David Rebollo-Monedero

David Rebollo-Monedero

Universidad Rovira i Virgili

H-index: 27

Europe-Spain

About David Rebollo-Monedero

David Rebollo-Monedero, With an exceptional h-index of 27 and a recent h-index of 15 (since 2020), a distinguished researcher at Universidad Rovira i Virgili, specializes in the field of Data Privacy, Information Theory, Machine Learning.

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

GNB-RPL: Gaussian Naïve Bayes for RPL Routing Protocol in Smart Grid Communications

Preserving empirical data utility in k-anonymous microaggregation via linear discriminant analysis

Mathematically optimized, recursive prepartitioning strategies for k-anonymous microaggregation of large-scale datasets

Inrisco: Incident monitoring in smart communities

The fast maximum distance to average vector (F-MDAV): An algorithm for k-anonymous microaggregation in big data

Fair detection of poisoning attacks in federated learning

David Rebollo-Monedero Information

University

Position

Visiting Lecturer

Citations(all)

3841

Citations(since 2020)

716

Cited By

3440

hIndex(all)

27

hIndex(since 2020)

15

i10Index(all)

46

i10Index(since 2020)

25

Email

University Profile Page

Universidad Rovira i Virgili

Google Scholar

View Google Scholar Profile

David Rebollo-Monedero Skills & Research Interests

Data Privacy

Information Theory

Machine Learning

Top articles of David Rebollo-Monedero

Title

Journal

Author(s)

Publication Date

GNB-RPL: Gaussian Naïve Bayes for RPL Routing Protocol in Smart Grid Communications

Ahmad Mohamad Mezher

Carlos Lester Dueñas Santos

David Rebollo-Monedero

Julián Cárdenas-Barrera

Mónica Aguilar Igartua

...

2023/10/30

Preserving empirical data utility in k-anonymous microaggregation via linear discriminant analysis

Engineering Applications of Artificial Intelligence

Ana Rodríguez-Hoyos

David Rebollo-Monedero

José Estrada-Jiménez

Jordi Forné

Luis Urquiza-Aguiar

2020/9/1

Mathematically optimized, recursive prepartitioning strategies for k-anonymous microaggregation of large-scale datasets

Expert Systems with Applications

Esteve Pallarès

David Rebollo-Monedero

Ana Rodríguez-Hoyos

José Estrada-Jiménez

Ahmad Mohamad Mezher

...

2020/4/15

Inrisco: Incident monitoring in smart communities

IEEE access

Mónica Aguilar Igartua

Florina Almenares Mendoza

Rebeca P Díaz Redondo

Manuela I Martín Vicente

Jordi Forné

...

2020/4/13

The fast maximum distance to average vector (F-MDAV): An algorithm for k-anonymous microaggregation in big data

Engineering Applications of Artificial Intelligence

Ana Rodriguez-Hoyos

José Estrada-Jiménez

David Rebollo-Monedero

Ahmad Mohamad Mezher

Javier Parra-Arnau

...

2020/4/1

Fair detection of poisoning attacks in federated learning

Ashneet Khandpur Singh

Alberto Blanco-Justicia

Josep Domingo-Ferrer

David Sánchez

David Rebollo-Monedero

2020/11/9

See List of Professors in David Rebollo-Monedero University(Universidad Rovira i Virgili)

Co-Authors

H-index: 108
Bernd Girod

Bernd Girod

Stanford University

H-index: 70
Josep Domingo-Ferrer

Josep Domingo-Ferrer

Universidad Rovira i Virgili

H-index: 58
Elena Ferrari

Elena Ferrari

Università degli Studi dell'Insubria

H-index: 49
Michael Gastpar

Michael Gastpar

École Polytechnique Fédérale de Lausanne

H-index: 41
Pier Luigi Dragotti

Pier Luigi Dragotti

Imperial College London

H-index: 37
Claudia Diaz

Claudia Diaz

Katholieke Universiteit Leuven

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