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ORCIDAurora González-Vidal
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2020 – today
- 2024
[j19]José Mendoza-Bernal, Aurora González-Vidal
, Antonio F. Skarmeta:
A Convolutional Neural Network approach for image-based anomaly detection in smart agriculture. Expert Syst. Appl. 247: 123210 (2024)- [j18]Aurora González-Vidal, Antonio Martínez Ibarra, Antonio F. Skarmeta:
MultiBEATS: Blocks of eigenvalues algorithm for multivariate time series dimensionality reduction. Inf. Fusion 104: 102159 (2024) - [j17]Enrique Mármol Campos, José Luis Hernández Ramos, Aurora González-Vidal, Gianmarco Baldini, Antonio F. Skarmeta:
Misbehavior detection in intelligent transportation systems based on federated learning. Internet Things 25: 101127 (2024) - [i6]Enrique Mármol Campos, Aurora González-Vidal, José Luis Hernández Ramos, Antonio F. Skarmeta:
FedRDF: A Robust and Dynamic Aggregation Function against Poisoning Attacks in Federated Learning. CoRR abs/2402.10082 (2024) - [i5]Enrique Mármol Campos, Aurora González-Vidal, José Luis Hernández Ramos, Antonio F. Skarmeta:
Federated Learning for Misbehaviour Detection with Variational Autoencoders and Gaussian Mixture Models. CoRR abs/2405.09903 (2024) - [i4]Yu Ye, Aurora González-Vidal, Alejandro Cisterna García, Angel Pérez-Ruzafa, Miguel Angel Zamora-Izquierdo, Antonio F. Skarmeta:
Advancing Towards a Marine Digital Twin Platform: Modeling the Mar Menor Coastal Lagoon Ecosystem in the South Western Mediterranean. CoRR abs/2409.10134 (2024) - 2023
- [j16]Pedro Ruzafa Alcazar, Pablo Fernández Saura, Enrique Mármol Campos, Aurora González-Vidal, José Luis Hernández Ramos, Jorge Bernal Bernabé, Antonio F. Skarmeta:
Intrusion Detection Based on Privacy-Preserving Federated Learning for the Industrial IoT. IEEE Trans. Ind. Informatics 19(2): 1145-1154 (2023) - [c14]Enrique Mármol Campos, Aurora González-Vidal, José Luis Hernández Ramos, Antonio F. Skarmeta:
Federated Transfer Learning for Energy Efficiency in Smart Buildings. INFOCOM Workshops 2023: 1-6 - [c13]Carlos Hernández Hidalgo, Aurora González-Vidal, Antonio F. Skarmeta:
Edge Computing in Smart Agriculture Scenario Based on TinyML for Irrigation Control. WF-IoT 2023: 1-8 - [c12]Aurora González-Vidal, Alexander Isenko, K. R. Jayaram:
On Serving Image Classification Models. WOSC@Middleware 2023: 48-52 - [i3]José Luis Hernández Ramos, Georgios Karopoulos, Efstratios Chatzoglou, Vasileios Kouliaridis, Enrique Mármol Campos, Aurora González-Vidal, Georgios Kambourakis:
Intrusion Detection based on Federated Learning: a systematic review. CoRR abs/2308.09522 (2023) - 2022
- [j15]Alejandro Cisterna, Aurora González-Vidal, Daniel Ruiz, Jordi Ortiz, Alicia Gómez-Pascual, Zhongbo Chen, Mike A. Nalls, Faraz Faghri, John Hardy, Irene Díez, Paolo Maietta, Sara Álvarez, Mina Ryten, Juan A. Botía:
PhenoExam: gene set analyses through integration of different phenotype databases. BMC Bioinform. 23(1): 567 (2022) - [j14]Enrique Mármol Campos, Pablo Fernández Saura, Aurora González-Vidal, José Luis Hernández Ramos, Jorge Bernal Bernabé, Gianmarco Baldini, Antonio F. Skarmeta:
Evaluating Federated Learning for intrusion detection in Internet of Things: Review and challenges. Comput. Networks 203: 108661 (2022) - [j13]Aurora González-Vidal, Alfonso P. Ramallo-González, Antonio F. Skarmeta:
Intrinsic and extrinsic quality of data for open data repositories. ICT Express 8(3): 328-333 (2022) - [e1]Aurora González-Vidal, Ahmed Mohamed Abdelgawad, Essaid Sabir, Sébastien Ziegler, Latif Ladid:
Internet of Things - 5th The Global IoT Summit, GIoTS 2022, Dublin, Ireland, June 20-23, 2022, Revised Selected Papers. Lecture Notes in Computer Science 13533, Springer 2022, ISBN 978-3-031-20935-2 [contents] - [d3]Antonio Martínez Ibarra, Aurora González-Vidal, Antonio F. Skarmeta-Gómez:
PLEIAData: real data from the Pleiades building for smart applications. Version 1. Zenodo, 2022 [all versions]
- [d2]Antonio Martínez Ibarra, Aurora González-Vidal, Antonio F. Skarmeta-Gómez:
PLEIAData:consumption, HVAC (Heating, Ventilation & Air Conditioning), temperature, weather and motion sensor data for smart buildings applications. Version 2. Zenodo, 2022 [all versions] - [d1]Antonio Martínez Ibarra, Aurora González-Vidal, Antonio F. Skarmeta-Gómez:
PLEIAData:consumption, HVAC (Heating, Ventilation & Air Conditioning), temperature, weather and motion sensor data for smart buildings applications. Version 3. Zenodo, 2022 [all versions] - 2021
- [j12]Aurora González-Vidal, Punit Rathore, Aravinda S. Rao, José Mendoza-Bernal, Marimuthu Palaniswami, Antonio F. Skarmeta-Gómez:
Missing Data Imputation With Bayesian Maximum Entropy for Internet of Things Applications. IEEE Internet Things J. 8(21): 16108-16120 (2021) - [j11]Norberto Garcia, Tomas Alcaniz, Aurora González-Vidal, Jorge Bernal Bernabé, Diego Rivera, Antonio F. Skarmeta:
Distributed real-time SlowDoS attacks detection over encrypted traffic using Artificial Intelligence. J. Netw. Comput. Appl. 173: 102871 (2021) - [j10]Alfonso P. Ramallo-González, Aurora González-Vidal, Antonio F. Skarmeta:
CIoTVID: Towards an Open IoT-Platform for Infective Pandemic Diseases such as COVID-19. Sensors 21(2): 484 (2021) - [j9]Thorben Iggena, Eushay Bin Ilyas, Marten Fischer, Ralf Tönjes, Tarek Elsaleh, Roonak Rezvani, Narges Pourshahrokhi, Stefan Bischof, Andreas Fernbach, Josiane Xavier Parreira, Patrik Schneider, Pavel Smirnov, Martin Strohbach, Hien Thi Thu Truong, Aurora González-Vidal, Antonio F. Skarmeta, Parwinder Singh, Michail J. Beliatis, Mirko Presser, Juan Antonio Martínez, Pedro Gonzalez-Gil, Marianne Krogbæk, Sebastian Holmgard Christophersen:
IoTCrawler: Challenges and Solutions for Searching the Internet of Things. Sensors 21(5): 1559 (2021) - [c11]Aurora González-Vidal, Paula Gómez-Bernal, José Mendoza-Bernal, Antonio F. Skarmeta:
BIGcoldTRUCKS: a BIG data dashboard for the management of COLD chain logistics in refrigerated TRUCKS. IEEE BigData 2021: 2894-2900 - [c10]Pedro Gonzalez-Gil, Rafael Marín-Pérez, Aurora González-Vidal, Alfonso P. Ramallo-González, Antonio F. Skarmeta:
Interoperable and Intelligent Architecture for Smart Buildings. SmartIoT 2021: 359-364 - [i2]Enrique Mármol Campos, Pablo Fernández Saura, Aurora González-Vidal, José Luis Hernández Ramos, Jorge Bernal Bernabé, Gianmarco Baldini, Antonio F. Skarmeta:
Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges. CoRR abs/2108.00974 (2021) - 2020
- [c9]Aurora González-Vidal, Tomás Alcañiz, Thorben Iggena, Eushay Bin Ilyas, Antonio F. Skarmeta:
Domain Agnostic Quality of Information Metrics in IoT-Based Smart Environments. Intelligent Environments (Workshops) 2020: 343-352
2010 – 2019
- 2019
- [j8]Fernando Terroso-Saenz, Aurora González-Vidal, Alfonso P. Ramallo-González, Antonio F. Skarmeta:
An open IoT platform for the management and analysis of energy data. Future Gener. Comput. Syst. 92: 1066-1079 (2019) - [j7]Ignacio Rodríguez-Rodríguez, José-Víctor Rodríguez, Aurora González-Vidal, Miguel Ángel Zamora:
Feature Selection for Blood Glucose Level Prediction in Type 1 Diabetes Mellitus by Using the Sequential Input Selection Algorithm (SISAL). Symmetry 11(9): 1164 (2019) - [c8]Aurora González-Vidal, Jesús Cuenca-Jara, Antonio F. Skarmeta:
IoT for Water Management: Towards Intelligent Anomaly Detection. WF-IoT 2019: 858-863 - 2018
- [j6]Ignacio Rodríguez-Rodríguez, Aurora González-Vidal, Alfonso P. Ramallo-González, Miguel Ángel Zamora:
Commissioning of the Controlled and Automatized Testing Facility for Human Behavior and Control (CASITA). Sensors 18(9): 2829 (2018) - [j5]Aurora González-Vidal, Payam M. Barnaghi, Antonio F. Skarmeta:
BEATS: Blocks of Eigenvalues Algorithm for Time Series Segmentation. IEEE Trans. Knowl. Data Eng. 30(11): 2051-2064 (2018) - [c7]Anastasios Zafeiropoulos, Eleni Fotopoulou, Aurora González-Vidal, Antonio F. Skarmeta:
Detaching the design, development and execution of big data analysis processes: A case study based on energy and behavioral analytics. GIoTS 2018: 1-6 - [c6]Aurora González-Vidal, Alfonso P. Ramallo-González, Antonio F. Skarmeta:
Empirical Study of Massive Set-Point Behavioral Data: Towards a Cloud-Based Artificial Intelligence that Democratizes Thermostats. SMARTCOMP 2018: 211-218 - [c5]Tomas Vantuch, Aurora González-Vidal, Alfonso P. Ramallo-González, Antonio F. Skarmeta, Stanislav Misák:
Machine learning based electric load forecasting for short and long-term period. WF-IoT 2018: 511-516 - 2017
- [j4]Eleni Fotopoulou, Anastasios Zafeiropoulos, Fernando Terroso-Saenz, Umutcan Simsek, Aurora González-Vidal, George Tsiolis, Panagiotis Gouvas, Paris Liapis, Anna Fensel, Antonio F. Skarmeta:
Providing Personalized Energy Management and Awareness Services for Energy Efficiency in Smart Buildings. Sensors 17(9): 2054 (2017) - [j3]María Victoria Moreno Cano, Fernando Terroso-Saenz, Aurora González-Vidal, Mercedes Valdés-Vela, Antonio F. Skarmeta, Miguel A. Zamora, Victor Chang:
Applicability of Big Data Techniques to Smart Cities Deployments. IEEE Trans. Ind. Informatics 13(2): 800-809 (2017) - [c4]Aurora González-Vidal, Alfonso P. Ramallo-González, Fernando Terroso-Saenz, Antonio F. Skarmeta:
Data driven modeling for energy consumption prediction in smart buildings. IEEE BigData 2017: 4562-4569 - [c3]Jesús Cuenca-Jara, Fernando Terroso-Saenz, Mercedes Valdés-Vela, Aurora González-Vidal, Antonio F. Skarmeta:
Human mobility analysis based on social media and fuzzy clustering. GIoTS 2017: 1-6 - [c2]Eleni Fotopoulou, Anastasios Zafeiropoulos, Fernando Terroso-Saenz, Aurora González-Vidal, Antonio F. Skarmeta, Umutcan Simsek, Anna Fensel:
Data aggregation, fusion and recommendations for strengthening citizens energy-aware behavioural profiles. GIoTS 2017: 1-6 - [i1]Eleni Fotopoulou, Anastasios Zafeiropoulos, Fernando Terroso-Saenz, Aurora González-Vidal, Antonio F. Skarmeta, Umutcan Simsek, Anna Fensel:
Data Aggregation, Fusion and Recommendations for Strengthening Citizens Energy-aware Behavioural Profiles. CoRR abs/1707.06433 (2017) - 2016
- [j2]Fernando Terroso-Saenz, Jesús Cuenca-Jara, Aurora González-Vidal, Antonio F. Skarmeta:
Human Mobility Prediction Based on Social Media with Complex Event Processing. Int. J. Distributed Sens. Networks 12(9) (2016) - [j1]Fernando Terroso-Saenz, Mercedes Valdés-Vela, Aurora González-Vidal, Antonio F. Skarmeta:
Human Mobility Modelling Based on Dense Transit Areas Detection with Opportunistic Sensing. Mob. Inf. Syst. 2016: 9178539:1-9178539:15 (2016) - [c1]Aurora González-Vidal, María Victoria Moreno Cano, Fernando Terroso-Saenz, Antonio F. Skarmeta:
Towards Energy Efficiency Smart Buildings Models Based on Intelligent Data Analytics. ANT/SEIT 2016: 994-999
Coauthor Index
aka: Antonio F. Skarmeta-Gómez
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last updated on 2024-10-15 21:35 CEST by the dblp team
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