Micheletti Alessandra
Tenured Associate Professor
Scientific-Disciplinary Sector
MATH-03/B - Probability and Mathematical Statistics
Scientific-Disciplinary Group/Competition Sector
01/MATH-03 - ANALISI MATEMATICA, PROBABILITA' E STATISTICA MATEMATICA
Research fields and competencies
Teaching - Programme courses
Bachelors and masters
A.Y. 2025/2026
A.Y. 2024/2025
A.Y. 2023/2024
A.Y. 2022/2023
A.Y. 2021/2022
A.Y. 2020/2021
A.Y. 2019/2020
A.Y. 2018/2019
Postgraduate programmes
A.Y. 2023/2024
1st level vocational master
- Decision Making and Optimization (Data Science for Economics, Businesses and Finance)
A.Y. 2022/2023
1st level vocational master
- Decision Making and Optimization (Data Science for Economics, Businesses and Finance)
Research
Publications
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GENEOnet: statistical analysis supporting explainability and trustworthiness / G. Bocchi, P. Frosini, A. Micheletti, A. Pedretti, C. Gratteri, F. Lunghini, A.R. Beccari, C. Talarico. - In: STATISTICS. - ISSN 0233-1888. - (2025), pp. 1-26. [Epub ahead of print] [10.1080/02331888.2025.2478203]
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Learning Under Noisy Labels, Spurious Points, and Diverse Structures: TS40K, a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission Systems / D. Lavado, R. Santos, A. Coelho, J. Santos, A. Micheletti, C. Soares - In: WACV[s.l] : Institute of Electrical and Electronics Engineers (IEEE), 2025. - ISBN 979-8-3315-1083-1. - pp. 7326-7336 (( convegno CVF Winter Conference on Applications of Computer Vision : 26 February - 06 March tenutosi a Tucson (USA) nel 2025 [10.1109/wacv61041.2025.00712].
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SCENE-Net V2: Interpretable Multiclass 3D Scene Understanding with Geometric Priors / D. Lavado, C. Soares, A. Micheletti (PROCEEDINGS OF MACHINE LEARNING RESEARCH). - In: Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICML 2024, 29 July 2024, Vienna, Austria / [a cura di] S. Vadgama, E. Bekkers, A. Pouplin, S.O. Kaba, R. Walters, H. Lawrence, T. Emerson, H. Kvinge, J. Tomczak, S. Jegelka. - [s.l] : PMLR, 2024 Dec. - pp. 222-232 (( convegno ELLIS Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) tenutosi a Wien nel 2024.
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The essential elicitation set for approximating a multi-attribute utility function in agronomy: a Gaussian process approach / F. Giordano Susi, L. Valleggi, A. Micheletti, F.M. Stefanini - In: Technology and Data Science for Economic and Social Development. Book of Short Papers of the ASA Bologna Conference / [a cura di] L. Fabbris, S. Mignani, G. Tassinari. - Prima edizione. - Padova : CLEUP, 2024 Aug. - pp. 405-410 (( convegno ASA 2023: Technology and Data Science for Economic and Social Development : 6-8 september tenutosi a Bologna nel 2023 [10.26398/asaproc.0067].
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Pandemic data quality modelling: a Bayesian approach in the Italian case / L. Ferrari, G. Manzi, A. Micheletti, F. Nicolussi, S. Salini. - In: QUALITY AND QUANTITY. - ISSN 1573-7845. - (2024), pp. 1-23. [Epub ahead of print] [10.1007/s11135-024-01913-x]