Andrea De Lorenzo

Andrea De Lorenzo

Università degli Studi di Trieste

H-index: 17

Europe-Italy

About Andrea De Lorenzo

Andrea De Lorenzo, With an exceptional h-index of 17 and a recent h-index of 16 (since 2020), a distinguished researcher at Università degli Studi di Trieste, specializes in the field of Artificial Intelligence, Machine Learning, Genetic Programming, Regular Expressions.

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

Enhancing Large Language Models-Based Code Generation by Leveraging Genetic Improvement

An analysis of the ingredients for learning interpretable symbolic regression models with human-in-the-loop and genetic programming

Cellular geometric semantic genetic programming

Discovering Non-Linear Boolean Functions by Evolving Walsh Transforms with Genetic Programming

Examining the Role of Incentives in Scholarly Publishing with Multi-Agent Reinforcement Learning

Evolution of Walsh Transforms with Genetic Programming

An evolutionary computation approach for twitter bot detection

Trajectory clustering for air traffic categorisation

Andrea De Lorenzo Information

University

Position

Assistant Professor

Citations(all)

1074

Citations(since 2020)

784

Cited By

581

hIndex(all)

17

hIndex(since 2020)

16

i10Index(all)

25

i10Index(since 2020)

21

Email

University Profile Page

Università degli Studi di Trieste

Google Scholar

View Google Scholar Profile

Andrea De Lorenzo Skills & Research Interests

Artificial Intelligence

Machine Learning

Genetic Programming

Regular Expressions

Top articles of Andrea De Lorenzo

Title

Journal

Author(s)

Publication Date

Enhancing Large Language Models-Based Code Generation by Leveraging Genetic Improvement

Giovanni Pinna

Damiano Ravalico

Luigi Rovito

Luca Manzoni

Andrea De Lorenzo

2024/3/28

An analysis of the ingredients for learning interpretable symbolic regression models with human-in-the-loop and genetic programming

ACM Transactions on Evolutionary Learning

Giorgia Nadizar

Luigi Rovito

Andrea De Lorenzo

Eric Medvet

Marco Virgolin

2024/2/23

Cellular geometric semantic genetic programming

Genetic Programming and Evolvable Machines

Lorenzo Bonin

Luigi Rovito

Andrea De Lorenzo

Luca Manzoni

2024/6

Discovering Non-Linear Boolean Functions by Evolving Walsh Transforms with Genetic Programming

Algorithms

Luigi Rovito

Andrea De Lorenzo

Luca Manzoni

2023/10/27

Examining the Role of Incentives in Scholarly Publishing with Multi-Agent Reinforcement Learning

Giulia Bernardi

Eric Medvet

Alberto Bartoli

Andrea De Lorenzo

2023/7/24

Evolution of Walsh Transforms with Genetic Programming

Luigi Rovito

Andrea De Lorenzo

Luca Manzoni

2023/7/15

An evolutionary computation approach for twitter bot detection

Applied Sciences

Luigi Rovito

Lorenzo Bonin

Luca Manzoni

Andrea De Lorenzo

2022/6/10

Trajectory clustering for air traffic categorisation

Aerospace

Tatjana Bolić

Lorenzo Castelli

Andrea De Lorenzo

Fulvio Vascotto

2022/4/21

Adults as Augmentations for Children in Facial Emotion Recognition with Contrastive Learning

arXiv preprint arXiv:2202.05187

Marco Virgolin

Andrea De Lorenzo

Tanja Alderliesten

Peter AN Bosman

2022/2/10

Model learning with personalized interpretability estimation (ML-PIE)

Marco Virgolin

Andrea De Lorenzo

Francesca Randone

Eric Medvet

Mattias Wahde

2021/7/7

Discrimination of quarry blasts from earthquakes using artificial neural networks

EGU General Assembly Conference Abstracts

Deniz Ertuncay

Andrea De Lorenzo

Giovanni Costa

2021/4

Generative adversarial networks for generating synthetic features for Wi-Fi signal quality

PloS one

Mauro Castelli

Luca Manzoni

Tatiane Espindola

Aleš Popovič

Andrea De Lorenzo

2021/11/23

Identification of near-fault impulsive signals and their initiation and termination positions with convolutional neural networks

Geosciences

Deniz Ertuncay

Andrea De Lorenzo

Giovanni Costa

2021/9/13

Design, validation, and case studies of 2D-VSR-Sim, an optimization-friendly simulator of 2-D Voxel-based Soft Robots

arXiv preprint arXiv:2001.08617

Eric Medvet

Alberto Bartoli

Andrea De Lorenzo

Stefano Seriani

2020/1/23

Mechanisms of social learning in evolved artificial life

Alberto Bartoli

Marco Catto

Andrea De Lorenzo

Eric Medvet

Jacopo Talamini

2020/7/1

Learning a formula of interpretability to learn interpretable formulas

Marco Virgolin

Andrea De Lorenzo

Eric Medvet

Francesca Randone

2020

Evolution of distributed neural controllers for voxel-based soft robots

Eric Medvet

Alberto Bartoli

Andrea De Lorenzo

Giulio Fidel

2020/6/25

Genetic programming in the twenty-first century: a bibliometric and content-based analysis from both sides of the fence

Andrea De Lorenzo

Alberto Bartoli

Mauro Castelli

Eric Medvet

Bing Xue

2020/6

Interactive example-based finding of text items

Expert Systems with Applications

Eric Medvet

Alberto Bartoli

Andrea De Lorenzo

Fabiano Tarlao

2020/9/15

On the impact of the rules on autonomous drive learning

Applied Sciences

Jacopo Talamini

Alberto Bartoli

Andrea De Lorenzo

Eric Medvet

2020/4/1

See List of Professors in Andrea De Lorenzo University(Università degli Studi di Trieste)

Co-Authors

H-index: 43
Francesco Mercaldo

Francesco Mercaldo

Università degli Studi del Molise

H-index: 35
Mauro Castelli

Mauro Castelli

Universidade Nova de Lisboa

H-index: 27
Eric Medvet

Eric Medvet

Università degli Studi di Trieste

H-index: 25
Luca Manzoni

Luca Manzoni

Università degli Studi di Trieste

H-index: 18
Lorenzo Castelli

Lorenzo Castelli

Università degli Studi di Trieste

H-index: 17
Stefano Seriani

Stefano Seriani

Università degli Studi di Trieste

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