A clustering algorithm for multivariate data streams with correlated components. - Giacomo Aletti; Alessandra Micheletti (J. Big Data, 2017)

RANSIP : From noisy point clouds to complete ear models, unsupervised. - Filipa Valdeira; Ricardo Ferreira 002; Alessandra Micheletti; Cláudia Soares (CoRR, 2020)

From Noisy Point Clouds to Complete Ear Shapes: Unsupervised Pipeline. - Filipa Valdeira; Ricardo Ferreira 002; Alessandra Micheletti; Cláudia Soares (IEEE Access, 2021)

Distributed fixed point method for solving systems of linear algebraic equations. - Dusan Jakovetic; Natasa Krejic; Natasa Krklec Jerinkic; Greta Malaspina; Alessandra Micheletti (Autom., 2021)

Emotion pattern detection on facial videos using functional statistics. - Rongjiao Ji; Alessandra Micheletti; Natasa Krklec Jerinkic; Zoranka Desnica (CoRR, 2021)

GENEOnet: A new machine learning paradigm based on Group Equivariant Non-Expansive Operators. An application to protein pocket detection. - Giovanni Bocchi; Patrizio Frosini; Alessandra Micheletti; Alessandro Pedretti; Carmen Gratteri; Filippo Lunghini; Andrea Rosario Beccari; Carmine Talarico (CoRR, 2022)

Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data. - Filipa Valdeira; Ricardo Ferreira 002; Alessandra Micheletti; Cláudia Soares (CoRR, 2022)

Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification. - Diogo Lavado; Cláudia Soares; Alessandra Micheletti; Giovanni Bocchi; Alex Coronati; Manuel Silva; Patrizio Frosini (CoRR, 2023)

Achieving Constraints in Neural Networks: A Stochastic Augmented Lagrangian Approach. - Diogo Lavado; Cláudia Soares; Alessandra Micheletti (CoRR, 2023)

Probabilistic Registration for Gaussian Process Three-Dimensional Shape Modelling in the Presence of Extensive Missing Data. - Filipa Valdeira; Ricardo Ferreira 002; Alessandra Micheletti; Cláudia Soares (SIAM J. Math. Data Sci., 2023)

A geometric XAI approach to protein pocket detection. - Giovanni Bocchi; Patrizio Frosini; Alessandra Micheletti; Alessandro Pedretti; Gianluca Palermo; Davide Gadioli; Carmen Gratteri; Filippo Lunghini; Andrea Rosario Beccari; Anna Fava; Carmine Talarico (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

TS40K: a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission System. - Diogo Lavado; Cláudia Soares; Alessandra Micheletti; Ricardo Santos; André Coelho; João Santos (CoRR, 2024)

Learning Under Noisy Labels, Spurious Points, and Diverse Structures: TS40K, a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission Systems. - Diogo Lavado; Ricardo Santos; André Coelho; João Santos; Alessandra Micheletti; Cláudia Soares (WACV, 2025)

Enhancing Power Grid Inspections with Machine Learning. - Diogo Lavado; Ricardo Santos; André Coelho; João Santos; Alessandra Micheletti; Cláudia Soares (CoRR, 2025)

GENEOnet: Statistical analysis supporting explainability and trustworthiness. - Giovanni Bocchi; Patrizio Frosini; Alessandra Micheletti; Alessandro Pedretti; Carmen Gratteri; Filippo Lunghini; Andrea Rosario Beccari; Carmine Talarico (CoRR, 2025)