Eduardo C. Garrido-Merchán

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 49

Top Topics

Timed Petri Nets

Machine Learning

Gaussian Process

Top Venues

Publications

Eduardo C. Garrido-Merchán
Machine Consciousness as Pseudoscience: The Myth of Conscious Machines. CoRR (2024)
Adriana Fernández de Caleya Vázquez, Eduardo C. Garrido-Merchán
A Taxonomy of the Biases of the Images created by Generative Artificial Intelligence. CoRR (2024)
Alejandra de la Rica Escudero, Eduardo C. Garrido-Merchán, Maria Coronado Vaca
Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agent. CoRR (2024)
Daniel Fernández-Sánchez, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
Improved max-value entropy search for multi-objective bayesian optimization with constraints. Neurocomputing 546 (2023)
Eduardo C. Garrido-Merchán, Gabriel González Piris, Maria Coronado Vaca
Bayesian Optimization of ESG Financial Investments. CoRR (2023)
Eduardo C. Garrido-Merchán, José Luis Arroyo-Barrigüete, Roberto Gozalo-Brihuela
Simulating H.P. Lovecraft horror literature with the ChatGPT large language model. CoRR (2023)
Roberto Gozalo-Brizuela, Eduardo C. Garrido-Merchán
ChatGPT is not all you need. A State of the Art Review of large Generative AI models. CoRR (2023)
Roberto Gozalo-Brizuela, Eduardo C. Garrido-Merchán
A survey of Generative AI Applications. CoRR (2023)
Alejo José G. Sison, Marco Tulio Daza, Roberto Gozalo-Brizuela, Eduardo C. Garrido-Merchán
ChatGPT: More than a Weapon of Mass Deception, Ethical challenges and responses from the Human-Centered Artificial Intelligence (HCAI) perspective. CoRR (2023)
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
Real Customization or Just Marketing: Are Customized Versions of Chat GPT Useful? CoRR (2023)
Eduardo C. Garrido-Merchán, Sara Lumbreras-Sancho
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 (2023)
Eduardo C. Garrido-Merchán, Cristina González-Barthe, Maria Coronado Vaca
Fine-tuning ClimateBert transformer with ClimaText for the disclosure analysis of climate-related financial risks. CoRR (2023)
Eduardo C. Garrido-Merchán, Daniel Fernández-Sánchez, Daniel Hernández-Lobato
Parallel predictive entropy search for multi-objective Bayesian optimization with constraints applied to the tuning of machine learning algorithms. Expert Syst. Appl. 215 (2023)
Eduardo C. Garrido-Merchán, Sol Mora-Figueroa-Cruz-Guzmán, Maria Coronado Vaca
Deep Reinforcement Learning for ESG financial portfolio management. CoRR (2023)
Eduardo C. Garrido-Merchán
Best uses of ChatGPT and Generative AI for computer science research. CoRR (2023)
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
Multi-Objective Hyperparameter Optimization in Machine Learning - An Overview. ACM Trans. Evol. Learn. Optim. 3 (4) (2023)
Eduardo C. Garrido-Merchán, Martín Molina, Francisco M. Mendoza-Soto
A Global Workspace Model Implementation and its Relations with Philosophy of Mind. J. Artif. Intell. Conscious. 9 (1) (2022)
Eduardo C. Garrido-Merchán, Sara Lumbreras
On the independence between phenomenal consciousness and computational intelligence. CoRR (2022)
Eduardo C. Garrido-Merchán, Javier Sánchez-Cañizares
Optimizing Integrated Information with a Prior Guided Random Search Algorithm. CoRR (2022)
Eduardo C. Garrido-Merchán, Carlos Blanco
Do Artificial Intelligence Systems Understand? CoRR (2022)
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
Multi-Objective Hyperparameter Optimization - An Overview. CoRR (2022)
Luis C. Jariego Pérez, Eduardo C. Garrido-Merchán
Towards Automatic Bayesian Optimization: A First Step Involving Acquisition Functions. CAEPIA (2021)
Carlos Villacampa-Calvo, Bryan Zaldivar, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
Multi-class Gaussian Process Classification with Noisy Inputs. J. Mach. Learn. Res. 22 (2021)
Alejandro Sobrino, Eduardo C. Garrido-Merchán, Cristina Puente
Fuzzy Stochastic Timed Petri Nets for Causal Properties Representation. New Math. Nat. Comput. 17 (3) (2021)
Lucia Asencio-Martín, Eduardo C. Garrido-Merchán
Many Objective Bayesian Optimization. CoRR (2021)
Lucia Asencio-Martín, Eduardo C. Garrido-Merchán
A Similarity Measure of Gaussian Process Predictive Distributions. CAEPIA (2021)
Lucia Asencio-Martín, Eduardo C. Garrido-Merchán
A Similarity Measure of Gaussian Process Predictive Distributions. CoRR (2021)
Eduardo C. Garrido-Merchán, Cristina Puente, Rafael Palacios
Fake News Detection by Means of Uncertainty Weighted Causal Graphs. HAIS (2020)
Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints. CoRR (2020)
Carlos Villacampa-Calvo, Bryan Zaldivar, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
Multi-class Gaussian Process Classification with Noisy Inputs. CoRR (2020)
Eduardo C. Garrido-Merchán, Martin Molina, Francisco M. Mendoza
An artificial consciousness model and its relations with philosophy of mind. CoRR (2020)
Eduardo C. Garrido-Merchán, Martín Molina
A Machine Consciousness architecture based on Deep Learning and Gaussian Processes. CoRR (2020)
Eduardo C. Garrido-Merchán, Luis C. Jariego Pérez
Towards Automatic Bayesian Optimization: A first step involving acquisition functions. CoRR (2020)
Daniel Fernández-Sánchez, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
Max-value Entropy Search for Multi-objective Bayesian Optimization with Constraints. CoRR (2020)
Santiago González-Carvajal, Eduardo C. Garrido-Merchán
Comparing BERT against traditional machine learning text classification. CoRR (2020)
Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
Dealing with categorical and integer-valued variables in Bayesian Optimization with Gaussian processes. Neurocomputing 380 (2020)
Alejandro Sobrino, Eduardo C. Garrido-Merchán, Cristina Puente
Fuzzy Stochastic Timed Petri Nets for Causal properties representation. CoRR (2020)
Eduardo C. Garrido-Merchán, Martin Molina
A Machine Consciousness Architecture Based on Deep Learning and Gaussian Processes. HAIS (2020)
Eduardo C. Garrido-Merchán, Cristina Puente, Rafael Palacios
Fake News Detection by means of Uncertainty Weighted Causal Graphs. CoRR (2020)
Eduardo C. Garrido-Merchán, Cristina Puente, Alejandro Sobrino, José A. Olivas
Uncertainty Weighted Causal Graphs. CoRR (2020)
Eduardo C. Garrido-Merchán, Cristina Puente, José Angel Olivas
Generating a Question Answering System from Text Causal Relations. HAIS (2019)
Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints. Neurocomputing 361 (2019)
Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
Dealing with Categorical and Integer-valued Variables in Bayesian Optimization with Gaussian Processes. CoRR (2018)
Laura Cornejo-Bueno, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato, Sancho Salcedo-Sanz
Bayesian optimization of a hybrid system for robust ocean wave features prediction. Neurocomputing 275 (2018)
Irene Córdoba-Sánchez, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato, Concha Bielza, Pedro Larrañaga
Bayesian optimization of the PC algorithm for learning Gaussian Bayesian networks. CoRR (2018)
Eduardo C. Garrido-Merchán, Alejandro Albarca-Molina
Suggesting Cooking Recipes Through Simulation and Bayesian Optimization. CoRR (2018)
Irene Córdoba, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato, Concha Bielza, Pedro Larrañaga
Bayesian Optimization of the PC Algorithm for Learning Gaussian Bayesian Networks. CAEPIA (2018)
Eduardo C. Garrido-Merchán, Alejandro Albarca-Molina
Suggesting Cooking Recipes Through Simulation and Bayesian Optimization. IDEAL (1) (2018)
Laura Cornejo-Bueno, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato, Sancho Salcedo-Sanz
Bayesian Optimization of a Hybrid Prediction System for Optimal Wave Energy Estimation Problems. IWANN (1) (2017)