Aitor Martínez-Seras

14 papers B 3Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
On the inherent robustness of one-stage object detection against out-of-distribution data.
Neural Networks
Aitor Martínez-Seras, Javier Del Ser, Aitzol Olivares-Rad, Alain Andres, Pablo García Bringas
2024 B conf
Advancing towards Safe Reinforcement Learning over Sparse Environments with Out-of-Distribution Observations: Detection and Adaptation Strategies.
IJCNN
Aitor Martínez-Seras, Alain Andres, Javier Del Ser
2024 B conf
Balancing Performance, Efficiency and Robustness in Open-World Machine Learning via Evolutionary Multi-objective Model Compression.
IJCNN
Javier Del Ser, Aitor Martínez-Seras, Miren Nekane Bilbao, Jesus L. Lobo, Ibai Laña, Francisco Herrera
2024 J jnl
On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications.
CoRR
Alain Andres, Aitor Martínez-Seras, Ibai Laña, Javier Del Ser
2024 — conf
On the Connection Between Neural Activations and Uncertainty in Object Detection Transformers Using Topological Data Analysis.
ITSC
Javier Del Ser, Aitor Martínez-Seras, Ibai Laña, Miren Nekane Bilbao, Panagiotis Fafoutellis, Eleni I. Vlahogianni
2024 J jnl
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data.
CoRR
Aitor Martínez-Seras, Javier Del Ser, Alain Andres, Pablo García Bringas
2024 J jnl
On the Robustness of Fully-Spiking Neural Networks in Open-World Scenarios using Forward-Only Learning Algorithms.
CoRR
Erik B. Terres-Escudero, Javier Del Ser, Aitor Martínez-Seras, Pablo García Bringas
2023 J jnl
A novel Out-of-Distribution detection approach for Spiking Neural Networks: Design, fusion, performance evaluation and explainability.
Inf. Fusion
Aitor Martínez-Seras, Javier Del Ser, Jesus L. Lobo, Pablo García Bringas, Nikola K. Kasabov
2023 — conf
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object Discovery.
ITSC
Aitor Martínez-Seras, Javier Del Ser, Pablo García Bringas
2023 J jnl
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object Discovery.
CoRR
Aitor Martínez-Seras, Javier Del Ser, Pablo García Bringas
2023 J jnl
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness.
CoRR
Javier Poyatos, Daniel Molina, Aitor Martínez-Seras, Javier Del Ser, Francisco Herrera
2023 J jnl
Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness.
Appl. Soft Comput.
Javier Poyatos, Daniel Molina, Aitor Martínez-Seras, Javier Del Ser, Francisco Herrera
2022 J jnl
A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks.
CoRR
Aitor Martínez-Seras, Javier Del Ser, Jesus L. Lobo, Pablo García Bringas, Nikola K. Kasabov
2022 B conf
Can Post-hoc Explanations Effectively Detect Out-of-Distribution Samples?
FUZZ-IEEE
Aitor Martínez-Seras, Javier Del Ser, Pablo García Bringas