Oscar Fontenla-Romero

About Oscar Fontenla-Romero

Oscar Fontenla-Romero, With an exceptional h-index of 24 and a recent h-index of 17 (since 2020), a distinguished researcher at Universidade da Coruña, specializes in the field of Artificial Intelligence, Machine Learning, Computer Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated?

A novel intelligent approach for man‐in‐the‐middle attacks detection over internet of things environments based on message queuing telemetry transport

FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks

Comparative Study of Forecasting Techniques for Small Wind Turbine Power Generation by Meteorological Parameters

Fast deep autoencoder for federated learning

Comparative study of anomaly detection techniques for monitoring lithium iron phosphate-lifepo4 batteries

A Novel Method for Failure Detection Based on Real-Time Systems Identification

A one-class classification method based on expanded non-convex hulls

Oscar Fontenla-Romero Information

University

Position

Associate Professor of Computer Science. (Spain)

Citations(all)

2393

Citations(since 2020)

963

Cited By

1848

hIndex(all)

24

hIndex(since 2020)

17

i10Index(all)

49

i10Index(since 2020)

29

Email

University Profile Page

Google Scholar

Oscar Fontenla-Romero Skills & Research Interests

Artificial Intelligence

Machine Learning

Computer Science

Top articles of Oscar Fontenla-Romero

Title

Journal

Author(s)

Publication Date

Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated?

Engineering Applications of Artificial Intelligence

David Novoa-Paradela

Oscar Fontenla-Romero

Bertha Guijarro-Berdiñas

2024/7/1

A novel intelligent approach for man‐in‐the‐middle attacks detection over internet of things environments based on message queuing telemetry transport

Expert Systems

Alvaro Michelena

José Aveleira‐Mata

Esteban Jove

Martín Bayón‐Gutiérrez

Paulo Novais

...

2024/2

FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks

Future Generation Computer Systems

Oscar Fontenla-Romero

Bertha Guijarro-Berdiñas

Elena Hernández-Pereira

Beatriz Pérez-Sánchez

2023/12/1

Comparative Study of Forecasting Techniques for Small Wind Turbine Power Generation by Meteorological Parameters

Antonio Díaz-Longueira

Míriam Timiraos

Álvaro Michelena

Francisco Zayas-Gato

Esteban Jove

...

2023/7/12

Fast deep autoencoder for federated learning

Pattern Recognition

David Novoa-Paradela

Oscar Fontenla-Romero

Bertha Guijarro-Berdiñas

2023/11/1

Comparative study of anomaly detection techniques for monitoring lithium iron phosphate-lifepo4 batteries

Proceedings of V XoveTIC Conference. XoveTIC

Alvaro Michelena

Francisco Zayas-Gato

Esteban Jove

Oscar Fontenla-Romero

José Luis Calvo-Rolle

2023

A Novel Method for Failure Detection Based on Real-Time Systems Identification

Álvaro Michelena

Antonio Díaz-Longueira

Míriam Timiraos

Héctor Quintián

Óscar Fontenla Romero

...

2023/8/27

A one-class classification method based on expanded non-convex hulls

Information Fusion

David Novoa-Paradela

Oscar Fontenla-Romero

Bertha Guijarro-Berdiñas

2023/1/1

Hybrid Classification Model Based on Supervised Techniques for Denial of Service Attacks Detection over CoAP Protocol

Álvaro Michelena

Antonio Díaz-Longueira

Míriam Timiraos

Francisco Javier de Cos Juez

Héctor Aláiz Moretón

...

2023/7/12

An effective and efficient green federated learning method for one-layer neural networks

arXiv preprint arXiv:2312.14528

Oscar Fontenla-Romero

Bertha Guijarro-Berdiñas

Elena Hernández-Pereira

Beatriz Pérez-Sánchez

2023/12/22

Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction

Míriam Timiraos

Antonio Díaz-Longueira

Álvaro Michelena

Francisco Zayas-Gato

Héctor Quintián

...

2023/7/12

Machine learning techniques to predict different levels of hospital care of CoVid-19

Applied Intelligence

Elena Hernández-Pereira

Oscar Fontenla-Romero

Verónica Bolón-Canedo

Brais Cancela-Barizo

Bertha Guijarro-Berdiñas

...

2022/4/1

Predictive Maintenance of Naval Assets Using Machine Learning Techniques

Proceedings of the STO-MP-SAS-OCS-ORA-2021 NATO Conference. AIML-03 Section

Francisco LAMAS-LÓPEZ

David Novoa Paradela

Carlos Eiras Franco

Óscar Fontenla Romero

David Sanz Muñoz

2022

Introducción a la representación del conocimiento y el razonamiento en educación pre-universitaria mediante una actividad STEM

Sara Guerreiro-Santalla

Oscar Fontenla Romero

Alejandro Romero

Francisco Bellas Bouza

2022

Learning by doing in higher education: an experience to increase self-learning and motivation in first courses

Oscar Fontenla-Romero

Francisco Bellas

Noelia Sánchez-Maroño

José Antonio Becerra

2022

An Anomaly Detection Approach for Realtime Identification Systems Based on Centroids

Álvaro Michelena

Francisco Zayas-Gato

Esteban Jove

José-Luis Casteleiro-Roca

Héctor Quintián

...

2022/9/5

A Novel Proposal for Estimating PID Parameters Based on Centroids

Álvaro Michelena

Francisco Zayas-Gato

Esteban Jove

José-Luis Casteleiro-Roca

Héctor Quintián

...

2022/7/2

Regularized one-layer neural networks for distributed and incremental environments

Oscar Fontenla-Romero

Bertha Guijarro-Berdiñas

Beatriz Pérez-Sánchez

2021/6/16

The school path guide: A practical introduction to representation and reasoning in AI for high school students

Sara Guerreiro-Santalla

Francisco Bellas

Oscar Fontenla-Romero

2021/6/12

Federated Learning approach for SpectralClustering.

Elena Hernández-Pereira

Oscar Fontenla-Romero

Bertha Guijarro-Berdiñas

Beatriz Pérez-Sánchez

2021

See List of Professors in Oscar Fontenla-Romero University(Universidade da Coruña)

Co-Authors

academic-engine