Leonardo Vanneschi

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Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação

Portugal

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Recent Grants

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Ciência de Dados e o Sobre-Endividamento: Uso de Algoritmos de Inteligência Artificial no Consumo de Crédito e Conciliação de Endividamento em Portugal

Open Date: 2020-01-01

Close Date: 2022-12-01

Grant: Close

Deteção de padrões de adição em jogo online<br>

Open Date: 2019-01-01

Close Date: 2022-07-01

Grant: Close

Terapia personalizada para doenças reumáticas por intermédio de aprendizagem automática

Open Date: 2019-01-01

Close Date: 2021-12-01

Grant: Close

AICE

Open Date: 2018-01-01

Close Date: 2022-12-01

Grant: Close

PERSEIDS - Personalização de terapêuticas oncológicas através de modelação integrada e decisão

Open Date: 2016-06-01

Close Date: 2019-12-01

Articles (18)

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Collaborators (7)

Raimondo Schettini

University of Milano-Bicocca

ITALY

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Sara Silva

University of Lisbon

PORTUGAL

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Mauro Castelli

Universidade de Aveiro

PORTUGAL

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ANDREA TANGHERLONI

Assistant Professor

Bocconi University

ITALY

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Luca Manzoni

University of Trieste

ITALY

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Marco Painho

PORTUGAL

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Mario Giacobini

University of Turin

ITALY

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Leonardo Vanneschi

Research Interests

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Recent Grants

Articles (18)

A survey on dynamic populations in bio-inspired algorithms

Geometric semantic GP with linear scaling

Deep Learning Features Can Improve Radiomics-Based Prostate Cancer Aggressiveness Prediction

Geometric Semantic Genetic Programming with Normalized and Standardized Random Programs

Automatic feature extraction with Vectorial Genetic Programming for Alzheimer’s Disease prediction through handwriting analysis

Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data

Exploring SLUG

Full-Reference Image Quality Expression via Genetic Programming

Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming

A study of dynamic populations in geometric semantic genetic programming

A Comparative Study of Automated Deep Learning Segmentation Models for Prostate MRI

Few-Shot Learning for Post-Earthquake Urban Damage Detection

Improving Land Cover Classification Using Genetic Programming for Feature Construction

A Machine Learning Approach to Predict Air Quality in California

A Study of Generalization and Fitness Landscapes for Neuroevolution

Machine learning techniques to predict the effectiveness of music therapy: A randomized controlled trial

Predicting Days on Market to Optimize Real Estate Sales Strategy

Towards modelling beef cattle management with Genetic Programming

Collaborators (7)

Raimondo Schettini

Sara Silva

Mauro Castelli

ANDREA TANGHERLONI

Luca Manzoni

Marco Painho

Mario Giacobini

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