output
20202026
most citedExplainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions

544 citations

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6 papers · 1 filter

cs.AI2025★ 31 cited

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…

cs.AI2023★ 544 cited

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…

cs.AI2023★ 9 cited

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…

cs.AI2023★ 86 cited

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…

cs.AI2023★ 11 cited

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…

cs.AI2020★ 23 cited

dMFEA-II: An Adaptive Multifactorial Evolutionary Algorithm for Permutation-based Discrete Optimization Problems

Eneko Osaba, Aritz D. Martinez, Akemi Galvez +2

The emerging research paradigm coined as multitasking optimization aims to solve multiple optimization tasks concurrently by means of a single search process. For this purpose, the…