Eduardo C. Garrido-Merchán

According to our database, Eduardo C. Garrido-Merchán authored at least 40 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., September, 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

A Taxonomy of the Biases of the Images created by Generative Artificial Intelligence.

Adriana Fernández de Caleya Vázquez, Eduardo C. Garrido-Merchán

CoRR, 2024

Machine Consciousness as Pseudoscience: The Myth of Conscious Machines.

Eduardo C. Garrido-Merchán

CoRR, 2024

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, Bernd Bischl

ACM Trans. Evol. Learn. Optim., December, 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., April, 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

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

Best uses of ChatGPT and Generative AI for computer science research.

Eduardo C. Garrido-Merchán

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

Deep Reinforcement Learning for ESG financial portfolio management.

Eduardo C. Garrido-Merchán, Sol Mora-Figueroa-Cruz-Guzmán, Maria Coronado Vaca

CoRR, 2023

A survey of Generative AI Applications.

Roberto Gozalo-Brizuela, Eduardo C. Garrido-Merchán

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

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

Bayesian Optimization of ESG Financial Investments.

Eduardo C. Garrido-Merchán, Gabriel González Piris, Maria Coronado Vaca

CoRR, 2023

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

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

Optimizing Integrated Information with a Prior Guided Random Search Algorithm.

Eduardo C. Garrido-Merchán, Javier Sánchez-Cañizares

CoRR, 2022

On the independence between phenomenal consciousness and computational intelligence.

Eduardo C. Garrido-Merchán, Sara Lumbreras

CoRR, 2022

Do Artificial Intelligence Systems Understand?

Eduardo C. Garrido-Merchán, Carlos Blanco

CoRR, 2022

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, Bernd Bischl

CoRR, 2022

2021

Fuzzy Stochastic Timed Petri Nets for Causal Properties Representation.

Alejandro Sobrino, Eduardo C. Garrido-Merchán, Cristina Puente

New Math. Nat. Comput., 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

Many Objective Bayesian Optimization.

Lucia Asencio-Martín, Eduardo C. Garrido-Merchán

CoRR, 2021

Towards Automatic Bayesian Optimization: A First Step Involving Acquisition Functions.

Luis C. Jariego Pérez, Eduardo C. Garrido-Merchán

Proceedings of the Advances in Artificial Intelligence, 2021

A Similarity Measure of Gaussian Process Predictive Distributions.

Lucia Asencio-Martín, Eduardo C. Garrido-Merchán

Proceedings of the Advances in Artificial Intelligence, 2021

2020

Dealing with categorical and integer-valued variables in Bayesian Optimization with Gaussian processes.

Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato

Neurocomputing, 2020

An artificial consciousness model and its relations with philosophy of mind.

Eduardo C. Garrido-Merchán, Martin Molina, Francisco M. Mendoza

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

Comparing BERT against traditional machine learning text classification.

Santiago González-Carvajal, Eduardo C. Garrido-Merchán

CoRR, 2020

Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints.

Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato

CoRR, 2020

Uncertainty Weighted Causal Graphs.

Eduardo C. Garrido-Merchán, Cristina Puente, Alejandro Sobrino, José A. Olivas

CoRR, 2020

A Machine Consciousness Architecture Based on Deep Learning and Gaussian Processes.

Eduardo C. Garrido-Merchán, Martin Molina

Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

Fake News Detection by Means of Uncertainty Weighted Causal Graphs.

Eduardo C. Garrido-Merchán, Cristina Puente, Rafael Palacios

Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

2019

Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints.

Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato

Neurocomputing, 2019

Generating a Question Answering System from Text Causal Relations.

Eduardo C. Garrido-Merchán, Cristina Puente, José Angel Olivas

Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

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

Suggesting Cooking Recipes Through Simulation and Bayesian Optimization.

Eduardo C. Garrido-Merchán, Alejandro Albarca-Molina

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Bayesian Optimization of the PC Algorithm for Learning Gaussian Bayesian Networks.

Irene Córdoba, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato, Concha Bielza, Pedro Larrañaga

Proceedings of the Advances in Artificial Intelligence, 2018

2017

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

Proceedings of the Advances in Computational Intelligence, 2017