Davide Anguita

Davide Anguita

Università degli Studi di Genova

H-index: 42

Europe-Italy

About Davide Anguita

Davide Anguita, With an exceptional h-index of 42 and a recent h-index of 32 (since 2020), a distinguished researcher at Università degli Studi di Genova, specializes in the field of Data Analytics, Machine Learning, Computational Intelligence, Artificial Intelligence.

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

Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates

A review on ship motions and quiescent periods prediction models

Complementi sul progetto di reti combinatorie

Fair Empirical Risk Minimization Revised

DAYDREAMS-Development of Prescriptive Analytics based on Artificial Intelligence for Railways Intelligent Asset Management Systems

Introduzione ai componenti FPGA e alla progettazione mediante HDL

Physics Informed Data Driven Techniques for Power Flow Analysis

Towards Randomized Algorithms and Models that We Can Trust: a Theoretical Perspective

Davide Anguita Information

University

Position

DIBRIS - Italy

Citations(all)

10902

Citations(since 2020)

6610

Cited By

6882

hIndex(all)

42

hIndex(since 2020)

32

i10Index(all)

130

i10Index(since 2020)

73

Email

University Profile Page

Università degli Studi di Genova

Google Scholar

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Davide Anguita Skills & Research Interests

Data Analytics

Machine Learning

Computational Intelligence

Artificial Intelligence

Top articles of Davide Anguita

Title

Journal

Author(s)

Publication Date

Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates

arXiv preprint arXiv:2402.17390

Daniele Angioni

Luca Demetrio

Maura Pintor

Luca Oneto

Davide Anguita

...

2024/2/27

A review on ship motions and quiescent periods prediction models

Giulia Cademartori

Luca Oneto

Federica Valdenazzi

Andrea Coraddu

Andrea Gambino

...

2023/7/15

Complementi sul progetto di reti combinatorie

Giuliano Donzellini

Luca Oneto

Domenico Ponta

Davide Anguita

2023/5/3

Fair Empirical Risk Minimization Revised

Danilo Franco

Luca Oneto

Davide Anguita

2023/6/19

DAYDREAMS-Development of Prescriptive Analytics based on Artificial Intelligence for Railways Intelligent Asset Management Systems

Transportation Research Procedia

L Oneto

M Anastasopoulos

D Anguita

I Baroni

R Canepa

...

2023/1/1

Introduzione ai componenti FPGA e alla progettazione mediante HDL

Giuliano Donzellini

Luca Oneto

Domenico Ponta

Davide Anguita

2023/5/3

Physics Informed Data Driven Techniques for Power Flow Analysis

Guido Parodi

Luca Oneto

Giulio Ferro

Stefano Zampini

Michela Robba

...

2023/12/5

Towards Randomized Algorithms and Models that We Can Trust: a Theoretical Perspective

31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN

Luca Oneto

Sandro Ridella

Davide Anguita

2023

La Macchina a Stati Finiti come controllore di sistema

Giuliano Donzellini

Luca Oneto

Domenico Ponta

Davide Anguita

2023/5/3

New advances in artificial neural networks and machine learning techniques

Neural Processing Letters

Olga Valenzuela

Andreu Catala

Davide Anguita

Ignacio Rojas

2023/10

Aritmetica binaria

Giuliano Donzellini

Luca Oneto

Domenico Ponta

Davide Anguita

2023/5/3

Do we really need a new theory to understand over-parameterization?

Neurocomputing

Luca Oneto

Sandro Ridella

Davide Anguita

2023/7/28

Introduzione alle reti sequenziali

Giuliano Donzellini

Luca Oneto

Domenico Ponta

Davide Anguita

2023/5/3

The importance of multiple temporal scales in motion recognition: when shallow model can support deep multi scale models

Vincenzo D'Amato

Luca Oneto

Antonio Camurri

Davide Anguita

2022/7/18

Deep fair models for complex data: Graphs labeling and explainable face recognition

Neurocomputing

Danilo Franco

Nicolo Navarin

Michele Donini

Davide Anguita

Luca Oneto

2022/1/22

Do We Really Need a New Theory to Understand the Double-Descent?

Luca Oneto

Sandro Ridella

Davide Anguita

2022

The benefits of adversarial defense in generalization

Neurocomputing

Luca Oneto

Sandro Ridella

Davide Anguita

2022/9/21

Simple non regressive informed machine learning model for prescriptive maintenance of track circuits in a subway environment

Andrea Garrone

Simone Minisi

Luca Oneto

Carlo Dambra

Marco Borinato

...

2022/9/4

Toward learning trustworthily from data combining privacy, fairness, and explainability: an application to face recognition

Entropy

Danilo Franco

Luca Oneto

Nicolò Navarin

Davide Anguita

2021/8/14

Learn and Visually Explain Deep Fair Models: an Application to Face Recognition

Danilo Franco

Luca Oneto

Nicolò Navarin

Davide Anguita

2021/7/18

See List of Professors in Davide Anguita University(Università degli Studi di Genova)

Co-Authors

H-index: 110
Erik Cambria

Erik Cambria

Nanyang Technological University

H-index: 45
Alessandro Sperduti

Alessandro Sperduti

Università degli Studi di Padova

H-index: 40
Matthias RAUTERBERG

Matthias RAUTERBERG

Technische Universiteit Eindhoven

H-index: 38
Luca Oneto

Luca Oneto

Università degli Studi di Genova

H-index: 33
Sandro Ridella

Sandro Ridella

Università degli Studi di Genova

H-index: 28
Stefano Rovetta

Stefano Rovetta

Università degli Studi di Genova

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