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Eduardo C. Garrido-Merchán
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2020 – today
- 2025
- [i35]Eduardo C. Garrido-Merchán:
Information-theoretic Bayesian Optimization: Survey and Tutorial. CoRR abs/2502.06789 (2025) - 2024
- [j10]Alejo José G. Sison
, Marco Tulio Daza
ChatGPT: More Than a "Weapon of Mass Deception" Ethical Challenges and Responses from the Human-Centered Artificial Intelligence (HCAI) Perspective. Int. J. Hum. Comput. Interact. 40(17): 4853-4872 (2024) - [i34]Eduardo C. Garrido-Merchán:
Machine Consciousness as Pseudoscience: The Myth of Conscious Machines. CoRR abs/2405.07340 (2024) - [i33]Adriana Fernández de Caleya Vázquez, Eduardo C. Garrido-Merchán:
A Taxonomy of the Biases of the Images created by Generative Artificial Intelligence. CoRR abs/2407.01556 (2024) - [i32]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 abs/2407.14486 (2024) - [i31]Eduardo C. Garrido-Merchán, Maria Coronado Vaca
Deep Reinforcement Learning Agents for Strategic Production Policies in Microeconomic Market Simulations. CoRR abs/2410.20550 (2024) - [i30]Daniel Fernández-Sánchez, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato:
Alpha Entropy Search for New Information-based Bayesian Optimization. CoRR abs/2411.16586 (2024) - 2023
- [j9]Eduardo C. Garrido-Merchán
Parallel predictive entropy search for multi-objective Bayesian optimization with constraints applied to the tuning of machine learning algorithms. Expert Syst. Appl. 215: 119328 (2023) - [j8]Daniel Fernández-Sánchez
Improved max-value entropy search for multi-objective bayesian optimization with constraints. Neurocomputing 546: 126290 (2023) - [j7]Florian Karl
Multi-Objective Hyperparameter Optimization in Machine Learning - An Overview. ACM Trans. Evol. Learn. Optim. 3(4): 16:1-16:50 (2023) - [i29]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 abs/2301.04655 (2023) - [i28]Eduardo C. Garrido-Merchán, Gabriel González Piris, Maria Coronado Vaca
Bayesian Optimization of ESG Financial Investments. CoRR abs/2303.01485 (2023) - [i27]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 abs/2303.13373 (2023) - [i26]Alejo José G. Sison, Marco Tulio Daza
ChatGPT: More than a Weapon of Mass Deception, Ethical challenges and responses from the Human-Centered Artificial Intelligence (HCAI) perspective. CoRR abs/2304.11215 (2023) - [i25]Eduardo C. Garrido-Merchán, José Luis Arroyo-Barrigüete, Roberto Gozalo-Brizuela:
Simulating H.P. Lovecraft horror literature with the ChatGPT large language model. CoRR abs/2305.03429 (2023) - [i24]Roberto Gozalo-Brizuela, Eduardo C. Garrido-Merchán:
A survey of Generative AI Applications. CoRR abs/2306.02781 (2023) - [i23]Eduardo C. Garrido-Merchán, Sol Mora-Figueroa-Cruz-Guzmán, Maria Coronado Vaca:
Deep Reinforcement Learning for ESG financial portfolio management. CoRR abs/2307.09631 (2023) - [i22]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 abs/2307.11119 (2023) - [i21]Eduardo C. Garrido-Merchán:
Best uses of ChatGPT and Generative AI for computer science research. CoRR abs/2311.11175 (2023) - [i20]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 abs/2312.03728 (2023) - 2022
- [j6]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): 1-28 (2022) - [i19]Florian Karl, Tobias Pielok, Julia Moosbauer, Florian Pfisterer, Stefan Coors, Martin Binder, Lennart Schneider, Janek Thomas, Jakob Richter
Multi-Objective Hyperparameter Optimization - An Overview. CoRR abs/2206.07438 (2022) - [i18]Eduardo C. Garrido-Merchán, Carlos Blanco:
Do Artificial Intelligence Systems Understand? CoRR abs/2207.11089 (2022) - [i17]Eduardo C. Garrido-Merchán, Sara Lumbreras:
On the independence between phenomenal consciousness and computational intelligence. CoRR abs/2208.02187 (2022) - [i16]Eduardo C. Garrido-Merchán, Javier Sánchez-Cañizares:
Optimizing Integrated Information with a Prior Guided Random Search Algorithm. CoRR abs/2212.04589 (2022) - 2021
- [j5]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: 36:1-36:52 (2021) - [j4]Alejandro Sobrino, Eduardo C. Garrido-Merchán
Fuzzy Stochastic Timed Petri Nets for Causal Properties Representation. New Math. Nat. Comput. 17(3): 633-653 (2021) - [c8]Lucia Asencio-Martín, Eduardo C. Garrido-Merchán:
A Similarity Measure of Gaussian Process Predictive Distributions. CAEPIA 2021: 150-159 - [c7]Luis C. Jariego Pérez, Eduardo C. Garrido-Merchán:
Towards Automatic Bayesian Optimization: A First Step Involving Acquisition Functions. CAEPIA 2021: 160-169 - [i15]Lucia Asencio-Martín, Eduardo C. Garrido-Merchán:
A Similarity Measure of Gaussian Process Predictive Distributions. CoRR abs/2101.08061 (2021) - [i14]Lucia Asencio-Martín, Eduardo C. Garrido-Merchán:
Many Objective Bayesian Optimization. CoRR abs/2107.04126 (2021) - 2020
- [j3]Eduardo C. Garrido-Merchán
Dealing with categorical and integer-valued variables in Bayesian Optimization with Gaussian processes. Neurocomputing 380: 20-35 (2020) - [c6]Eduardo C. Garrido-Merchán
Fake News Detection by Means of Uncertainty Weighted Causal Graphs. HAIS 2020: 13-24 - [c5]Eduardo C. Garrido-Merchán
A Machine Consciousness Architecture Based on Deep Learning and Gaussian Processes. HAIS 2020: 350-361 - [i13]Carlos Villacampa-Calvo, Bryan Zaldivar, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato:
Multi-class Gaussian Process Classification with Noisy Inputs. CoRR abs/2001.10523 (2020) - [i12]Eduardo C. Garrido-Merchán, Cristina Puente, Alejandro Sobrino, José A. Olivas:
Uncertainty Weighted Causal Graphs. CoRR abs/2002.00429 (2020) - [i11]Eduardo C. Garrido-Merchán, Martín Molina:
A Machine Consciousness architecture based on Deep Learning and Gaussian Processes. CoRR abs/2002.00509 (2020) - [i10]Eduardo C. Garrido-Merchán, Cristina Puente, Rafael Palacios:
Fake News Detection by means of Uncertainty Weighted Causal Graphs. CoRR abs/2002.01065 (2020) - [i9]Eduardo C. Garrido-Merchán, Luis C. Jariego Pérez:
Towards Automatic Bayesian Optimization: A first step involving acquisition functions. CoRR abs/2003.09643 (2020) - [i8]Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato:
Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints. CoRR abs/2004.00601 (2020) - [i7]Santiago González-Carvajal, Eduardo C. Garrido-Merchán:
Comparing BERT against traditional machine learning text classification. CoRR abs/2005.13012 (2020) - [i6]Daniel Fernández-Sánchez, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato:
Max-value Entropy Search for Multi-objective Bayesian Optimization with Constraints. CoRR abs/2011.01150 (2020) - [i5]Alejandro Sobrino, Eduardo C. Garrido-Merchán, Cristina Puente:
Fuzzy Stochastic Timed Petri Nets for Causal properties representation. CoRR abs/2011.12075 (2020) - [i4]Eduardo C. Garrido-Merchán, Martin Molina, Francisco M. Mendoza:
An artificial consciousness model and its relations with philosophy of mind. CoRR abs/2011.14475 (2020)
2010 – 2019
- 2019
- [j2]Eduardo C. Garrido-Merchán
Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints. Neurocomputing 361: 50-68 (2019) - [c4]Eduardo C. Garrido-Merchán
Generating a Question Answering System from Text Causal Relations. HAIS 2019: 14-25 - 2018
- [j1]Laura Cornejo-Bueno
Bayesian optimization of a hybrid system for robust ocean wave features prediction. Neurocomputing 275: 818-828 (2018) - [c3]Irene Córdoba
Bayesian Optimization of the PC Algorithm for Learning Gaussian Bayesian Networks. CAEPIA 2018: 44-54 - [c2]Eduardo C. Garrido-Merchán
Suggesting Cooking Recipes Through Simulation and Bayesian Optimization. IDEAL (1) 2018: 277-284 - [i3]Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato:
Dealing with Categorical and Integer-valued Variables in Bayesian Optimization with Gaussian Processes. CoRR abs/1805.03463 (2018) - [i2]Irene Córdoba-Sánchez
Bayesian optimization of the PC algorithm for learning Gaussian Bayesian networks. CoRR abs/1806.11015 (2018) - [i1]Eduardo C. Garrido-Merchán, Alejandro Albarca-Molina:
Suggesting Cooking Recipes Through Simulation and Bayesian Optimization. CoRR abs/1811.03868 (2018) - 2017
- [c1]Laura Cornejo-Bueno
Bayesian Optimization of a Hybrid Prediction System for Optimal Wave Energy Estimation Problems. IWANN (1) 2017: 648-660
Coauthor Index
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last updated on 2025-03-13 20:21 CET by the dblp team
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