activity
20232026
most citedPneumonia Detection on chest X-ray images Using Ensemble of Deep Convolutional Neural Networks

187 citations · 374 across the 18 of their papers we have counts for

collaborators

19 papers

cs.DC2026

Air-Plan: Query-Optimized Topology Selection for Over-the-Air Decentralized Federated Learning

Kaushal Attaluri, Rebeca P. Diaz-Redondo, Manuel Fernandez Veiga

Over-the-air (OTA) aggregation exploits the superposition property of wireless multiple-access channels to aggregate model updates from multiple devices within a single transmissio…

cs.NI2026

Purification Strategy Optimization for Entanglement Routing in Quantum Networks

Javier Vecino Peñas, Ana Fernández-Vilas, Rebeca P. Díaz-Redondo +2

Quantum networks rely on the efficient distribution of entanglement to enable long-distance quantum communication and information processing. A key challenge in these networks is t…

cs.DC2026

Decentralized Orchestration Architecture for Fluid Computing: A Secure Distributed AI Use Case

Diego Cajaraville-Aboy, Ana Fernández-Vilas, Rebeca P. Díaz-Redondo +2

Distributed AI and IoT applications increasingly execute across heterogeneous resources spanning end devices, edge/fog infrastructure, and cloud platforms, often under different ad…

cs.LG2025★ 4 cited

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator

Alberto Bazán-Guillén, Carlos Beis-Penedo, Diego Cajaraville-Aboy +6

Realistic urban traffic simulation is essential for sustainable urban planning and the development of intelligent transportation systems. However, generating high-fidelity, time-va…

cs.LG2025

CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat Detection

Diego Cajaraville-Aboy, Marta Moure-Garrido, Carlos Beis-Penedo +5

The use of DNS over HTTPS (DoH) tunneling by an attacker to hide malicious activity within encrypted DNS traffic poses a serious threat to network security, as it allows malicious…

cs.LG2024★ 1 cited

Overcoming Catastrophic Forgetting in Tabular Data Classification: A Pseudorehearsal-based approach

Pablo García-Santaclara, Bruno Fernández-Castro, Rebeca P. Díaz-Redondo

Continual learning (CL) poses the important challenge of adapting to evolving data distributions without forgetting previously acquired knowledge while consolidating new knowledge.…

cs.LG2024★ 1 cited

Privacy-aware Berrut Approximated Coded Computing for Federated Learning

Xavier Martínez Luaña, Rebeca P. Díaz Redondo, Manuel Fernández Veiga

Federated Learning (FL) is an interesting strategy that enables the collaborative training of an AI model among different data owners without revealing their private datasets. Even…

q-fin.GN2024★ 11 cited

Interplay between Cryptocurrency Transactions and Online Financial Forums

Ana Fernández Vilas, Rebeca P. Díaz Redondo, Daniel Couto Cancela +1

Cryptocurrencies are a type of digital money meant to provide security and anonymity while using cryptography techniques. Although cryptocurrencies represent a breakthrough and pro…

cs.LG2023★ 17 cited

Decentralised and collaborative machine learning framework for IoT

Martín González-Soto, Rebeca P. Díaz-Redondo, Manuel Fernández-Veiga +2

Decentralised machine learning has recently been proposed as a potential solution to the security issues of the canonical federated learning approach. In this paper, we propose a d…

cs.HC2023★ 7 cited

Spectrophotometers for Labs: a Cost-efficient Solution based on Smartphones

Carlos Balado Sánchez, Rebeca P. Díaz Redondo, Ana Fernández Vilas +1

In this paper we introduce a proposal to provide students in labs with an alternative to the traditional visible range spectrophotometers, whose acquisition and maintenance entails…

eess.IV2023★ 187 cited

Pneumonia Detection on chest X-ray images Using Ensemble of Deep Convolutional Neural Networks

Alhassan Mabrouk, Rebeca P. Díaz Redondo, Abdelghani Dahou +2

Pneumonia is a life-threatening lung infection resulting from several different viral infections. Identifying and treating pneumonia on chest X-ray images can be difficult due to i…

cs.NI2023★ 2 cited

Resource Allocation for Dataflow Applications in FANETs using Anypath Routing

Juan José López Escobar, Manuel Ricardo, Rui Campos +2

Management of network resources in advanced IoT applications is a challenging topic due to their distributed nature from the Edge to the Cloud, and the heavy demand of real-time da…

cs.NI2023★ 24 cited

JMAC Protocol: A Cross-Layer Multi-Hop Protocol for LoRa

Juan José López Escobar, Felipe Gil-Castiñeira, Rebeca P. Díaz-Redondo

The emergence of Low-Power Wide-Area Network (LPWAN) technologies allowed the development of revolutionary Internet Of Things (IoT) applications covering large areas with thousands…

cs.CY2023★ 9 cited

Impact of Computer-Based Assessments on the Science's Ranks of Secondary Students

Eduardo A. Soto Rodríguez, Ana Fernández Vilas, Rebeca P. Díaz Redondo

This study reports the impact of examining either with digital or paper-based tests in science subjects taught across the second-ary level. With our method, we compare the percenti…

cs.NI2023★ 11 cited

INRISCO: INcident monitoRing In Smart COmmunities

Mónica Aguilar Igartua, Florina Almenares, Rebeca P. Díaz Redondo +13

Major advances in information and communication technologies (ICTs) make citizens to be considered as sensors in motion. Carrying their mobile devices, moving in their connected ve…

cs.AI2023★ 17 cited

Classification of retail products: From probabilistic ranking to neural networks

Manar Mohamed Hafez, Rebeca P. Díaz Redondo, Ana Fernández-Vilas +1

Food retailing is now on an accelerated path to a success penetration into the digital market by new ways of value creation at all stages of the consumer decision process. One of t…

cs.CV2023★ 36 cited

Medical Image Classification Using Transfer Learning and Chaos Game Optimization on the Internet of Medical Things

Alhassan Mabrouk, Abdelghani Dahou, Mohamed Abd Elaziz +2

The Internet of Medical Things (IoMT) has dramatically benefited medical professionals that patients and physicians can access from all regions. Although the automatic detection an…

cs.CV2023★ 37 cited

Ensemble Federated Learning: an approach for collaborative pneumonia diagnosis

Alhassan Mabrouk, Rebeca P. Díaz Redondo, Mohamed Abd Elaziz +1

Federated learning is a very convenient approach for scenarios where (i) the exchange of data implies privacy concerns and/or (ii) a quick reaction is needed. In smart healthcare s…

cs.CY2023★ 10 cited

Anti-Sexism Alert System: Identification of Sexist Comments on Social Media Using AI Techniques

Rebeca P. Díaz Redondo, Ana Fernández Vilas, Mateo Ramos Merino +3

Social relationships in the digital sphere are becoming more usual and frequent, and they constitute a very important aspect for all of us. {Violent interactions in this sphere are…