| 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, 2022 | 225* | 2022 |
| Dealing with categorical and integer-valued variables in Bayesian optimization with Gaussian processes EC Garrido-Merchán, D Hernández-Lobato Neurocomputing 380, 20-35, 2020 | 208 | 2020 |
| 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 | 91 | 2023 |
| Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints EC Garrido-Merchán, D Hernández-Lobato Neurocomputing 361, 50-68, 2019 | 73 | 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 | 65 | 2018 |
| 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 | 19 | 2021 |
| 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 | 18 | 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 | 18* | 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 | 16 | 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 | 15 | 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 | 14 | 2018 |
| 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, 2023 | 13* | 2023 |
| 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 | 12* | 2023 |
| 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 | 10 | 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 | 9* | 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 | 8 | 2023 |
| 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 | 6 | 2017 |
| 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 | 4 | 2023 |
| Many Objective Bayesian Optimization L Asencio Martín | 4* | 2021 |
| A survey of Generative AI Applications R Gozalo-Brizuela, EC Garrido-Merchán arXiv preprint arXiv:2306.02781, 2023 | 3 | 2023 |
Daniel Hernández-LobatoAssociate Professor, Universidad Autónoma de MadridVerified email at uam.es
