Ser, P Garcia-Bringas 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 4 | 2023 |
| On the black-box explainability of object detection models for safe and trustworthy industrial applications A Andres, A Martinez-Seras, I Laña, J Del Ser Results in Engineering 24, 103498, 2024 | 1 | 2024 |
| On the Robustness of Fully-Spiking Neural Networks in Open-World Scenarios using Forward-Only Learning Algorithms EB Terres-Escudero, J Del Ser, A Martínez-Seras, P Garcia-Bringas arXiv preprint arXiv:2407.14097, 2024 | 1 | 2024 |
| On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data A Martinez-Seras, J Del Ser, A Olivares-Rad, A Andres, P Garcia-Bringas arXiv preprint arXiv:2411.04586, 2024 | | 2024 |
| Advancing towards Safe Reinforcement Learning over Sparse Environments with Out-of-Distribution Observations: Detection and Adaptation Strategies A Martinez-Seras, A Andres, J Del Ser 2024 International Joint Conference on Neural Networks (IJCNN), 1-10, 2024 | | 2024 |
| Balancing Performance, Efficiency and Robustness in Open-World Machine Learning via Evolutionary Multi-objective Model Compression J Del Ser, A Martinez-Seras, MN Bilbao, JL Lobo, I Laña, F Herrera 2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024 | | 2024 |
| Forward-Forward Learning Achieves Highly Selective Latent Representations for Out-of-Distribution Detection in Fully Spiking Neural Networks EB Terres-Escudero, J Del Ser, A Martinez-Seras, P Garcia Bringas Available at SSRN 5152073, 0 | | |
Javier (Javi) Del SerResearch Professor, TECNALIA, Distinguished Professor, Universidad del País Vasco (UPV/EHU)Bestätigte E-Mail-Adresse bei tecnalia.com
