Giovanni Squillero

Giovanni Squillero

Politecnico di Torino

H-index: 31

Europe-Italy

About Giovanni Squillero

Giovanni Squillero, With an exceptional h-index of 31 and a recent h-index of 16 (since 2020), a distinguished researcher at Politecnico di Torino, specializes in the field of Computational Intelligence, Soft Computing, Computer-Aided Design.

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

A real-time novelty recognition framework based on machine learning for fault detection

Towards Evolutionary Control Laws for Viability Problems

COVID-19 Detection from Mass Spectra of Exhaled Breath

Veni, Vidi, Evolvi commentary on WB Langdon’s “Jaws 30”

Semi-Supervised Deep Learning for Microcontroller Performance Screening

Enabling Inter-Product Transfer Learning on MCU Performance Screening

Feature Selection for Cost Reduction In MCU Performance Screening

U-FLEX: Unsupervised Feature Learning with Evolutionary eXploration

Giovanni Squillero Information

University

Position

___

Citations(all)

4726

Citations(since 2020)

1573

Cited By

3774

hIndex(all)

31

hIndex(since 2020)

16

i10Index(all)

99

i10Index(since 2020)

33

Email

University Profile Page

Politecnico di Torino

Google Scholar

View Google Scholar Profile

Giovanni Squillero Skills & Research Interests

Computational Intelligence

Soft Computing

Computer-Aided Design

Top articles of Giovanni Squillero

Title

Journal

Author(s)

Publication Date

A real-time novelty recognition framework based on machine learning for fault detection

Algorithms

Umberto Albertin

Giuseppe Pedone

Matilde Brossa

Giovanni Squillero

Marcello Chiaberge

2023/1/17

Towards Evolutionary Control Laws for Viability Problems

Alberto Tonda

Isabelle Alvarez

Sophie Martin

Giovanni Squillero

Evelyne Lutton

2023/7/15

COVID-19 Detection from Mass Spectra of Exhaled Breath

arXiv preprint arXiv:2305.19211

Nicolò Bellarmino

Giorgio Bozzini

Riccardo Cantoro

Francesco Castelletti

Michele Castelluzzo

...

2023/5/30

Veni, Vidi, Evolvi commentary on WB Langdon’s “Jaws 30”

Genetic Programming and Evolvable Machines

Giovanni Squillero

Alberto Tonda

2023/12

Semi-Supervised Deep Learning for Microcontroller Performance Screening

Nicolò Bellarmino

Riccardo Cantoro

Martin Huch

Tobias Kilian

Ulf Schlichtmann

...

2023/5/22

Enabling Inter-Product Transfer Learning on MCU Performance Screening

Nicolò Bellarmino

Riccardo Cantoro

Martin Huch

Tobias Kilian

Ulf Schlichtmann

...

2023/10/14

Feature Selection for Cost Reduction In MCU Performance Screening

Nicolò Bellarmino

Riccardo Cantoro

Martin Huch

Tobias Kilian

Ulf Schlichtmann

...

2023/3/21

U-FLEX: Unsupervised Feature Learning with Evolutionary eXploration

Nicolo’ Bellarmino

Riccardo Cantoro

Giovanni Squillero

2023/9/22

A Multi-Label Active Learning Framework for Microcontroller Performance Screening

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Nicolò Bellarmino

Riccardo Cantoro

Martin Huch

Tobias Kilian

Raffaele Martone

...

2023/2/16

Transfer Learning in MCU Performance Screening

Nicolo Bellarmino

Riccardo Cantoro

Martin Huch

Tobias Kilian

Ulf Schlichtmann

...

2023/9/10

SP2-Test, Reliability and Functional Safety Trends for Automotive System-on-Chip

F Angione

D Appello

J Aribido

J Athavale

N Bellarmino

...

2022

Theory and practice of population diversity in evolutionary computation

Dirk Sudholt

Giovanni Squillero

2022/7/9

Test, reliability and functional safety trends for automotive system-on-chip

Francesco Angione

Davide Appello

J Aribido

Jyotika Athavale

Nicolò Bellarmino

...

2022/5/23

A virtual sensor for backlash in robotic manipulators

Journal of Intelligent Manufacturing

Eliana Giovannitti

Sayyidshahab Nabavi

Giovanni Squillero

Alberto Tonda

2022/10

Public-Private Partnership: Evolutionary Algorithms as a Solution to Information Asymmetry

Simone Pellegrino

Massimo Rebuglio

Giovanni Squillero

2022/4/15

Microcontroller performance screening: Optimizing the characterization in the presence of anomalous and noisy data

Nicolò Bellarmino

Riccardo Cantoro

Martin Huch

Tobias Kilian

Ulf Schlichtmann

...

2022/9/12

Machine learning for hardware security: Classifier-based identification of Trojans in pipelined microprocessors

Applied Soft Computing

Aleksa Damljanovic

Annachiara Ruospo

Ernesto Sanchez

Giovanni Squillero

2022/2/1

Social Influence Analysis (SIA) in Online Social Networks

Leszkiewicz Agata

Bucur Doina

Grimme Christian

Michalski Radoslaw

Clever Lena

...

2022

Smart Techniques for Flying-probe Testing.

Andrea Calabrese

Stefano Quer

Giovanni Squillero

2021

Predictable features elimination: An unsupervised approach to feature selection

Pietro Barbiero

Giovanni Squillero

Alberto Tonda

2021/10/4

See List of Professors in Giovanni Squillero University(Politecnico di Torino)

Co-Authors

H-index: 67
Rolf Drechsler

Rolf Drechsler

Universität Bremen

H-index: 52
Matteo SONZA REORDA

Matteo SONZA REORDA

Politecnico di Torino

H-index: 44
Massimo Violante

Massimo Violante

Politecnico di Torino

H-index: 43
Maurizio Rebaudengo

Maurizio Rebaudengo

Politecnico di Torino

H-index: 42
Juan J. Merelo Guervós

Juan J. Merelo Guervós

Universidad de Granada

H-index: 42
Fulvio Corno

Fulvio Corno

Politecnico di Torino

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