Alessandra Micheletti

According to our database, Alessandra Micheletti authored at least 18 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

GIBLy: Improving 3D Semantic Segmentation through an Architecture-Agnostic Lightweight Geometric Inductive Bias Layer.

Diogo Lavado, Alessandra Micheletti, Cláudia Soares

CoRR, May, 2026

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, March, 2025

Enhancing Power Grid Inspections with Machine Learning.

Diogo Lavado, Ricardo Santos, André Coelho, João Santos, Alessandra Micheletti, Cláudia Soares

CoRR, February, 2025

SCENE-Net: Geometric induction for interpretable and low-resource 3D pole detection with Group-Equivariant Non-Expansive Operators.

Diogo Lavado, Alessandra Micheletti, Giovanni Bocchi, Patrizio Frosini, Cláudia Soares

Comput. Vis. Image Underst., 2025

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

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

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

Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

SCENE-Net V2: Interpretable Multiclass 3D Scene Understanding with Geometric Priors.

Diogo Lavado, Cláudia Soares, Alessandra Micheletti

Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICML 2024, 2024

2023

Probabilistic Registration for Gaussian Process Three-Dimensional Shape Modelling in the Presence of Extensive Missing Data.

Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares

SIAM J. Math. Data Sci., June, 2023

Achieving Constraints in Neural Networks: A Stochastic Augmented Lagrangian Approach.

Diogo Lavado, Cláudia Soares, Alessandra Micheletti

CoRR, 2023

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

2022

Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data.

Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares

CoRR, 2022

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

2021

Emotion pattern detection on facial videos using functional statistics.

Rongjiao Ji, Alessandra Micheletti, Natasa Krklec Jerinkic, Zoranka Desnica

CoRR, 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

From Noisy Point Clouds to Complete Ear Shapes: Unsupervised Pipeline.

Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares

IEEE Access, 2021

2020

RANSIP : From noisy point clouds to complete ear models, unsupervised.

Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares

CoRR, 2020

2017

A clustering algorithm for multivariate data streams with correlated components.

Giacomo Aletti, Alessandra Micheletti

J. Big Data, 2017