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Eduardo C. Garrido-Merchán
Eduardo C. Garrido-Merchán
Assistant Professor of Machine Learning and Statistics. Universidad Pontificia Comillas
Verified email at icade.comillas.edu
Title
Cited by
Cited by
Year
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
279*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
2462020
ChatGPT is not all you need. A State of the Art Review of large Generative AI models
R Gozalo-Brizuela, EC Garrido-Merchan
arXiv preprint arXiv:2301.04655, 2023
1972023
Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints
EC Garrido-Merchán, D Hernández-Lobato
Neurocomputing 361, 50-68, 2019
792019
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
722018
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
arXiv preprint arXiv:2304.11215, 2023
432023
A survey of Generative AI Applications
R Gozalo-Brizuela, EC Garrido-Merchán
arXiv preprint arXiv:2306.02781, 2023
292023
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
242021
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
20*2023
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
202021
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
20*2020
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
162013
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
152018
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
152018
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
14*2023
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
12*2022
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
10*2023
Simulating HP Lovecraft horror literature with the ChatGPT large language model
EC Garrido-Merchán, JL Arroyo-Barrigüete, R Gozalo-Brihuela
arXiv preprint arXiv:2305.03429, 2023
102023
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
72017
Many Objective Bayesian Optimization
L Asencio Martín
6*2021
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Articles 1–20