544 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of the Basque CountryES29 papers
- IkerbasqueES10 papers
- Basque Center for Applied MathematicsES8 papers
- Instituto Andaluz de Ciencias de la TierraES6 papers
- Universidad de GranadaES6 papers
- Universidad Carlos III de MadridES4 papers
- GMV Innovating Solutions (Spain)ES3 papers
- Instituto de Ciencia de Materiales de MadridES3 papers
- Shanghai UniversityCN3 papers
- TecnaliaES3 papers
- EUNEIZES2 papers
- Euskadiko Parke TeknologikoaES2 papers
36 papers
Assessing the Challenges of Collective Perception via V2I Communications in High-Speed Scenarios with Open Road Testing
Jon Ander Iñiguez de Gordoa, Iker Alkorta, Itziar Urbieta +2
This paper presents a comprehensive end-to-end evaluation of an infrastructure-assisted collective perception (ICP) system deployed on a highway using ITS-G5 technology. Open-road…
A Design Framework for operationalizing Trustworthy Artificial Intelligence in Healthcare: Requirements, Tradeoffs and Challenges for its Clinical Adoption
Pedro A. Moreno-Sánchez, Javier Del Ser, Mark van Gils +1
Artificial Intelligence (AI) holds great promise for transforming healthcare, particularly in disease diagnosis, prognosis, and patient care. The increasing availability of digital…
A Collaborative Content Moderation Framework for Toxicity Detection based on Conformalized Estimates of Annotation Disagreement
Guillermo Villate-Castillo, Javier Del Ser, Borja Sanz
Content moderation typically combines the efforts of human moderators and machine learning models. However, these systems often rely on data where significant disagreement occurs d…
Resilience to the Flowing Unknown: an Open Set Recognition Framework for Data Streams
Marcos Barcina-Blanco, Jesus L. Lobo, Pablo Garcia-Bringas +1
Modern digital applications extensively integrate Artificial Intelligence models into their core systems, offering significant advantages for automated decision-making. However, th…
A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems
Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser +6
In the last few years, the formulation of real-world optimization problems and their efficient solution via metaheuristic algorithms has been a catalyst for a myriad of research st…
Satellite image classification with neural quantum kernels
Pablo Rodriguez-Grasa, Robert Farzan-Rodriguez, Gabriele Novelli +2
Achieving practical applications of quantum machine learning for real-world scenarios remains challenging despite significant theoretical progress. This paper proposes a novel appr…
Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework
Jesus Gonzalez-Sieiro, David Pardo, Vincenzo Nava +2
We propose a method for reducing the spatial discretization error of coarse computational fluid dynamics (CFD) problems by enhancing the quality of low-resolution simulations using…
QOPTLib: a Quantum Computing Oriented Benchmark for Combinatorial Optimization Problems
Eneko Osaba, Esther Villar-Rodriguez
In this paper, we propose a quantum computing oriented benchmark for combinatorial optimization. This benchmark, coined as QOPTLib, is composed of 40 instances equally distributed…
Quantum Optimization Methods for Satellite Mission Planning
Antón Makarov, Carlos Pérez-Herradón, Giacomo Franceschetto +5
Satellite mission planning for Earth observation satellites is a combinatorial optimization problem that consists of selecting the optimal subset of imaging requests, subject to co…
Validation of critical maneuvers based on shared control
Mauricio Marcano, Joseba Sarabia, Asier Zubizarreta +1
This paper presents the validation of shared control strategies for critical maneuvers in automated driving systems. Shared control involves collaboration between the driver and au…
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning
Pankayaraj Pathmanathan, Natalia Díaz-Rodríguez, Javier Del Ser
In this work, we investigate the means of using curiosity on replay buffers to improve offline multi-task continual reinforcement learning when tasks, which are defined by the non-…
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions
Luca Longo, Mario Brcic, Federico Cabitza +16
As systems based on opaque Artificial Intelligence (AI) continue to flourish in diverse real-world applications, understanding these black box models has become paramount. In respo…
Optimizing edge state transfer in a Su-Schrieffer-Heeger chain via hybrid analog-digital strategies
Sebastián V. Romero, Xi Chen, Gloria Platero +1
The Su-Schrieffer-Heeger (SSH) chain, which serves as a paradigmatic model for comprehending topological phases and their associated edge states, plays an essential role in advanci…
Solving Logistic-Oriented Bin Packing Problems Through a Hybrid Quantum-Classical Approach
Sebastián V. Romero, Eneko Osaba, Esther Villar-Rodriguez +1
The Bin Packing Problem is a classic problem with wide industrial applicability. In fact, the efficient packing of items into bins is one of the toughest challenges in many logisti…
Scattering of relativistic electrons and analogies with optical phenomena: A study of longitudinal and transverse shifts at step potentials
Yue Ban, Xi Chen
We investigate the behavior of relativistic electrons encountering a potential step through analogies with optical phenomena. By accounting for the conservation of Dirac current, w…
Photonic counterdiabatic quantum optimization algorithm
Pranav Chandarana, Koushik Paul, Mikel Garcia-de-Andoin +3
We propose a hybrid quantum-classical approximate optimization algorithm for photonic quantum computing, specifically tailored for addressing continuous-variable optimization probl…
Optimization of Image Acquisition for Earth Observation Satellites via Quantum Computing
Antón Makarov, Márcio M. Taddei, Eneko Osaba +3
Satellite image acquisition scheduling is a problem that is omnipresent in the earth observation field; its goal is to find the optimal subset of images to be taken during a given…
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Societal Implications and Responsible Governance
Isaac Triguero, Daniel Molina, Javier Poyatos +2
Most applications of Artificial Intelligence (AI) are designed for a confined and specific task. However, there are many scenarios that call for a more general AI, capable of solvi…
Efficient quantum amplitude encoding of polynomial functions
Javier Gonzalez-Conde, Thomas W. Watts, Pablo Rodriguez-Grasa +1
Loading functions into quantum computers represents an essential step in several quantum algorithms, such as quantum partial differential equation solvers. Therefore, the inefficie…
Formulation of the Electric Vehicle Charging and Routing Problem for a Hybrid Quantum-Classical Search Space Reduction Heuristic
M. Garcia de Andoin, A. Bottarelli, S. Schmitt +3
Combinatorial optimization problems have attracted much interest in the quantum computing community in the recent years as a potential testbed to showcase quantum advantage. In thi…
Benchmark dataset and instance generator for Real-World Three-Dimensional Bin Packing Problems
Eneko Osaba, Esther Villar-Rodriguez, Sebastián V. Romero
In this article, a benchmark for real-world bin packing problems is proposed. This dataset consists of 12 instances of varying levels of complexity regarding size (with the number…
Hybrid Approach for Solving Real-World Bin Packing Problem Instances Using Quantum Annealers
Sebastián V. Romero, Eneko Osaba, Esther Villar-Rodriguez +2
Efficient packing of items into bins is a common daily task. Known as Bin Packing Problem, it has been intensively studied in the field of artificial intelligence, thanks to the wi…
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness
Javier Poyatos, Daniel Molina, Aitor Martínez +2
Evolutionary Computation algorithms have been used to solve optimization problems in relation with architectural, hyper-parameter or training configuration, forging the field known…
PauliComposer: Compute Tensor Products of Pauli Matrices Efficiently
Sebastián V. Romero, Juan Santos-Suárez
We introduce a simple algorithm that efficiently computes tensor products of Pauli matrices. This is done by tailoring the calculations to this specific case, which allows to avoid…