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Emilio Serrano
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Journal Articles
- 2024
- [j38]Ignacio-Iker Prado-Rujas, Antonio García Dopico, Emilio Serrano, M. Luisa Córdoba, María S. Pérez:
A multivariable sensor-agnostic framework for spatio-temporal air quality forecasting based on Deep Learning. Eng. Appl. Artif. Intell. 127(Part A): 107271 (2024) - [j37]Ruben Gonzalez-Sendino, Emilio Serrano, Javier Bajo:
Mitigating bias in artificial intelligence: Fair data generation via causal models for transparent and explainable decision-making. Future Gener. Comput. Syst. 155: 384-401 (2024) - [j36]Damiano Zanardini, Emilio Serrano:
Introducing new node prediction in graph mining: Predicting all links from isolated nodes with Graph Neural Networks. Neurocomputing 609: 128474 (2024) - [j35]Paloma Tejera-Nevado, Emilio Serrano, Ana González-Herrero, Rodrigo Bermejo-Moreno, Alejandro Rodríguez González:
Unlocking the power of AI models: exploring protein folding prediction through comparative analysis. J. Integr. Bioinform. 21(2) (2024) - [j34]Elvira Amador-Domínguez, Emilio Serrano, Daniel Manrique:
Neurosymbolic system profiling: A template-based approach. Knowl. Based Syst. 287: 111441 (2024) - [j33]Gabriel Reale-Nosei, Elvira Amador-Domínguez, Emilio Serrano:
From vision to text: A comprehensive review of natural image captioning in medical diagnosis and radiology report generation. Medical Image Anal. 97: 103264 (2024) - 2023
- [j32]Adrián Ayuso Muñoz, Lucía Prieto Santamaría, Esther Ugarte Carro, Emilio Serrano, Alejandro Rodríguez González:
Uncovering hidden therapeutic indications through drug repurposing with graph neural networks and heterogeneous data. Artif. Intell. Medicine 145: 102687 (2023) - [j31]Elvira Amador-Domínguez, Emilio Serrano, Daniel Manrique:
GEnI: A framework for the generation of explanations and insights of knowledge graph embedding predictions. Neurocomputing 521: 199-212 (2023) - [j30]Ignacio-Iker Prado-Rujas, Emilio Serrano, Antonio García Dopico, M. Luisa Córdoba, María S. Pérez:
Combining heterogeneous data sources for spatio-temporal mobility demand forecasting. Inf. Fusion 91: 1-12 (2023) - 2021
- [j29]Ignacio-Iker Prado-Rujas, Antonio García Dopico, Emilio Serrano, María S. Pérez:
A Flexible and Robust Deep Learning-Based System for Solar Irradiance Forecasting. IEEE Access 9: 12348-12361 (2021) - [j28]Elvira Amador-Domínguez, Emilio Serrano, Daniel Manrique:
A hierarchical multi-agent architecture based on virtual identities to explain black-box personalization policies. Expert Syst. Appl. 186: 115731 (2021) - [j27]Elvira Amador-Domínguez, Emilio Serrano, Daniel Manrique, Javier Bajo:
A Case-Based Reasoning Model Powered by Deep Learning for Radiology Report Recommendation. Int. J. Interact. Multim. Artif. Intell. 7(2): 15 (2021) - [j26]Elvira Amador-Domínguez, Emilio Serrano, Daniel Manrique, Patrick Hohenecker, Thomas Lukasiewicz:
An ontology-based deep learning approach for triple classification with out-of-knowledge-base entities. Inf. Sci. 564: 85-102 (2021) - 2020
- [j25]Francisco Laport, Emilio Serrano, Javier Bajo:
A multi-agent architecture for mobile sensing systems. J. Ambient Intell. Humaniz. Comput. 11(11): 4439-4451 (2020) - [j24]Francisco Laport-López, Emilio Serrano, Javier Bajo, Andrew T. Campbell:
A review of mobile sensing systems, applications, and opportunities. Knowl. Inf. Syst. 62(1): 145-174 (2020) - [j23]Emilio Serrano, Javier Bajo:
Discovering Hidden Mental States in Open Multi-Agent Systems by Leveraging Multi-Protocol Regularities with Machine Learning. Sensors 20(18): 5198 (2020) - [j22]Pablo Ramos-Criado, Dolores Barrios Rolanía, Daniel Manrique, Emilio Serrano:
Grammatically uniform population initialization for grammar-guided genetic programming. Soft Comput. 24(15): 11265-11282 (2020) - 2019
- [j21]Emilio Serrano, Javier Bajo:
Deep neural network architectures for social services diagnosis in smart cities. Future Gener. Comput. Syst. 100: 122-131 (2019) - [j20]Emilio Serrano, Mari Carmen Suárez-Figueroa, Jacinto González-Pachón, Asunción Gómez-Pérez:
Toward proactive social inclusion powered by machine learning. Knowl. Inf. Syst. 58(3): 651-667 (2019) - [j19]Elvira Amador-Domínguez, Emilio Serrano, Daniel Manrique, Juan F. De Paz:
Prediction and Decision-Making in Intelligent Environments Supported by Knowledge Graphs, A Systematic Review. Sensors 19(8): 1774 (2019) - 2016
- [j18]Emilio Serrano, Carlos Angel Iglesias:
Validating viral marketing strategies in Twitter via agent-based social simulation. Expert Syst. Appl. 50: 140-150 (2016) - [j17]Jesús M. Sánchez, Álvaro Carrera, Carlos Angel Iglesias, Emilio Serrano:
A Participatory Agent-Based Simulation for Indoor Evacuation Supported by Google Glass. Sensors 16(9): 1360 (2016) - 2015
- [j16]Miguel Coronado, Carlos Angel Iglesias, Emilio Serrano:
Modelling rules for automating the Evented WEb by semantic technologies. Expert Syst. Appl. 42(21): 7979-7990 (2015) - [j15]Francisco Campuzano, Teresa García-Valverde, Juan A. Botía, Emilio Serrano:
Generation of human computational models with machine learning. Inf. Sci. 293: 97-114 (2015) - 2014
- [j14]Teresa García-Valverde, Emilio Serrano, Juan A. Botía Blaya:
Combining the real world with simulations for a robust testing of Ambient Intelligence services. Artif. Intell. Rev. 42(4): 723-746 (2014) - [j13]Emilio Serrano, Jose M. Such, Juan A. Botía, Ana García-Fornes:
Strategies for avoiding preference profiling in agent-based e-commerce environments. Appl. Intell. 40(1): 127-142 (2014) - [j12]Francisco Campuzano, Teresa García-Valverde, Emilio Serrano, Juan A. Botía:
Generation of human computational models with knowledge engineering. Eng. Appl. Artif. Intell. 35: 259-276 (2014) - [j11]Emilio Serrano, Pablo Moncada, Mercedes Garijo, Carlos Angel Iglesias:
Evaluating social choice techniques into intelligent environments by agent based social simulation. Inf. Sci. 286: 102-124 (2014) - [j10]Emilio Serrano, Geovanny Poveda Cardona, Mercedes Garijo:
Towards a Holistic Framework for the Evaluation of Emergency Plans in Indoor Environments. Sensors 14(3): 4513-4535 (2014) - 2013
- [j9]Celia Gutiérrez, Iván García-Magariño, Emilio Serrano, Juan A. Botía:
Robust design of multi-agent system interactions: A testing approach based on pattern matching. Eng. Appl. Artif. Intell. 26(9): 2093-2104 (2013) - [j8]Emilio Serrano, Juan A. Botía:
Validating ambient intelligence based ubiquitous computing systems by means of artificial societies. Inf. Sci. 222: 3-24 (2013) - [j7]Emilio Serrano, Michael Rovatsos, Juan A. Botía:
Data mining agent conversations: A qualitative approach to multiagent systems analysis. Inf. Sci. 230: 132-146 (2013) - [j6]Pablo Campillo-Sanchez, Emilio Serrano, Juan A. Botía:
Testing context-aware services based on smartphones by agent based social simulation. J. Ambient Intell. Smart Environ. 5(3): 311-330 (2013) - 2012
- [j5]Emilio Serrano, Andrés Muñoz, Juan A. Botía:
An approach to debug interactions in multi-agent system software tests. Inf. Sci. 205: 38-57 (2012) - [j4]Teresa García-Valverde, Francisco Campuzano, Emilio Serrano, Ana Villa, Juan A. Botía:
Simulation of human behaviours for the validation of Ambient Intelligence services: A methodological approach. J. Ambient Intell. Smart Environ. 4(3): 163-181 (2012) - [j3]Andrés Muñoz, Emilio Serrano, Ana Villa, Mercedes Valdés, Juan A. Botía:
An Approach for Representing Sensor Data to Validate Alerts in Ambient Assisted Living. Sensors 12(5): 6282-6306 (2012) - 2010
- [j2]Emilio Serrano, Arnaud Quirin, Juan A. Botía, Oscar Cordón:
Debugging complex software systems by means of pathfinder networks. Inf. Sci. 180(5): 561-583 (2010) - 2009
- [j1]Emilio Serrano, Jorge J. Gómez-Sanz, Juan A. Botía, Juan Pavón:
Intelligent data analysis applied to debug complex software systems. Neurocomputing 72(13-15): 2785-2795 (2009)
Conference and Workshop Papers
- 2023
- [c28]Adrián Ayuso Muñoz, Lucía Prieto Santamaría, Andrea Álverez-Pérez, Belén Otero-Carrasco, Emilio Serrano, Alejandro Rodríguez González:
Enhancing Drug Repurposing on Graphs by Integrating Drug Molecular Structure as Feature. CBMS 2023: 192-197 - [c27]Paloma Tejera-Nevado, Emilio Serrano, Ana González-Herrero, Rodrigo Bermejo-Moreno, Alejandro Rodríguez González:
Analysis of the Confidence in the Prediction of the Protein Folding by Artificial Intelligence. PACBB 2023: 84-93 - 2019
- [c26]Elvira Amador-Domínguez, Patrick Hohenecker, Thomas Lukasiewicz, Daniel Manrique, Emilio Serrano:
An Ontology-Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities. DCAI 2019: 125-133 - [c25]Emilio Serrano, Ken Satoh:
An Agent-Based Model for Exploring Pension Law and Social Security Policies. JSAI-isAI Workshops 2019: 50-63 - [c24]Emilio Serrano, Daniel Manrique:
A Moderate Experiential Learning Approach Applied on Data Science. MIS4TEL 2019: 11-18 - [c23]Elvira Amador-Domínguez, Emilio Serrano, Juan David Mateos-Nobre, Alfredo Ayala-Muñoz:
An Intelligent and Autoadaptive System of Virtual Identities Based on Deep Learning for the Analysis of Online Advertising Networks. PAAMS (Workshops) 2019: 302-309 - 2018
- [c22]Juan Carlos García, Emilio Serrano:
Automatic Music Generation by Deep Learning. DCAI 2018: 284-291 - [c21]Emilio Serrano, Pedro del Pozo-Jiménez:
Social Services Diagnosis by Deep Learning. DCAI 2018: 316-323 - [c20]Emilio Serrano, Martin Molina, Daniel Manrique, Javier Bajo:
Challenge-Based Learning in Computational Biology and Data Science. ICTERI Workshops 2018: 725-733 - 2017
- [c19]Emilio Serrano, Javier Bajo:
Towards Social Care Prediction Services Aided by Multi-agent Systems. A2HC@AAMAS/A-HEALTH@PAAMS 2017: 119-130 - [c18]Emilio Serrano, Pedro del Pozo-Jiménez, Mari Carmen Suárez-Figueroa, Jacinto González-Pachón, Javier Bajo, Asunción Gómez-Pérez:
Predicting the risk of suffering chronic social exclusion with machine learning. DCAI 2017: 132-139 - [c17]Emilio Serrano, Martin Molina, Daniel Manrique, Luis Baumela:
Experiential Learning in Data Science: From the Dataset Repository to the Platform of Experiences. Intelligent Environments (Workshops) 2017: 122-130 - [c16]Emilio Serrano, Pedro del Pozo-Jiménez, Mari Carmen Suárez-Figueroa, Jacinto González-Pachón, Javier Bajo, Asunción Gómez-Pérez:
A Multi-agent Architecture for Labeling Data and Generating Prediction Models in the Field of Social Services. PAAMS (Workshops) 2017: 177-184 - 2015
- [c15]Emilio Serrano, Carlos Angel Iglesias, Mercedes Garijo:
A Survey of Twitter Rumor Spreading Simulations. ICCCI (1) 2015: 113-122 - [c14]Ramón Alcarria, Emilio Serrano, Jorge J. Gómez-Sanz, Alberto Fernández:
An Integrated Framework for Enabling End-User Configuration of AmI Simulations for Open Wide Locations. UCAmI 2015: 413-424 - [c13]Emilio Serrano, Carlos Angel Iglesias, Mercedes Garijo:
A Novel Agent-Based Rumor Spreading Model in Twitter. WWW (Companion Volume) 2015: 811-814 - 2014
- [c12]Emilio Serrano, Pablo Moncada, Mercedes Garijo, Carlos Angel Iglesias:
Ambient Intelligence Services Personalization via Social Choice Theory. UCAmI 2014: 452-459 - [c11]Geovanny Poveda Cardona, Emilio Serrano, Mercedes Garijo:
Creating and Validating Emergency Management Services by Social Simulation and Semantic Web Technologies. UCAmI 2014: 460-467 - 2012
- [c10]Emilio Serrano, Michael Rovatsos, Juan A. Botía:
A qualitative reputation system for multiagent systems with protocol-based communication. AAMAS 2012: 307-314 - [c9]Jose M. Such, Emilio Serrano, Vicente J. Botti, Ana García-Fornes:
Strategic pseudonym change in agent-based e-commerce. AAMAS 2012: 1377-1378 - [c8]Francisco Campuzano, Emilio Serrano, Juan A. Botía:
Towards Socio-Chronobiological Computational Human Models. IBERAMIA 2012: 392-401 - 2011
- [c7]Emilio Serrano, Michael Rovatsos, Juan A. Botía:
Mining qualitative context models from multiagent interactions. AAMAS 2011: 1215-1216 - 2010
- [c6]Teresa García-Valverde, Emilio Serrano, Juan A. Botía Blaya:
Social Simulation for AmI Systems Engineering. HAIS (1) 2010: 80-87 - [c5]Teresa García-Valverde, Francisco Campuzano, Emilio Serrano, Juan A. Botía:
Human Behaviours Simulation in Ubiquitous Computing Environments. MALLOW 2010 - 2009
- [c4]Emilio Serrano, Juan A. Botía Blaya, José Manuel Cadenas:
Construction and Debugging of a Multi-Agent Based Simulation to Study Ambient Intelligence Applications. IWANN (1) 2009: 1090-1097 - [c3]Emilio Serrano, Juan A. Botía, José Manuel Cadenas:
Infrastructure for Forensic Analysis of Multi-Agent Based Simulations. PROMAS 2009: 185-200 - 2008
- [c2]Jorge J. Gómez-Sanz, Juan A. Botía Blaya, Emilio Serrano, Juan Pavón:
Testing and Debugging of MAS Interactions with INGENIAS. AOSE 2008: 199-212 - [c1]Emilio Serrano, Juan A. Botía:
Infrastructure for Forensic Analysis of Multi-Agent Systems. ProMAS 2008: 168-183
Informal and Other Publications
- 2024
- [i1]Damiano Zanardini, Emilio Serrano:
Introducing New Node Prediction in Graph Mining: Predicting All Links from Isolated Nodes with Graph Neural Networks. CoRR abs/2401.05468 (2024)
Coauthor Index
aka: Juan A. Botía
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last updated on 2024-10-07 22:18 CEST by the dblp team
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