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ORCIDJavier Del Ser
- > Home > Persons > Javier Del Ser
Publications
- 2024
[c183]Aitor Martínez-Seras
, Alain Andres, Javier Del Ser:
Advancing towards Safe Reinforcement Learning over Sparse Environments with Out-of-Distribution Observations: Detection and Adaptation Strategies. IJCNN 2024: 1-10- [c182]Javier Del Ser, Aitor Martínez-Seras, Miren Nekane Bilbao, Jesus L. Lobo, Ibai Laña, Francisco Herrera:
Balancing Performance, Efficiency and Robustness in Open-World Machine Learning via Evolutionary Multi-objective Model Compression. IJCNN 2024: 1-8 - [c181]Javier Del Ser, Aitor Martínez-Seras, Ibai Laña, Miren Nekane Bilbao, Panagiotis Fafoutellis, Eleni I. Vlahogianni:
On the Connection Between Neural Activations and Uncertainty in Object Detection Transformers Using Topological Data Analysis. ITSC 2024: 49-56 - [i87]Erik B. Terres-Escudero, Javier Del Ser, Aitor Martínez-Seras, Pablo García Bringas:
On the Robustness of Fully-Spiking Neural Networks in Open-World Scenarios using Forward-Only Learning Algorithms. CoRR abs/2407.14097 (2024) - [i81]Alain Andres, Aitor Martínez-Seras, Ibai Laña, Javier Del Ser:
On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications. CoRR abs/2411.00818 (2024) - [i77]Aitor Martínez-Seras, Javier Del Ser, Alain Andres, Pablo García Bringas:
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data. CoRR abs/2411.04586 (2024) - 2023
- [j155]Javier Poyatos, Daniel Molina, Aitor Martínez-Seras, Javier Del Ser, Francisco Herrera:
Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness. Appl. Soft Comput. 147: 110757 (2023) - [j140]Aitor Martínez-Seras, Javier Del Ser, Jesus L. Lobo, Pablo García Bringas, Nikola K. Kasabov:
A novel Out-of-Distribution detection approach for Spiking Neural Networks: Design, fusion, performance evaluation and explainability. Inf. Fusion 100: 101943 (2023) - [c176]Aitor Martínez-Seras, Javier Del Ser, Pablo García Bringas:
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object Discovery. ITSC 2023: 5756-5763 - [i75]Javier Poyatos, Daniel Molina, Aitor Martínez-Seras, Javier Del Ser, Francisco Herrera:
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness. CoRR abs/2302.10253 (2023) - [i66]Aitor Martínez-Seras, Javier Del Ser, Pablo García Bringas:
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object Discovery. CoRR abs/2312.07466 (2023) - 2022
- [c165]Aitor Martínez-Seras, Javier Del Ser, Pablo García Bringas:
Can Post-hoc Explanations Effectively Detect Out-of-Distribution Samples? FUZZ-IEEE 2022: 1-9 - [i45]Aitor Martínez-Seras, Javier Del Ser, Jesus L. Lobo, Pablo García Bringas, Nikola K. Kasabov:
A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks. CoRR abs/2210.00894 (2022)
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