Mauro Castelli

Mauro Castelli

Universidade Nova de Lisboa

H-index: 35

Europe-Portugal

About Mauro Castelli

Mauro Castelli, With an exceptional h-index of 35 and a recent h-index of 32 (since 2020), a distinguished researcher at Universidade Nova de Lisboa, specializes in the field of Genetic Programming, Machine Learning, Artificial Intelligence.

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

Geometric semantic genetic programming with normalized and standardized random programs

Automatic design of interpretable control laws through parametrized Genetic Programming with adjoint state method gradient evaluation

Artificial Intelligence for Impact Assessment of Administrative Burdens

Determinants of academic achievement: How parents and teachers influence high school students’ performance

Parametrizing GP Trees for Better Symbolic Regression Performance through Gradient Descent.

Semantic segmentation network stacking with genetic programming

A vision transformer architecture for the automated segmentation of retinal lesions in spectral domain optical coherence tomography images

Local Search, Semantics, and Genetic Programming: a Global Analysis

Mauro Castelli Information

University

Position

NOVA IMS

Citations(all)

5486

Citations(since 2020)

4021

Cited By

2514

hIndex(all)

35

hIndex(since 2020)

32

i10Index(all)

101

i10Index(since 2020)

85

Email

University Profile Page

Universidade Nova de Lisboa

Google Scholar

View Google Scholar Profile

Mauro Castelli Skills & Research Interests

Genetic Programming

Machine Learning

Artificial Intelligence

Top articles of Mauro Castelli

Title

Journal

Author(s)

Publication Date

Geometric semantic genetic programming with normalized and standardized random programs

Genetic Programming and Evolvable Machines

Illya Bakurov

José Manuel Muñoz Contreras

Mauro Castelli

Nuno Rodrigues

Sara Silva

...

2024/6

Automatic design of interpretable control laws through parametrized Genetic Programming with adjoint state method gradient evaluation

Applied Soft Computing

Francesco Marchetti

Gloria Pietropolli

Federico Julian Camerota Verdù

Mauro Castelli

Edmondo Minisci

2024/4/20

Artificial Intelligence for Impact Assessment of Administrative Burdens

Emerging Science Journal

Victor Costa

Pedro Coelho

Mauro Castelli

2024/2/1

Determinants of academic achievement: How parents and teachers influence high school students’ performance

Heliyon

Catarina Nunes

Tiago Oliveira

Mauro Castelli

Frederico Cruz-Jesus

2023/2/1

Parametrizing GP Trees for Better Symbolic Regression Performance through Gradient Descent.

Gloria Pietropolli

Federico Julian Camerota Verdù

Luca Manzoni

Mauro Castelli

2023/7/15

Semantic segmentation network stacking with genetic programming

Illya Bakurov

Marco Buzzelli

Raimondo Schettini

Mauro Castelli

Leonardo Vanneschi

2023/12

A vision transformer architecture for the automated segmentation of retinal lesions in spectral domain optical coherence tomography images

Scientific Reports

Daniel Philippi

Kai Rothaus

Mauro Castelli

2023/1/10

Local Search, Semantics, and Genetic Programming: a Global Analysis

arXiv preprint arXiv:2305.16956

Fabio Anselmi

Mauro Castelli

Alberto d'Onofrio

Luca Manzoni

Luca Mariot

...

2023/5/26

On the hybridization of geometric semantic GP with gradient-based optimizers

Genetic Programming and Evolvable Machines

Gloria Pietropolli

Luca Manzoni

Alessia Paoletti

Mauro Castelli

2023/12

Competitive intelligence empirical validation and application: Foundations for knowledge advancement and relevance to practice

Journal of Information Science

Luís Madureira

Aleš Popovič

Mauro Castelli

2023/9/6

Neuroevolution with box mutation: An adaptive and modular framework for evolving deep neural networks

Applied Soft Computing

Frederico JJB Santos

Ivo Gonçalves

Mauro Castelli

2023/11/1

Competitive Intelligence Maturity Models: Systematic Review, Unified Model and Implementation Frameworks

Luis Madureira

Aleš Popovič

Mauro Castelli

2023/5/21

A Genetic Programming Based Heuristic to Simplify Rugged Landscapes Exploration

Emerging Science Journal

Gloria Pietropolli

Giuliamaria Menara

Mauro Castelli

2023

A Self-Adaptive Approach to Exploit Topological Properties of Different GAs’ Crossover Operators

José Ferreira

Mauro Castelli

Luca Manzoni

Gloria Pietropolli

2023/3/29

Method for estimating targets’ dimensions using aerial surveillance cameras

IEEE Sensors Journal

Andrea Tonini

Marco Painho

Mauro Castelli

2023/10/24

Learning Curves Prediction for a Transformers-Based Model

Available at SSRN 4305463

Francisco Cruz

Mauro Castelli

2023

Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis

Scientific Reports

Cristiana Fiscone

Leonardo Rundo

Alessandra Lugaresi

David Neil Manners

Kieren Allinson

...

2023/9/27

Full-reference image quality expression via genetic programming

IEEE Transactions on Image Processing

Illya Bakurov

Marco Buzzelli

Raimondo Schettini

Mauro Castelli

Leonardo Vanneschi

2023/2/17

Commentary for the GPEM peer commentary special section on WB Langdon’s “Jaws 30”

Genetic Programming and Evolvable Machines

Mauro Castelli

2023/12

Brightness as an augmentation technique for image classification

Emerging Science Journal

Ibrahem Kandel

Mauro Castelli

Luca Manzoni

2022

See List of Professors in Mauro Castelli University(Universidade Nova de Lisboa)

Co-Authors

H-index: 55
Sean Luke

Sean Luke

George Mason University

H-index: 46
Una-May O'Reilly

Una-May O'Reilly

Massachusetts Institute of Technology

H-index: 42
Leonardo Vanneschi

Leonardo Vanneschi

Universidade Nova de Lisboa

H-index: 35
Aleš Popovič

Aleš Popovič

NEOMA Business School

H-index: 33
Krzysztof Krawiec

Krzysztof Krawiec

Politechnika Poznanska

H-index: 31
Ernesto Costa

Ernesto Costa

Universidade de Coimbra

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