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Publication search results
found 130 matches
- 2025
- Elena Morotti, Davide Evangelista, Andrea Sebastiani, Elena Loli Piccolomini:
Adaptive Weighted Total Variation boosted by learning techniques in few-view tomographic imaging. CoRR abs/2501.09845 (2025) - Tatiana A. Bubba, Luca Ratti, Andrea Sebastiani:
Revisiting ΨDONet: microlocally inspired filters for incomplete-data tomographic reconstructions. CoRR abs/2501.18219 (2025) - 2024
- Giuseppe Spallitta, Gabriele Masina
, Paolo Morettin, Andrea Passerini, Roberto Sebastiani:
Enhancing SMT-based Weighted Model Integration by structure awareness. Artif. Intell. 328: 104067 (2024) - Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta, Andrea Sebastiani:
A variable metric proximal stochastic gradient method: An application to classification problems. EURO J. Comput. Optim. 12: 100088 (2024) - Andrea Pedrotti, Alejandro Moreo, Fabrizio Sebastiani:
Multimodal Heterogeneous Transfer Learning for Multilingual Image-Text Classification. DS (LB) 2024 - Devanarayanan Ettisserry, Angelo Visconti, Mauro Bonanomi, Riccardo Pazzocco, Andrea Locatelli, Alessandro Sebastiani, Ashonita Chavan, Matthew Hollander, Giorgio Servalli, Alessandro Calderoni, Nirmal Ramaswamy:
Comprehensive Reliability Assessment of 32Gb (Hf,Zr)O2-Based Ferroelectric NVDRAM. IRPS 2024: 1-8 - Andrea Esuli, Alejandro Moreo Fernández, Fabrizio Sebastiani:
Learning to quantify: LeQua 2024 datasets. Version 2. Zenodo, 2024 [all versions] - Andrea Esuli, Alejandro Moreo Fernández, Fabrizio Sebastiani:
Learning to quantify: LeQua 2024 datasets. Version 1. Zenodo, 2024 [all versions] - Andrea Esuli, Alejandro Moreo Fernández, Fabrizio Sebastiani:
Learning to quantify: LeQua 2024 datasets. Multiple versions. Zenodo, 2024 [all versions] - Paolo Morettin, Andrea Passerini, Roberto Sebastiani:
A Unified Framework for Probabilistic Verification of AI Systems via Weighted Model Integration. CoRR abs/2402.04892 (2024) - Elena Morotti, Davide Evangelista, Andrea Sebastiani, Elena Loli Piccolomini:
Space-Variant Total Variation boosted by learning techniques in few-view tomographic imaging. CoRR abs/2404.16900 (2024) - Muhammad Waseem Akram, Marco Vannucci, Giorgio C. Buttazzo, Valentina Colla, Stefano Roccella, Andrea Vannini, Giovanni Caruso, Simone Nesi, Alessandra Francini, Luca Sebastiani:
Automating grapevine LAI features estimation with UAV imagery and machine learning. CoRR abs/2411.17897 (2024) - 2023
- Andrea Esuli, Alessandro Fabris, Alejandro Moreo, Fabrizio Sebastiani:
Learning to Quantify. The Information Retrieval Series 47, Springer 2023, ISBN 978-3-031-20466-1, pp. 1-123 - Elena Loli Piccolomini, Marco Prato, Margherita Scipione, Andrea Sebastiani:
CTprintNet: An Accurate and Stable Deep Unfolding Approach for Few-View CT Reconstruction. Algorithms 16(6): 270 (2023) - Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta, Andrea Sebastiani:
Constrained and unconstrained deep image prior optimization models with automatic regularization. Comput. Optim. Appl. 84(1): 125-149 (2023) - Alessio Molinari, Andrea Esuli, Fabrizio Sebastiani:
Improved risk minimization algorithms for technology-assisted review. Intell. Syst. Appl. 18: 200209 (2023) - Alessandro Fabris, Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach. J. Artif. Intell. Res. 76: 1117-1180 (2023) - Barbara Berti, Andrea Esuli, Fabrizio Sebastiani:
Unravelling interlanguage facts via explainable machine learning. Digit. Scholarsh. Humanit. 38(3): 953-977 (2023) - Alejandro Moreo, Andrea Pedrotti, Fabrizio Sebastiani:
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification. ACM Trans. Inf. Syst. 41(2): 36:1-36:37 (2023) - Giuseppe Spallitta, Gabriele Masina, Paolo Morettin, Andrea Passerini, Roberto Sebastiani:
Enhancing SMT-based Weighted Model Integration by Structure Awareness. CoRR abs/2302.06188 (2023) - Tatiana A. Bubba, Luca Calatroni, Ambra Catozzi, Serena Crisci, Thomas Pock, Monica Pragliola, Siiri Rautio, Danilo Riccio, Andrea Sebastiani:
Bilevel learning of regularization models and their discretization for image deblurring and super-resolution. CoRR abs/2302.10056 (2023) - 2022
- Pasquale Cascarano, Elena Loli Piccolomini, Elena Morotti, Andrea Sebastiani:
Plug-and-Play gradient-based denoisers applied to CT image enhancement. Appl. Math. Comput. 422: 126967 (2022) - Pasquale Cascarano, Maria Colomba Comes, Andrea Sebastiani, Arianna Mencattini, Elena Loli Piccolomini, Eugenio Martinelli:
DeepCEL0 for 2D single-molecule localization in fluorescence microscopy. Bioinform. 38(5): 1411-1419 (2022) - Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Lost in Transduction: Transductive Transfer Learning in Text Classification. ACM Trans. Knowl. Discov. Data 16(1): 13:1-13:21 (2022) - Alessio Molinari, Andrea Esuli, Fabrizio Sebastiani:
Active Learning and the Saerens-Latinne-Decaestecker Algorithm: An Evaluation. CIRCLE 2022 - Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani, Gianluca Sperduti:
A Detailed Overview of LeQua@CLEF 2022: Learning to Quantify. CLEF (Working Notes) 2022: 1849-1868 - Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani, Gianluca Sperduti:
A Concise Overview of LeQua@CLEF 2022: Learning to Quantify. CLEF 2022: 362-381 - Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
LeQua@CLEF2022: Learning to Quantify. ECIR (2) 2022: 374-381 - Giuseppe Spallitta, Gabriele Masina, Paolo Morettin, Andrea Passerini, Roberto Sebastiani:
SMT-based weighted model integration with structure awareness. UAI 2022: 1876-1885 - Giuseppe Spallitta, Gabriele Masina, Paolo Morettin, Andrea Passerini, Roberto Sebastiani:
SMT-based Weighted Model Integration with Structure Awareness. CoRR abs/2206.13856 (2022)
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