output
20042026
most citedMulticlass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol

146 citations

83 papers

cs.CR2026

Influence of Autoencoder Latent Space on Classifying IoT CoAP Attacks

María Teresa García-Ordás, Jose Aveleira-Mata, Isaías García-Rodríguez +3

The Internet of Things (IoT) presents a unique cybersecurity challenge due to its vast network of interconnected, resource-constrained devices. These vulnerabilities not only threa…

stat.ME2025★ 4 cited

Invited Discussion of "Model Uncertainty and Missing Data: An Objective Bayesian Perspective" by Gonzalo García-Donato , María Eugenia Castellanos , Stefano Cabras Alicia Quirós , and Anabel Forte

Merlise A Clyde

The article by Garc{í}a-Donato and co-authors addresses the dual challenges of accounting for model uncertainty and missing data within the Gaussian regression frameworks from an o…

gr-qc2025★ 1 cited

Noble gravitational atoms: Self-gravitating black hole scalar wigs with angular momentum number

Miguel Alcubierre, Juan Barranco, Argelia Bernal +5

We present new spherically symmetric solutions of the Einstein-Klein-Gordon equations in a quasi-stationary approximation that describe self-gravitating scalar field configurations…

stat.ME2025★ 4 cited

Comment on García-Donato et al. (2025) "Model uncertainty and missing data: An objective Bayesian perspective"

Joris Mulder

Garcia-Donato et al. (2025) present a methodology for handling missing data in a model selection problem using an objective Bayesian approach. The current comment discusses an alte…

stat.AP2025★ 10 cited

Predicting fall risk in older adults: A machine learning comparison of accelerometric and non-accelerometric factors

Ana González-Castro, José Alberto Benítez-Andrades, Rubén González-González +2

This study investigates fall risk prediction in older adults using various machine learning models trained on accelerometric, non-accelerometric, and combined data from 146 partici…

cs.LG2025★ 4 cited

Classification of Psychiatry Clinical Notes by Diagnosis: A Deep Learning and Machine Learning Approach

Sergio Rubio-Martín, María Teresa García-Ordás, Antonio Serrano-García +3

The classification of clinical notes into specific diagnostic categories is critical in healthcare, especially for mental health conditions like Anxiety and Adjustment Disorder. In…