31 citations · 190 across the 18 of their papers we have counts for
20 papers
Discovering Geo-dependent Stories by Combining Density-based Clustering and Thread-based Aggregation techniques
Héctor Cerezo-Costas, Ana Fernández Vilas, Manuela Martín-Vicente +1
Citizens are actively interacting with their surroundings, especially through social media. Not only do shared posts give important information about what is happening (from the us…
Collaboratively assessing urban alerts in ad hoc participatory sensing
Fátima Castro-Jul, Rebeca Díaz Redondo, Ana Fernández-Vilas
Ad hoc architectures have emerged as a valuable alternative to centralized participatory sensing systems due to their infrastructureless nature, which ensures good availability, ea…
Fog Architectures and Sensor Location Certification in Distributed Event-Based Systems
Fátima Castro-Jul, Rebeca Díaz Redondo, Ana Fernández-Vilas +2
Since smart cities aim at becoming self-monitoring and self-response systems, their deployment relies on close resource monitoring through large-scale urban sensing. The subsequent…
The irruption of cryptocurrencies into Twitter cashtags: a classifying solution
Ana Fernández Vilas, Rebeca Díaz Redondo, Antón Lorenzo García
There is a consensus about the good sensing characteristics of Twitter to mine and uncover knowledge in financial markets, being considered a relevant feeder for taking decisions a…
Twitter Permeability to financial events: an experiment towards a model for sensing irregularities
Ana Fernández Vilas, Rebeca P. Díaz Redondo, Keeley Crockett +2
There is a general consensus of the good sensing and novelty characteristics of Twitter as an information media for the complex financial market. This paper investigates the permea…
Security aspects in Smart Meters: Analysis and Prevention
Rebeca P. Díaz Redondo, Ana Fernández Vilas, Gabriel Fernández dos Reis
Smart meters are of the basic elements in the so-called Smart Grid. These devices, connected to the Internet, keep bidirectional communication with other devices in the Smart Grid…
A hybrid analysis of LBSN data to early detect anomalies in crowd dynamics
Rebeca P. Díaz-Redondo, Carlos Garcia-Rubio, Ana Fernández Vilas +2
Undoubtedly, Location-based Social Networks (LBSNs) provide an interesting source of geo-located data that we have previously used to obtain patterns of the dynamics of crowds thro…
Multi-criteria recommendation systems to foster online grocery
Manar Mohamed Hafez, Rebeca P. Díaz Redondo, Ana Fernández-Vilas +1
With the exponential increase in information, it has become imperative to design mechanisms that allow users to access what matters to them as quickly as possible. The recommendati…
QSMVM: QoS-aware and social-aware multimetric routing protocol for video-streaming services over MANETs
Efraín Palacios Jara, Ahmad Mohamad Mezhe, Mónica Aguilar Igartua +2
A mobile ad hoc network (MANET) is a set of autonomous mobile devices connected by wireless links in a distributed manner and without a fixed infrastructure. Real-time multimedia s…
Unsupervised KPIs-Based Clustering of Jobs in HPC Data Centers
Mohamed S. Halawa, Rebeca P. Díaz-Redondo, Ana Fernández-Vilas
Performance analysis is an essential task in High-Performance Computing (HPC) systems and it is applied for different purposes such as anomaly detection, optimal resource allocatio…
KPIs-Based Clustering and Visualization of HPC jobs: a Feature Reduction Approach
Mohamed Soliman Halawa, Rebeca P. Díaz-Redondo, Ana Fernández-Vilas
High-Performance Computing (HPC) systems need to be constantly monitored to ensure their stability. The monitoring systems collect a tremendous amount of data about different param…
Irregular Repetition Slotted Aloha with Multipacket Detection: A Density Evolution Analysis
Manuel Fernández-Veiga, M. E. Sousa-Vieira, Ana Fernández-Vilas +1
Irregular repetition slotted Aloha (IRSA) has shown significant advantages as a modern technique for uncoordinated random access with massive number of users due to its capability…
Integrating micro-learning content in traditional e-learning platforms
Rebeca P. Díaz-Redondo, Manuel Caeiro-Rodríguez, Juan José López-Escobar +1
Lifelong learning requires appropriate solutions, especially for corporate training. Workers usually have difficulty combining training and their normal work. In this context, micr…
A Review on Cryptocurrency Transaction Methods for Money Laundering
Hugo Almeida, Pedro Pinto, Ana Fernández Vilas
Cryptocurrencies are considered relevant assets and they are currently used as an investment or to carry out transactions. However, specific characteristics commonly associated wit…
Scheduling and Communication Schemes for Decentralized Federated Learning
Bahaa-Eldin Ali Abdelghany, Ana Fernández-Vilas, Manuel Fernández-Veiga +3
Federated learning (FL) is a distributed machine learning paradigm in which a large number of clients coordinate with a central server to learn a model without sharing their own tr…
Using Decentralized Aggregation for Federated Learning with Differential Privacy
Hadeel Abd El-Kareem, Abd El-Moaty Saleh, Ana Fernández-Vilas +2
Nowadays, the ubiquitous usage of mobile devices and networks have raised concerns about the loss of control over personal data and research advance towards the trade-off between p…
Prototype of deployment of Federated Learning with IoT devices
Pablo García Santaclara, Ana Fernández Vilas, Rebeca P. Díaz Redondo
In the age of technology, data is an increasingly important resource. This importance is growing in the field of Artificial Intelligence (AI), where sub fields such as Machine Lear…
Analysing the Potential of BLE to Support Dynamic Broadcasting Scenarios
Miran Borić, Ana Fernández Vilas, Rebeca P. Díaz Redondo
In this paper, we present a novel approach for broadcasting information based on a Bluetooth Low Energy (BLE) ibeacon technology. We propose a dynamic method that uses a combinatio…
Scraping and Clustering Techniques for the Characterization of Linkedin Profiles
Kais Dai, Celia Gónzalez Nespereira, Ana Fernández Vilas +1
The socialization of the web has undertaken a new dimension after the emergence of the Online Social Networks (OSN) concept. The fact that each Internet user becomes a potential co…
NF-SAVO: Neuro-Fuzzy system for Arabic Video OCR
Mohamed Ben Halima, Hichem karray, Adel. M. Alimi +1
In this paper we propose a robust approach for text extraction and recognition from video clips which is called Neuro-Fuzzy system for Arabic Video OCR. In Arabic video text recogn…