output
20062025
most citedA Prescription of Methodological Guidelines for Comparing Bio-inspired Optimization Algorithms

186 citations

29 papers

quant-ph2025★ 2 cited

Steiner Traveling Salesman Problem with Quantum Annealing

Alessia Ciacco, Francesca Guerriero, Eneko Osaba

The Steiner Traveling Salesman Problem (STSP) is a variant of the classical Traveling Salesman Problem. The STSP involves incorporating steiner nodes, which are extra nodes not ori…

cs.CV2024★ 16 cited

On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications

Alain Andres, Aitor Martinez-Seras, Ibai Laña +1

In the realm of human-machine interaction, artificial intelligence has become a powerful tool for accelerating data modeling tasks. Object detection methods have achieved outstandi…

cs.SE2024★ 6 cited

Towards Interoperability Testing of Smart Energy Systems -- An Overview and Discussion of Possibilities

Thomas I. Strasser, Edmund Widl, René A. Kuchenbuch +10

Interoperability is the key to implementing a wide range of energy systems applications. It involves the seamless cooperation of different methods and components. With smart energy…

cs.CV2024★ 1 cited

Conformal Recursive Feature Elimination

Marcos López-De-Castro, Alberto García-Galindo, Rubén Armañanzas

Unlike traditional statistical methods, Conformal Prediction (CP) allows for the determination of valid and accurate confidence levels associated with individual predictions based…

quant-ph2023★ 3 cited

Hacking Cryptographic Protocols with Advanced Variational Quantum Attacks

Borja Aizpurua, Pablo Bermejo, Josu Etxezarreta Martinez +1

Here we introduce an improved approach to Variational Quantum Attack Algorithms (VQAA) on crytographic protocols. Our methods provide robust quantum attacks to well-known cryptogra…

cs.ET2023★ 36 cited

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…