| A survey on text classification algorithms: From text to predictions A Gasparetto, M Marcuzzo, A Zangari, A Albarelli Information 13 (2), 83, 2022 | 124 | 2022 |
| Fruit ripeness classification: A survey M Rizzo, M Marcuzzo, A Zangari, A Gasparetto, A Albarelli Artificial Intelligence in Agriculture 7, 44-57, 2023 | 45 | 2023 |
| SHREC'17: Deformable shape retrieval with missing parts E Rodolà, L Cosmo, O Litany, MM Bronstein, AM Bronstein, N Audebert, ... Eurographics Workshop on 3D Object Retrieval, 2017 | 31 | 2017 |
| Recommendation systems: An insight into current development and future research challenges M Marcuzzo, A Zangari, A Albarelli, A Gasparetto IEEE Access 10, 86578-86623, 2022 | 25 | 2022 |
| A statistical model of Riemannian metric variation for deformable shape analysis A Gasparetto, A Torsello Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 25 | 2015 |
| Parameter-free lens distortion calibration of central cameras F Bergamasco, L Cosmo, A Gasparetto, A Albarelli, A Torsello Proceedings of the IEEE International Conference on Computer Vision, 3847-3855, 2017 | 19 | 2017 |
| Robust phase unwrapping by probabilistic consensus M Pistellato, F Bergamasco, A Albarelli, L Cosmo, A Gasparetto, ... Optics and lasers in engineering 121, 428-440, 2019 | 17 | 2019 |
| Transitive assignment kernels for structural classification M Schiavinato, A Gasparetto, A Torsello Similarity-Based Pattern Recognition: Third International Workshop, SIMBAD …, 2015 | 17 | 2015 |
| Spatial maps: From low rank spectral to sparse spatial functional representations A Gasparetto, L Cosmo, E Rodola, M Bronstein, A Torsello 2017 International Conference on 3D Vision (3DV), 477-485, 2017 | 16 | 2017 |
| Non-parametric spectral model for shape retrieval A Gasparetto, G Minello, A Torsello 2015 International Conference on 3D Vision, 344-352, 2015 | 14 | 2015 |
| Adaptive albedo compensation for accurate phase-shift coding M Pistellato, L Cosmo, F Bergamasco, A Gasparetto, A Albarelli 2018 24th International Conference on Pattern Recognition (ICPR), 2450-2455, 2018 | 13 | 2018 |
| Transitive state alignment for the quantum jensen-shannon kernel A Torsello, A Gasparetto, L Rossi, L Bai, ER Hancock Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2014 | 13 | 2014 |
| Cross-dataset data augmentation for convolutional neural networks training A Gasparetto, D Ressi, F Bergamasco, M Pistellato, L Cosmo, M Boschetti, ... 2018 24th International Conference on Pattern Recognition (ICPR), 910-915, 2018 | 11 | 2018 |
| A survey on text classification: Practical perspectives on the Italian language A Gasparetto, A Zangari, M Marcuzzo, A Albarelli Plos one 17 (7), e0270904, 2022 | 8 | 2022 |
| Ticket automation: An insight into current research with applications to multi-level classification scenarios A Zangari, M Marcuzzo, M Schiavinato, A Gasparetto, A Albarelli Expert Systems with Applications 225, 119984, 2023 | 7 | 2023 |
| A multi-level approach for hierarchical Ticket Classification M Marcuzzo, A Zangari, M Schiavinato, L Giudice, A Gasparetto, ... Proceedings of the Eighth Workshop on Noisy User-generated Text (W-NUT 2022 …, 2022 | 7 | 2022 |
| A survey on text classification algorithms: From text to predictions. Information, 13 (2), 83 A Gasparetto, M Marcuzzo, A Zangari, A Albarelli | 5 | 2022 |
| A non-parametric spectral model for graph classification A Gasparetto, G Minello, A Torsello International Conference on Pattern Recognition Applications and Methods 2 …, 2015 | 5 | 2015 |
| Quantization-Aware NN Layers with High-throughput FPGA Implementation for Edge AI M Pistellato, F Bergamasco, G Bigaglia, A Gasparetto, A Albarelli, ... Sensors 23 (10), 4667, 2023 | 2 | 2023 |
| Hierarchical Text Classification: a review of current research A Zangari, M Marcuzzo, M Schiavinato, M Rizzo, A Gasparetto, A Albarelli EXPERT SYSTEMS WITH APPLICATIONS 224, 2023 | 2 | 2023 |
Andrea AlbarelliUniversità Ca' Foscari di Venezia在 albarelli.it 的电子邮件经过验证
