Bayesian Optimization of a Hybrid Prediction System for Optimal Wave Energy Estimation Problems. - Laura Cornejo-Bueno; Eduardo C. Garrido-Merchán; Daniel Hernández-Lobato; Sancho Salcedo-Sanz (IWANN (1), 2017)

Bayesian Optimization of the PC Algorithm for Learning Gaussian Bayesian Networks. - Irene Córdoba; Eduardo C. Garrido-Merchán; Daniel Hernández-Lobato; Concha Bielza; Pedro Larrañaga (CAEPIA, 2018)

Suggesting Cooking Recipes Through Simulation and Bayesian Optimization. - Eduardo C. Garrido-Merchán; Alejandro Albarca-Molina (IDEAL (1), 2018)

Bayesian optimization of a hybrid system for robust ocean wave features prediction. - Laura Cornejo-Bueno; Eduardo C. Garrido-Merchán; Daniel Hernández-Lobato; Sancho Salcedo-Sanz (Neurocomputing, 2018)

Generating a Question Answering System from Text Causal Relations. - Eduardo C. Garrido-Merchán; Cristina Puente; José Angel Olivas (HAIS, 2019)

Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints. - Eduardo C. Garrido-Merchán; Daniel Hernández-Lobato (Neurocomputing, 2019)

Fake News Detection by Means of Uncertainty Weighted Causal Graphs. - Eduardo C. Garrido-Merchán; Cristina Puente; Rafael Palacios (HAIS, 2020)

A Machine Consciousness Architecture Based on Deep Learning and Gaussian Processes. - Eduardo C. Garrido-Merchán; Martin Molina (HAIS, 2020)

Uncertainty Weighted Causal Graphs. - Eduardo C. Garrido-Merchán; Cristina Puente; Alejandro Sobrino 001; José A. Olivas (CoRR, 2020)

Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints. - Eduardo C. Garrido-Merchán; Daniel Hernández-Lobato (CoRR, 2020)

Comparing BERT against traditional machine learning text classification. - Santiago González-Carvajal; Eduardo C. Garrido-Merchán (CoRR, 2020)

Max-value Entropy Search for Multi-objective Bayesian Optimization with Constraints. - Daniel Fernández-Sánchez; Eduardo C. Garrido-Merchán; Daniel Hernández-Lobato (CoRR, 2020)

An artificial consciousness model and its relations with philosophy of mind. - Eduardo C. Garrido-Merchán; Martin Molina; Francisco M. Mendoza (CoRR, 2020)

Dealing with categorical and integer-valued variables in Bayesian Optimization with Gaussian processes. - Eduardo C. Garrido-Merchán; Daniel Hernández-Lobato (Neurocomputing, 2020)

A Similarity Measure of Gaussian Process Predictive Distributions. - Lucia Asencio-Martín; Eduardo C. Garrido-Merchán (CAEPIA, 2021)

Towards Automatic Bayesian Optimization: A First Step Involving Acquisition Functions. - Luis C. Jariego Pérez; Eduardo C. Garrido-Merchán (CAEPIA, 2021)

Many Objective Bayesian Optimization. - Lucia Asencio-Martín; Eduardo C. Garrido-Merchán (CoRR, 2021)

Multi-class Gaussian Process Classification with Noisy Inputs. - Carlos Villacampa-Calvo; Bryan Zaldivar; Eduardo C. Garrido-Merchán; Daniel Hernández-Lobato (J. Mach. Learn. Res., 2021)

Fuzzy Stochastic Timed Petri Nets for Causal Properties Representation. - Alejandro Sobrino 001; Eduardo C. Garrido-Merchán; Cristina Puente (New Math. Nat. Comput., 2021)

Multi-Objective Hyperparameter Optimization - An Overview. - Florian Karl; Tobias Pielok; Julia Moosbauer; Florian Pfisterer; Stefan Coors; Martin Binder; Lennart Schneider; Janek Thomas; Jakob Richter; Michel Lang; Eduardo C. Garrido-Merchán; Jürgen Branke; et al. (CoRR, 2022)

Do Artificial Intelligence Systems Understand? - Eduardo C. Garrido-Merchán; Carlos Blanco 004 (CoRR, 2022)

On the independence between phenomenal consciousness and computational intelligence. - Eduardo C. Garrido-Merchán; Sara Lumbreras (CoRR, 2022)

Optimizing Integrated Information with a Prior Guided Random Search Algorithm. - Eduardo C. Garrido-Merchán; Javier Sánchez-Cañizares (CoRR, 2022)

A Global Workspace Model Implementation and its Relations with Philosophy of Mind. - Eduardo C. Garrido-Merchán; Martín Molina; Francisco M. Mendoza-Soto (J. Artif. Intell. Conscious., 2022)

ChatGPT is not all you need. A State of the Art Review of large Generative AI models. - Roberto Gozalo-Brizuela; Eduardo C. Garrido-Merchán (CoRR, 2023)

Bayesian Optimization of ESG Financial Investments. - Eduardo C. Garrido-Merchán; Gabriel González Piris; Maria Coronado Vaca (CoRR, 2023)

Fine-tuning ClimateBert transformer with ClimaText for the disclosure analysis of climate-related financial risks. - Eduardo C. Garrido-Merchán; Cristina González-Barthe; Maria Coronado Vaca (CoRR, 2023)

Simulating H.P. Lovecraft horror literature with the ChatGPT large language model. - Eduardo C. Garrido-Merchán; José Luis Arroyo-Barrigüete; Roberto Gozalo-Brizuela (CoRR, 2023)

A survey of Generative AI Applications. - Roberto Gozalo-Brizuela; Eduardo C. Garrido-Merchán (CoRR, 2023)

Deep Reinforcement Learning for ESG financial portfolio management. - Eduardo C. Garrido-Merchán; Sol Mora-Figueroa-Cruz-Guzmán; Maria Coronado Vaca (CoRR, 2023)

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 (CoRR, 2023)

Best uses of ChatGPT and Generative AI for computer science research. - Eduardo C. Garrido-Merchán (CoRR, 2023)

Real Customization or Just Marketing: Are Customized Versions of Chat GPT Useful? - Eduardo C. Garrido-Merchán; José Luis Arroyo-Barrigüete; Francisco Borrás-Pala; Leandro Escobar-Torres; Carlos Martínez de Ibarreta; Jose María Ortiz-Lozano; Antonio Rua-Vieites (CoRR, 2023)

Improved max-value entropy search for multi-objective bayesian optimization with constraints. - Daniel Fernández-Sánchez; Eduardo C. Garrido-Merchán; Daniel Hernández-Lobato (Neurocomputing, 2023)

Parallel predictive entropy search for multi-objective Bayesian optimization with constraints applied to the tuning of machine learning algorithms. - Eduardo C. Garrido-Merchán; Daniel Fernández-Sánchez; Daniel Hernández-Lobato (Expert Syst. Appl., 2023)

Multi-Objective Hyperparameter Optimization in Machine Learning - An Overview. - Florian Karl; Tobias Pielok; Julia Moosbauer; Florian Pfisterer; Stefan Coors; Martin Binder; Lennart Schneider; Janek Thomas; Jakob Richter; Michel Lang; Eduardo C. Garrido-Merchán; Jürgen Branke; et al. (ACM Trans. Evol. Learn. Optim., 2023)

Machine Consciousness as Pseudoscience: The Myth of Conscious Machines. - Eduardo C. Garrido-Merchán (CoRR, 2024)

A Taxonomy of the Biases of the Images created by Generative Artificial Intelligence. - Adriana Fernández de Caleya Vázquez; Eduardo C. Garrido-Merchán (CoRR, 2024)

Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agent. - Alejandra de la Rica Escudero; Eduardo C. Garrido-Merchán; Maria Coronado Vaca (CoRR, 2024)

Deep Reinforcement Learning Agents for Strategic Production Policies in Microeconomic Market Simulations. - Eduardo C. Garrido-Merchán; Maria Coronado Vaca; Álvaro López-López; Carlos Martínez de Ibarreta (CoRR, 2024)

ChatGPT: More Than a "Weapon of Mass Deception" Ethical Challenges and Responses from the Human-Centered Artificial Intelligence (HCAI) Perspective. - Alejo José G. Sison; Marco Tulio Daza; Roberto Gozalo-Brizuela; Eduardo C. Garrido-Merchán (Int. J. Hum. Comput. Interact., 2024)

Alpha entropy search for new information-based Bayesian optimization. - Daniel Fernández-Sánchez; Eduardo C. Garrido-Merchán; Daniel Hernández-Lobato (Knowl. Based Syst., 2025)

Information-theoretic Bayesian Optimization: Survey and Tutorial. - Eduardo C. Garrido-Merchán (CoRR, 2025)

GOFAI meets Generative AI: Development of Expert Systems by means of Large Language Models. - Eduardo C. Garrido-Merchán; Cristina Puente (CoRR, 2025)

An Information-Theoretic Intersectional Data Valuation Theory. - Eduardo C. Garrido-Merchán (CoRR, 2025)