Alessandra Micheletti

18 papers A 1Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Enhancing Power Grid Inspections with Machine Learning.
CoRR
Diogo Lavado, Ricardo Santos, André Coelho, João Santos, Alessandra Micheletti, Cláudia Soares
2025 J jnl
GENEOnet: Statistical analysis supporting explainability and trustworthiness.
CoRR
Giovanni Bocchi, Patrizio Frosini, Alessandra Micheletti, Alessandro Pedretti, Carmen Gratteri, Filippo Lunghini, Andrea Rosario Beccari, Carmine Talarico
2025 A conf
Learning Under Noisy Labels, Spurious Points, and Diverse Structures: TS40K, a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission Systems.
WACV
Diogo Lavado, Ricardo Santos, André Coelho, João Santos, Alessandra Micheletti, Cláudia Soares
2025 J jnl
SCENE-Net: Geometric induction for interpretable and low-resource 3D pole detection with Group-Equivariant Non-Expansive Operators.
Comput. Vis. Image Underst.
Diogo Lavado, Alessandra Micheletti, Giovanni Bocchi, Patrizio Frosini, Cláudia Soares
2024 — conf
A geometric XAI approach to protein pocket detection.
xAI (Late-breaking Work, Demos, Doctoral Consortium)
Giovanni Bocchi, Patrizio Frosini, Alessandra Micheletti, Alessandro Pedretti, Gianluca Palermo, Davide Gadioli, Carmen Gratteri, Filippo Lunghini, Andrea Rosario Beccari, Anna Fava, Carmine Talarico
2024 — conf
SCENE-Net V2: Interpretable Multiclass 3D Scene Understanding with Geometric Priors.
GRaM
Diogo Lavado, Cláudia Soares, Alessandra Micheletti
2024 J jnl
TS40K: a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission System.
CoRR
Diogo Lavado, Cláudia Soares, Alessandra Micheletti, Ricardo Santos, André Coelho, João Santos
2023 J jnl
Achieving Constraints in Neural Networks: A Stochastic Augmented Lagrangian Approach.
CoRR
Diogo Lavado, Cláudia Soares, Alessandra Micheletti
2023 J jnl
Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification.
CoRR
Diogo Lavado, Cláudia Soares, Alessandra Micheletti, Giovanni Bocchi, Alex Coronati, Manuel Silva, Patrizio Frosini
2023 J jnl
Probabilistic Registration for Gaussian Process Three-Dimensional Shape Modelling in the Presence of Extensive Missing Data.
SIAM J. Math. Data Sci.
Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares
2022 J jnl
GENEOnet: A new machine learning paradigm based on Group Equivariant Non-Expansive Operators. An application to protein pocket detection.
CoRR
Giovanni Bocchi, Patrizio Frosini, Alessandra Micheletti, Alessandro Pedretti, Carmen Gratteri, Filippo Lunghini, Andrea Rosario Beccari, Carmine Talarico
2022 J jnl
Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data.
CoRR
Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares
2021 J jnl
Distributed fixed point method for solving systems of linear algebraic equations.
Autom.
Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic, Greta Malaspina, Alessandra Micheletti
2021 J jnl
Emotion pattern detection on facial videos using functional statistics.
CoRR
Rongjiao Ji, Alessandra Micheletti, Natasa Krklec Jerinkic, Zoranka Desnica
2021 J jnl
From Noisy Point Clouds to Complete Ear Shapes: Unsupervised Pipeline.
IEEE Access
Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares
2020 J jnl
Distributed Fixed Point Method for Solving Systems of Linear Algebraic Equations.
CoRR
Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic, Greta Malaspina, Alessandra Micheletti
2020 J jnl
RANSIP : From noisy point clouds to complete ear models, unsupervised.
CoRR
Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares
2017 J jnl
A clustering algorithm for multivariate data streams with correlated components.
J. Big Data
Giacomo Aletti, Alessandra Micheletti