activity
20202026
most citedMulti-Objective Hyperparameter Optimization in Machine Learning -- An Overview

104 citations · 148 across the 12 of their papers we have counts for

collaborators

13 papers

cs.AI2026

From Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert Systems

Eduardo C. Garrido-Merchán

A trained deep reinforcement learning policy is a black box, and we ask whether it can be made explainable by rewriting it as an executable logic program that reproduces its behavi…

cs.CE2026

Bayesian Extreme Value Theory with Hawkes-AR-Gumbel Dependence for Extreme CVaR Estimation in Operational Risk

Juan Ballesteros Gómez, Eduardo C. Garrido-Merchán, Pedro Pablo Pérez-Velasco

Operational risk capital estimation under Basel II/III requires quantifying aggregate losses at extreme confidence levels of 99.9% and beyond, yet the standard Loss Distribution Ap…

cs.CL2023★ 2 cited

Real Customization or Just Marketing: Are Customized Versions of Chat GPT Useful?

Eduardo C. Garrido-Merchán, Jose L. Arroyo-Barrigüete, Francisco Borrás-Pala +4

Large Language Models (LLMs), as the case of OpenAI ChatGPT-4 Turbo, are revolutionizing several industries, including higher education. In this context, LLMs can be personalized t…

cs.CY2023

From computational ethics to morality: how decision-making algorithms can help us understand the emergence of moral principles, the existence of an optimal behaviour and our ability to discover it

Eduardo C. Garrido-Merchán, Sara Lumbreras-Sancho

This paper adds to the efforts of evolutionary ethics to naturalize morality by providing specific insights derived from a computational ethics view. We propose a stylized model of…

cs.LG2023★ 32 cited

An Automated Survey of Generative Artificial Intelligence: Large Language Models, Architectures, Protocols, and Applications

Eduardo C. Garrido-Merchán, Álvaro López López

Generative artificial intelligence, and large language models in particular, have emerged as one of the most transformative paradigms in modern computer science. This automated sur…

cs.CL2023★ 2 cited

Fine-tuning ClimateBert transformer with ClimaText for the disclosure analysis of climate-related financial risks

Eduardo C. Garrido-Merchán, Cristina González-Barthe, María Coronado Vaca

In recent years there has been a growing demand from financial agents, especially from particular and institutional investors, for companies to report on climate-related financial…