Eduardo C. Garrido-Merchán
Eduardo C. Garrido-Merchán
Assistant Professor of Machine Learning and Statistics. Universidad Pontificia Comillas
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Cited by
Cited by
ChatGPT is not all you need. A State of the Art Review of large Generative AI models
R Gozalo-Brizuela, EC Garrido-Merchan
GRACE: Global Review of AI Community Ethics 1 (1), 2023
Comparing BERT against traditional machine learning models in text classification
EC Garrido-Merchan, R Gozalo-Brizuela, S Gonzalez-Carvajal
Journal of Computational and Cognitive Engineering 2 (4), 352-356, 2023
Dealing with categorical and integer-valued variables in Bayesian optimization with Gaussian processes
EC Garrido-Merchán, D Hernández-Lobato
Neurocomputing 380, 20-35, 2020
Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints
EC Garrido-Merchán, D Hernández-Lobato
Neurocomputing 361, 50-68, 2019
Bayesian optimization of a hybrid system for robust ocean wave features prediction
L Cornejo-Bueno, EC Garrido-Merchán, D Hernández-Lobato, ...
Neurocomputing 275, 818-828, 2018
ChatGPT: More than a weapon of mass deception, ethical challenges and responses from the human-Centered artificial intelligence (HCAI) perspective
AJG Sison, MT Daza, R Gozalo-Brizuela, EC Garrido-Merchán
International Journal of Human–Computer Interaction 39, 2023
A survey of Generative AI Applications
R Gozalo-Brizuela, EC Garrido-Merchán
Journal of Computer Science. 20 (8), 801-818, 2024
Multi-objective hyperparameter optimization in machine learning—An overview
F Karl, T Pielok, J Moosbauer, F Pfisterer, S Coors, M Binder, L Schneider, ...
ACM Transactions on Evolutionary Learning and Optimization 3 (4), 1-50, 2023
Multi-class Gaussian Process Classification with Noisy Inputs
C Villacampa-Calvo, B Zaldívar, EC Garrido-Merchán, ...
Journal of Machine Learning Research 22 (36), 1-52, 2021
A Machine Consciousness Architecture Based on Deep Learning and Gaussian Processes
EC Garrido-Merchán, M Molina
Lecture Notes in Artificial Intelligence (HAIS 2020) 12344, 350-361, 2020
A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications
C Balázs, M van Beekveld, S Caron, BM Dillon, B Farmer, A Fowlie, ...
Journal of High Energy Physics 2021 (5), 1-46, 2021
Parallel predictive entropy search for multi-objective Bayesian optimization with constraints applied to the tuning of machine learning algorithms
EC Garrido-Merchán, D Fernández-Sánchez, D Hernández-Lobato
Expert Systems with Applications 215, 119328, 2023
Improved max-value entropy search for multi-objective bayesian optimization with constraints
D Fernández-Sánchez, EC Garrido-Merchán, D Hernández-Lobato
Neurocomputing 546, 126290, 2023
Creating a natural language summary from a compressed causal graph
C Puente, JA Olivas, E Garrido, R Seisdedos
2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 513-518, 2013
Bayesian optimization of the PC algorithm for learning Gaussian Bayesian networks
I Córdoba, EC Garrido-Merchán, D Hernández-Lobato, C Bielza, ...
Lecture Notes in Artificial Intelligence (CAEPIA 2018) 11160, 44-54, 2018
Suggesting Cooking Recipes Through Simulation and Bayesian Optimization
EC Garrido-Merchán, A Albarca-Molina
Lecture Notes in Computer Science (IDEAL 2018) 11314, 277-284, 2018
A Global Workspace Model Implementation and its Relations with Philosophy of Mind
EC Garrido-Mercháin, M Molina, FM Mendoza-Soto
Journal of Artificial Intelligence and Consciousness 9 (01), 1-28, 2022
Simulating HP Lovecraft horror literature with the ChatGPT large language model
EC Garrido-Merchán, JL Arroyo-Barrigüete, R Gozalo-Brizuela
arXiv preprint arXiv:2305.03429, 2023
Many Objective Bayesian Optimization
L Asencio Martín
Summarizing information by means of causal sentences through causal graphs
C Puente, A Sobrino, JA Olivas, E Garrido
Journal of Applied Logic 24, 3-14, 2017
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