Eduardo C. Garrido-Merchán

63 papers Misc 3Journal 55Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Default Machine Learning Hyperparameters Do Not Provide Informative Initialization for Bayesian Optimization. CoRR Nicolás Villagrán Prieto, Eduardo C. Garrido-Merchán
2026	J	`jnl`	Fine-Tuning Large Language Models for Automatic Detection of Sexually Explicit Content in Spanish-Language Song Lyrics. CoRR Dolores Zamacola Sánchez de Lamadrid, Eduardo C. Garrido-Merchán
2026	J	`jnl`	Fine-tuning ClimateBert transformer with ClimaText for the disclosure analysis of climate-related issues in corporates' financial and non-financial reports. Neural Comput. Appl. Eduardo C. Garrido-Merchán, Cristina González-Barthe, María Coronado-Vaca
2026	J	`jnl`	Intersectional Data and the Social Cost of Digital Extraction: A Pigouvian Surcharge. CoRR Eduardo C. Garrido-Merchán
2026	J	`jnl`	Personal Data as a Human Right: A New Social Contract Based on Data Sovereignty, Human Dignity and Data Personalism. CoRR J. M. Alvarez-Pallete, R. Calderón, M. T. Corzo, Eduardo C. Garrido-Merchán, G. López, I. Navarro-Mendizábal, S. Padilla, A. Padín, R. Redondo
2026	J	`jnl`	When Machines Get It Wrong: Large Language Models Perpetuate Autism Myths More Than Humans Do. CoRR Eduardo C. Garrido-Merchán, Adriana Constanza Cirera Tirschtigel
2025	J	`jnl`	Alpha entropy search for new information-based Bayesian optimization. Knowl. Based Syst. Daniel Fernández-Sánchez, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
2025	J	`jnl`	An Information-Theoretic Intersectional Data Valuation Theory. CoRR Eduardo C. Garrido-Merchán
2025	J	`jnl`	GOFAI meets Generative AI: Development of Expert Systems by means of Large Language Models. CoRR Eduardo C. Garrido-Merchán, Cristina Puente
2025	J	`jnl`	Information-theoretic Bayesian Optimization: Survey and Tutorial. CoRR Eduardo C. Garrido-Merchán
2025	J	`jnl`	Multi-Objective Bayesian Optimization of Deep Reinforcement Learning for Environmental, Social, and Governance (ESG) Financial Portfolio Management. Intell. Syst. Account. Finance Manag. Eduardo C. Garrido-Merchán, Sol Mora-Figueroa, María Coronado-Vaca
2024	J	`jnl`	A Taxonomy of the Biases of the Images created by Generative Artificial Intelligence. CoRR Adriana Fernández de Caleya Vázquez, Eduardo C. Garrido-Merchán
2024	J	`jnl`	Alpha Entropy Search for New Information-based Bayesian Optimization. CoRR Daniel Fernández-Sánchez, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
2024	J	`jnl`	ChatGPT: More Than a "Weapon of Mass Deception" Ethical Challenges and Responses from the Human-Centered Artificial Intelligence (HCAI) Perspective. Int. J. Hum. Comput. Interact. Alejo José G. Sison, Marco Tulio Daza, Roberto Gozalo-Brizuela, Eduardo C. Garrido-Merchán
2024	J	`jnl`	Deep Reinforcement Learning Agents for Strategic Production Policies in Microeconomic Market Simulations. CoRR Eduardo C. Garrido-Merchán, María Coronado-Vaca, Álvaro López-López, Carlos Martínez de Ibarreta
2024	J	`jnl`	Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agent. CoRR Alejandra de la Rica Escudero, Eduardo C. Garrido-Merchán, María Coronado-Vaca
2024	J	`jnl`	Machine Consciousness as Pseudoscience: The Myth of Conscious Machines. CoRR Eduardo C. Garrido-Merchán
2023	J	`jnl`	A survey of Generative AI Applications. CoRR Roberto Gozalo-Brizuela, Eduardo C. Garrido-Merchán
2023	J	`jnl`	Bayesian Optimization of ESG Financial Investments. CoRR Eduardo C. Garrido-Merchán, Gabriel González Piris, María Coronado-Vaca
2023	J	`jnl`	Best uses of ChatGPT and Generative AI for computer science research. CoRR Eduardo C. Garrido-Merchán
2023	J	`jnl`	ChatGPT is not all you need. A State of the Art Review of large Generative AI models. CoRR Roberto Gozalo-Brizuela, Eduardo C. Garrido-Merchán
2023	J	`jnl`	ChatGPT: More than a Weapon of Mass Deception, Ethical challenges and responses from the Human-Centered Artificial Intelligence (HCAI) perspective. CoRR Alejo José G. Sison, Marco Tulio Daza, Roberto Gozalo-Brizuela, Eduardo C. Garrido-Merchán
2023	J	`jnl`	Deep Reinforcement Learning for ESG financial portfolio management. CoRR Eduardo C. Garrido-Merchán, Sol Mora-Figueroa-Cruz-Guzmán, María Coronado-Vaca
2023	J	`jnl`	Fine-tuning ClimateBert transformer with ClimaText for the disclosure analysis of climate-related financial risks. CoRR Eduardo C. Garrido-Merchán, Cristina González-Barthe, María Coronado-Vaca
2023	J	`jnl`	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. CoRR Eduardo C. Garrido-Merchán, Sara Lumbreras-Sancho
2023	J	`jnl`	Improved max-value entropy search for multi-objective bayesian optimization with constraints. Neurocomputing Daniel Fernández-Sánchez, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
2023	J	`jnl`	Multi-Objective Hyperparameter Optimization in Machine Learning - An Overview. ACM Trans. Evol. Learn. Optim. 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, Bernd Bischl
2023	J	`jnl`	Parallel predictive entropy search for multi-objective Bayesian optimization with constraints applied to the tuning of machine learning algorithms. Expert Syst. Appl. Eduardo C. Garrido-Merchán, Daniel Fernández-Sánchez, Daniel Hernández-Lobato
2023	J	`jnl`	Real Customization or Just Marketing: Are Customized Versions of Chat GPT Useful? CoRR 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
2023	J	`jnl`	Simulating H.P. Lovecraft horror literature with the ChatGPT large language model. CoRR Eduardo C. Garrido-Merchán, José Luis Arroyo-Barrigüete, Roberto Gozalo-Brizuela
2022	J	`jnl`	A Global Workspace Model Implementation and its Relations with Philosophy of Mind. J. Artif. Intell. Conscious. Eduardo C. Garrido-Merchán, Martín Molina, Francisco M. Mendoza-Soto
2022	J	`jnl`	Do Artificial Intelligence Systems Understand? CoRR Eduardo C. Garrido-Merchán, Carlos Blanco
2022	J	`jnl`	Multi-Objective Hyperparameter Optimization - An Overview. CoRR 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, Bernd Bischl
2022	J	`jnl`	On the independence between phenomenal consciousness and computational intelligence. CoRR Eduardo C. Garrido-Merchán, Sara Lumbreras
2022	J	`jnl`	Optimizing Integrated Information with a Prior Guided Random Search Algorithm. CoRR Eduardo C. Garrido-Merchán, Javier Sánchez-Cañizares
2021	—	`conf`	A Similarity Measure of Gaussian Process Predictive Distributions. CAEPIA Lucia Asencio-Martín, Eduardo C. Garrido-Merchán
2021	J	`jnl`	A Similarity Measure of Gaussian Process Predictive Distributions. CoRR Lucia Asencio-Martín, Eduardo C. Garrido-Merchán
2021	J	`jnl`	Fuzzy Stochastic Timed Petri Nets for Causal Properties Representation. New Math. Nat. Comput. Alejandro Sobrino, Eduardo C. Garrido-Merchán, Cristina Puente
2021	J	`jnl`	Many Objective Bayesian Optimization. CoRR Lucia Asencio-Martín, Eduardo C. Garrido-Merchán
2021	J	`jnl`	Multi-class Gaussian Process Classification with Noisy Inputs. J. Mach. Learn. Res. Carlos Villacampa-Calvo, Bryan Zaldivar, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
2021	—	`conf`	Towards Automatic Bayesian Optimization: A First Step Involving Acquisition Functions. CAEPIA Luis C. Jariego Pérez, Eduardo C. Garrido-Merchán
2020	Misc	`conf`	A Machine Consciousness Architecture Based on Deep Learning and Gaussian Processes. HAIS Eduardo C. Garrido-Merchán, Martin Molina
2020	J	`jnl`	A Machine Consciousness architecture based on Deep Learning and Gaussian Processes. CoRR Eduardo C. Garrido-Merchán, Martín Molina
2020	J	`jnl`	An artificial consciousness model and its relations with philosophy of mind. CoRR Eduardo C. Garrido-Merchán, Martin Molina, Francisco M. Mendoza
2020	J	`jnl`	Comparing BERT against traditional machine learning text classification. CoRR Santiago González-Carvajal, Eduardo C. Garrido-Merchán
2020	J	`jnl`	Dealing with categorical and integer-valued variables in Bayesian Optimization with Gaussian processes. Neurocomputing Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
2020	Misc	`conf`	Fake News Detection by Means of Uncertainty Weighted Causal Graphs. HAIS Eduardo C. Garrido-Merchán, Cristina Puente, Rafael Palacios
2020	J	`jnl`	Fake News Detection by means of Uncertainty Weighted Causal Graphs. CoRR Eduardo C. Garrido-Merchán, Cristina Puente, Rafael Palacios
2020	J	`jnl`	Fuzzy Stochastic Timed Petri Nets for Causal properties representation. CoRR Alejandro Sobrino, Eduardo C. Garrido-Merchán, Cristina Puente
2020	J	`jnl`	Max-value Entropy Search for Multi-objective Bayesian Optimization with Constraints. CoRR Daniel Fernández-Sánchez, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
2020	J	`jnl`	Multi-class Gaussian Process Classification with Noisy Inputs. CoRR Carlos Villacampa-Calvo, Bryan Zaldivar, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
2020	J	`jnl`	Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints. CoRR Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
2020	J	`jnl`	Towards Automatic Bayesian Optimization: A first step involving acquisition functions. CoRR Eduardo C. Garrido-Merchán, Luis C. Jariego Pérez
2020	J	`jnl`	Uncertainty Weighted Causal Graphs. CoRR Eduardo C. Garrido-Merchán, Cristina Puente, Alejandro Sobrino, José A. Olivas
2019	Misc	`conf`	Generating a Question Answering System from Text Causal Relations. HAIS Eduardo C. Garrido-Merchán, Cristina Puente, José Angel Olivas
2019	J	`jnl`	Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints. Neurocomputing Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
2018	—	`conf`	Bayesian Optimization of the PC Algorithm for Learning Gaussian Bayesian Networks. CAEPIA Irene Córdoba, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato, Concha Bielza, Pedro Larrañaga
2018	J	`jnl`	Bayesian optimization of a hybrid system for robust ocean wave features prediction. Neurocomputing Laura Cornejo-Bueno, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato, Sancho Salcedo-Sanz
2018	J	`jnl`	Bayesian optimization of the PC algorithm for learning Gaussian Bayesian networks. CoRR Irene Córdoba-Sánchez, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato, Concha Bielza, Pedro Larrañaga
2018	J	`jnl`	Dealing with Categorical and Integer-valued Variables in Bayesian Optimization with Gaussian Processes. CoRR Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
2018	—	`conf`	Suggesting Cooking Recipes Through Simulation and Bayesian Optimization. IDEAL (1) Eduardo C. Garrido-Merchán, Alejandro Albarca-Molina
2018	J	`jnl`	Suggesting Cooking Recipes Through Simulation and Bayesian Optimization. CoRR Eduardo C. Garrido-Merchán, Alejandro Albarca-Molina
2017	—	`conf`	Bayesian Optimization of a Hybrid Prediction System for Optimal Wave Energy Estimation Problems. IWANN (1) Laura Cornejo-Bueno, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato, Sancho Salcedo-Sanz