Towards Energy Efficiency Smart Buildings Models Based on Intelligent Data Analytics. - Aurora González-Vidal; María Victoria Moreno Cano; Fernando Terroso-Saenz; Antonio F. Skarmeta (ANT/SEIT, 2016)

Human Mobility Prediction Based on Social Media with Complex Event Processing. - Fernando Terroso-Saenz; Jesús Cuenca-Jara; Aurora González-Vidal; Antonio F. Skarmeta (Int. J. Distributed Sens. Networks, 2016)

Human Mobility Modelling Based on Dense Transit Areas Detection with Opportunistic Sensing. - Fernando Terroso-Saenz; Mercedes Valdés-Vela; Aurora González-Vidal; Antonio F. Skarmeta (Mob. Inf. Syst., 2016)

Data driven modeling for energy consumption prediction in smart buildings. - Aurora González-Vidal; Alfonso P. Ramallo-González; Fernando Terroso-Saenz; Antonio F. Skarmeta (IEEE BigData, 2017)

Human mobility analysis based on social media and fuzzy clustering. - Jesús Cuenca-Jara; Fernando Terroso-Saenz; Mercedes Valdés-Vela; Aurora González-Vidal; Antonio F. Skarmeta (GIoTS, 2017)

Data aggregation, fusion and recommendations for strengthening citizens energy-aware behavioural profiles. - Eleni Fotopoulou; Anastasios Zafeiropoulos; Fernando Terroso-Saenz; Aurora González-Vidal; Antonio F. Skarmeta; Umutcan Simsek; Anna Fensel (GIoTS, 2017)

Providing Personalized Energy Management and Awareness Services for Energy Efficiency in Smart Buildings. - Eleni Fotopoulou; Anastasios Zafeiropoulos; Fernando Terroso-Saenz; Umutcan Simsek; Aurora González-Vidal; George Tsiolis; Panagiotis Gouvas; Paris Liapis; Anna Fensel; Antonio F. Skarmeta (Sensors, 2017)

Applicability of Big Data Techniques to Smart Cities Deployments. - María Victoria Moreno Cano; Fernando Terroso-Saenz; Aurora González-Vidal; Mercedes Valdés-Vela; Antonio F. Skarmeta; Miguel A. Zamora 001; Victor Chang 001 (IEEE Trans. Ind. Informatics, 2017)

Detaching the design, development and execution of big data analysis processes: A case study based on energy and behavioral analytics. - Anastasios Zafeiropoulos; Eleni Fotopoulou; Aurora González-Vidal; Antonio F. Skarmeta (GIoTS, 2018)

Empirical Study of Massive Set-Point Behavioral Data: Towards a Cloud-Based Artificial Intelligence that Democratizes Thermostats. - Aurora González-Vidal; Alfonso P. Ramallo-González; Antonio F. Skarmeta (SMARTCOMP, 2018)

Machine learning based electric load forecasting for short and long-term period. - Tomas Vantuch; Aurora González-Vidal; Alfonso P. Ramallo-González; Antonio F. Skarmeta; Stanislav Misák (WF-IoT, 2018)

Commissioning of the Controlled and Automatized Testing Facility for Human Behavior and Control (CASITA). - Ignacio Rodríguez-Rodríguez; Aurora González-Vidal; Alfonso P. Ramallo-González; Miguel Ángel Zamora (Sensors, 2018)

BEATS: Blocks of Eigenvalues Algorithm for Time Series Segmentation. - Aurora González-Vidal; Payam M. Barnaghi; Antonio F. Skarmeta (IEEE Trans. Knowl. Data Eng., 2018)

IoT for Water Management: Towards Intelligent Anomaly Detection. - Aurora González-Vidal; Jesús Cuenca-Jara; Antonio F. Skarmeta (WF-IoT, 2019)

An open IoT platform for the management and analysis of energy data. - Fernando Terroso-Saenz; Aurora González-Vidal; Alfonso P. Ramallo-González; Antonio F. Skarmeta (Future Gener. Comput. Syst., 2019)

Feature Selection for Blood Glucose Level Prediction in Type 1 Diabetes Mellitus by Using the Sequential Input Selection Algorithm (SISAL). - Ignacio Rodríguez-Rodríguez; José-Víctor Rodríguez; Aurora González-Vidal; Miguel Ángel Zamora (Symmetry, 2019)

Domain Agnostic Quality of Information Metrics in IoT-Based Smart Environments. - Aurora González-Vidal; Tomás Alcañiz; Thorben Iggena; Eushay Bin Ilyas; Antonio F. Skarmeta (Intelligent Environments (Workshops), 2020)

BIGcoldTRUCKS: a BIG data dashboard for the management of COLD chain logistics in refrigerated TRUCKS. - Aurora González-Vidal; Paula Gómez-Bernal; José Mendoza-Bernal; Antonio F. Skarmeta (IEEE BigData, 2021)

Interoperable and Intelligent Architecture for Smart Buildings. - Pedro Gonzalez-Gil; Rafael Marín-Pérez; Aurora González-Vidal; Alfonso P. Ramallo-González; Antonio F. Skarmeta (SmartIoT, 2021)

Missing Data Imputation With Bayesian Maximum Entropy for Internet of Things Applications. - Aurora González-Vidal; Punit Rathore; Aravinda S. Rao; José Mendoza-Bernal; Marimuthu Palaniswami; Antonio F. Skarmeta-Gómez (IEEE Internet Things J., 2021)

Distributed real-time SlowDoS attacks detection over encrypted traffic using Artificial Intelligence. - Norberto Garcia; Tomas Alcaniz; Aurora González-Vidal; Jorge Bernal Bernabé; Diego Rivera; Antonio F. Skarmeta (J. Netw. Comput. Appl., 2021)

IoTCrawler: Challenges and Solutions for Searching the Internet of Things. - Thorben Iggena; Eushay Bin Ilyas; Marten Fischer; Ralf Tönjes; Tarek Elsaleh; Roonak Rezvani; Narges Pourshahrokhi; Stefan Bischof 002; Andreas Fernbach; Josiane Xavier Parreira; Patrik Schneider; Pavel Smirnov 001; et al. (Sensors, 2021)

CIoTVID: Towards an Open IoT-Platform for Infective Pandemic Diseases such as COVID-19. - Alfonso P. Ramallo-González; Aurora González-Vidal; Antonio F. Skarmeta (Sensors, 2021)

Evaluating Federated Learning for intrusion detection in Internet of Things: Review and challenges. - Enrique Mármol Campos; Pablo Fernández Saura; Aurora González-Vidal; José Luis Hernández-Ramos; Jorge Bernal Bernabé; Gianmarco Baldini; Antonio F. Skarmeta (Comput. Networks, 2022)

Intrinsic and extrinsic quality of data for open data repositories. - Aurora González-Vidal; Alfonso P. Ramallo-González; Antonio F. Skarmeta (ICT Express, 2022)

PLEIAData: real data from the Pleiades building for smart applications. - Antonio Martínez Ibarra; Aurora González-Vidal; Antonio F. Skarmeta-Gómez (Zenodo, 2022)

PLEIAData:consumption, HVAC (Heating, Ventilation & Air Conditioning), temperature, weather and motion sensor data for smart buildings applications. - Antonio Martínez Ibarra; Aurora González-Vidal; Antonio F. Skarmeta-Gómez (Zenodo, 2022)

PLEIAData:consumption, HVAC (Heating, Ventilation & Air Conditioning), temperature, weather and motion sensor data for smart buildings applications. - Antonio Martínez Ibarra; Aurora González-Vidal; Antonio F. Skarmeta-Gómez (Zenodo, 2022)

PhenoExam: gene set analyses through integration of different phenotype databases. - 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; et al. (BMC Bioinform., 2022)

Federated Transfer Learning for Energy Efficiency in Smart Buildings. - Enrique Mármol Campos; Aurora González-Vidal; José Luis Hernández-Ramos; Antonio F. Skarmeta (INFOCOM Workshops, 2023)

Edge Computing in Smart Agriculture Scenario Based on TinyML for Irrigation Control. - Carlos Hernández Hidalgo; Aurora González-Vidal; Antonio F. Skarmeta (WF-IoT, 2023)

On Serving Image Classification Models. - Aurora González-Vidal; Alexander Isenko; K. R. Jayaram (WOSC@Middleware, 2023)

Intrusion Detection Based on Privacy-Preserving Federated Learning for the Industrial IoT. - Pedro Ruzafa Alcazar; Pablo Fernández Saura; Enrique Mármol Campos; Aurora González-Vidal; José Luis Hernández-Ramos; Jorge Bernal Bernabé; Antonio F. Skarmeta (IEEE Trans. Ind. Informatics, 2023)

Advancing Towards a Marine Digital Twin Platform: Modeling the Mar Menor Coastal Lagoon Ecosystem in the South Western Mediterranean. - Yu Ye 005; Aurora González-Vidal; Alejandro Cisterna García; Angel Pérez-Ruzafa; Miguel Angel Zamora-Izquierdo; Antonio F. Skarmeta (CoRR, 2024)

A Convolutional Neural Network approach for image-based anomaly detection in smart agriculture. - José Mendoza-Bernal; Aurora González-Vidal; Antonio F. Skarmeta (Expert Syst. Appl., 2024)

MultiBEATS: Blocks of eigenvalues algorithm for multivariate time series dimensionality reduction. - Aurora González-Vidal; Antonio Martínez Ibarra; Antonio F. Skarmeta (Inf. Fusion, 2024)

Misbehavior detection in intelligent transportation systems based on federated learning. - Enrique Mármol Campos; José Luis Hernández-Ramos; Aurora González-Vidal; Gianmarco Baldini; Antonio F. Skarmeta (Internet Things, 2024)

FedRDF: A Robust and Dynamic Aggregation Function Against Poisoning Attacks in Federated Learning. - Enrique Mármol Campos; Aurora González-Vidal; José Luis Hernández-Ramos; Antonio F. Skarmeta (IEEE Trans. Emerg. Top. Comput., 2025)

Federated learning for misbehaviour detection with variational autoencoders and Gaussian mixture models. - Enrique Mármol Campos; Aurora González-Vidal; José Luis Hernández-Ramos; Antonio F. Skarmeta (Int. J. Inf. Sec., 2025)

Performance of Confidential Computing GPUs. - Antonio Martínez Ibarra; Julian James Stephen; Aurora González-Vidal; K. R. Jayaram; Antonio Fernandez Gómez-Skarmeta (CoRR, 2025)

Intrusion Detection Based on Federated Learning: A Systematic Review. - José Luis Hernández-Ramos; Georgios Karopoulos; Efstratios Chatzoglou; Vasileios Kouliaridis; Enrique Mármol Campos; Aurora González-Vidal; Georgios Kambourakis (ACM Comput. Surv., 2025)