Lorenzo Fernández Maimó

Lorenzo Fernández Maimó

Universidad de Murcia

H-index: 13

Europe-Spain

About Lorenzo Fernández Maimó

Lorenzo Fernández Maimó, With an exceptional h-index of 13 and a recent h-index of 11 (since 2020), a distinguished researcher at Universidad de Murcia, specializes in the field of Machine learning, Deep learning.

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

Data fusion in neuromarketing: Multimodal analysis of biosignals, lifecycle stages, current advances, datasets, trends, and challenges

VAASI: Crafting valid and abnormal adversarial samples for anomaly detection systems in industrial scenarios

SUSAN: A Deep Learning based anomaly detection framework for sustainable industry

Malware Detection in Industrial Scenarios Using Machine Learning and Deep Learning Techniques

A methodology for evaluating the robustness of anomaly detectors to adversarial attacks in industrial scenarios

Crafting adversarial samples for anomaly detectors in industrial control systems

AuthCODE: A privacy-preserving and multi-device continuous authentication architecture based on machine and deep learning

SafeMan: A unified framework to manage cybersecurity and safety in manufacturing industry

Lorenzo Fernández Maimó Information

University

Position

Associate Professor of Computer Science. .

Citations(all)

829

Citations(since 2020)

745

Cited By

273

hIndex(all)

13

hIndex(since 2020)

11

i10Index(all)

15

i10Index(since 2020)

12

Email

University Profile Page

Universidad de Murcia

Google Scholar

View Google Scholar Profile

Lorenzo Fernández Maimó Skills & Research Interests

Machine learning

Deep learning

Top articles of Lorenzo Fernández Maimó

Title

Journal

Author(s)

Publication Date

Data fusion in neuromarketing: Multimodal analysis of biosignals, lifecycle stages, current advances, datasets, trends, and challenges

Mario Quiles Pérez

Enrique Tomás Martínez Beltrán

Sergio López Bernal

Eduardo Horna Prat

Luis Montesano Del Campo

...

2024/1/5

VAASI: Crafting valid and abnormal adversarial samples for anomaly detection systems in industrial scenarios

Journal of Information Security and Applications

Angel Luis Perales Gómez

Lorenzo Fernández Maimó

Alberto Huertas Celdrán

Félix J García Clemente

2023/12/1

SUSAN: A Deep Learning based anomaly detection framework for sustainable industry

Sustainable Computing: Informatics and Systems

Ángel Luis Perales Gómez

Lorenzo Fernández Maimó

Alberto Huertas Celdrán

Félix J García Clemente

2023/1/1

Malware Detection in Industrial Scenarios Using Machine Learning and Deep Learning Techniques

Ángel Luis Perales Gómez

Lorenzo Fernández Maimó

Alberto Huertas Celdrán

Félix Jesús García Clemente

2022

A methodology for evaluating the robustness of anomaly detectors to adversarial attacks in industrial scenarios

Ieee Access

Ángel Luis Perales Gómez

Lorenzo Fernández Maimó

Félix J García Clemente

Javier Alejandro Maroto Morales

Alberto Huertas Celdrán

...

2022/11/28

Crafting adversarial samples for anomaly detectors in industrial control systems

Procedia Computer Science

Ángel Luis Perales Gómez

Lorenzo Fernández Maimó

Alberto Huertas Celdrán

Félix J García Clemente

Frances Cleary

2021/1/1

AuthCODE: A privacy-preserving and multi-device continuous authentication architecture based on machine and deep learning

Computers & Security

Pedro Miguel Sánchez Sánchez

Lorenzo Fernández Maimó

Alberto Huertas Celdrán

Gregorio Martínez Pérez

2021/4/1

SafeMan: A unified framework to manage cybersecurity and safety in manufacturing industry

Software: Practice and Experience

Ángel Luis Perales Gómez

Lorenzo Fernández Maimó

Alberto Huertas Celdrán

Félix J García Clemente

Manuel Gil Pérez

...

2021/3

Health-related Quality of Life and Pancreas Transplantation. Does it Improve Outcomes?

HPB

J López-Sánchez

JE Quiñones-Sampedro

LM González Fernández

MJ Iglesias Iglesias

C Esteban Velasco

...

2021/1/1

Results of Pancreas Transplantation in a Medium Volume Center

HPB

J López-Sánchez

JE Quiñones Sampedro

C Esteban Velasco

LM González Fernández

MJ Iglesias Iglesias

...

2021/1/1

Anomaly Detection on Encrypted and High-Performance Data Networks by Means of Machine Learning Techniques

Lorenzo Fernandez Maimo

Alberto Huertas Celdrán

Félix J García Clemente

2020/12/16

Madics: A methodology for anomaly detection in industrial control systems

Symmetry

Ángel Luis Perales Gómez

Lorenzo Fernández Maimó

Alberto Huertas Celdrán

Félix J García Clemente

2020/9/23

Cyberattacks on miniature brain implants to disrupt spontaneous neural signaling

Ieee Access

Sergio Lopez Bernal

Alberto Huertas Celdran

Lorenzo Fernandez Maimo

Michael Taynnan Barros

Sasitharan Balasubramaniam

...

2020/8/17

BEHACOM-a dataset modelling users’ behaviour in computers

Data in Brief

Pedro M Sánchez Sánchez

José M Jorquera Valero

Mattia Zago

Alberto Huertas Celdrán

Lorenzo Fernández Maimó

...

2020/8/1

See List of Professors in Lorenzo Fernández Maimó University(Universidad de Murcia)

Co-Authors

H-index: 36
Gregorio Martinez Perez

Gregorio Martinez Perez

Universidad de Murcia

H-index: 23
Gines Garcia-Mateos

Gines Garcia-Mateos

Universidad de Murcia

H-index: 22
Felix J. Garcia Clemente

Felix J. Garcia Clemente

Universidad de Murcia

H-index: 22
Alberto Huertas Celdran

Alberto Huertas Celdran

Universität Zürich

H-index: 13
Pedro Enrique López de Teruel Alcolea

Pedro Enrique López de Teruel Alcolea

Universidad de Murcia

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