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ORCIDAndrea Gasparetto
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2020 – today
- 2024
[c17]Matteo Rizzo, Dalila Ressi, Andrea Gasparetto, Sabina Rossi:
A Comparison of Machine Learning Techniques for Ethereum Smart Contract Vulnerability Detection. OVERLAY 2024: 119-126- 2023
- [j4]Alessandro Zangari
, Matteo Marcuzzo, Michele Schiavinato, Andrea Gasparetto, Andrea Albarelli:
Ticket automation: An insight into current research with applications to multi-level classification scenarios. Expert Syst. Appl. 225: 119984 (2023) - [j3]Mara Pistellato, Filippo Bergamasco, Gianluca Bigaglia, Andrea Gasparetto, Andrea Albarelli, Marco Boschetti, Roberto Passerone:
Quantization-Aware NN Layers with High-throughput FPGA Implementation for Edge AI. Sensors 23(10): 4667 (2023) - 2022
- [j2]Matteo Marcuzzo, Alessandro Zangari, Andrea Albarelli, Andrea Gasparetto:
Recommendation Systems: An Insight Into Current Development and Future Research Challenges. IEEE Access 10: 86578-86623 (2022) - [j1]Andrea Gasparetto, Matteo Marcuzzo, Alessandro Zangari, Andrea Albarelli:
A Survey on Text Classification Algorithms: From Text to Predictions. Inf. 13(2): 83 (2022) - [c16]Matteo Marcuzzo, Alessandro Zangari, Michele Schiavinato, Lorenzo Giudice, Andrea Gasparetto, Andrea Albarelli:
A multi-level approach for hierarchical Ticket Classification. W-NUT@COLING 2022: 201-214 - [i2]Matteo Rizzo, Matteo Marcuzzo, Alessandro Zangari, Andrea Gasparetto, Andrea Albarelli:
Fruit Ripeness Classification: a Survey. CoRR abs/2212.14441 (2022) - 2021
- [i1]Francesco Pelosin, Andrea Gasparetto, Andrea Albarelli, Andrea Torsello:
Unsupervised semantic discovery through visual patterns detection. CoRR abs/2102.12213 (2021) - 2020
- [c15]Francesco Pelosin, Andrea Gasparetto, Andrea Albarelli, Andrea Torsello:
Unsupervised Semantic Discovery Through Visual Patterns Detection. S+SSPR 2020: 272-281
2010 – 2019
- 2019
- [c14]Mara Pistellato, Filippo Bergamasco, Andrea Albarelli, Luca Cosmo, Andrea Gasparetto, Andrea Torsello:
Stochastic Phase Estimation and Unwrapping. ICPRAM 2019: 200-209 - 2018
- [c13]Andrea Gasparetto, Dalila Ressi, Filippo Bergamasco, Mara Pistellato, Luca Cosmo, Marco Boschetti, Enrico Ursella, Andrea Albarelli:
Cross-Dataset Data Augmentation for Convolutional Neural Networks Training. ICPR 2018: 910-915 - [c12]Mara Pistellato, Luca Cosmo, Filippo Bergamasco, Andrea Gasparetto, Andrea Albarelli:
Adaptive Albedo Compensation for Accurate Phase-Shift Coding. ICPR 2018: 2450-2455 - [c11]Mara Pistellato, Filippo Bergamasco, Luca Cosmo, Andrea Gasparetto, Dalila Ressi, Andrea Albarelli:
Neighborhood-Based Recovery of Phase Unwrapping Faults. ICPR 2018: 2462-2467 - 2017
- [c10]Andrea Gasparetto, Luca Cosmo, Emanuele Rodolà, Michael M. Bronstein, Andrea Torsello:
Spatial Maps: From Low Rank Spectral to Sparse Spatial Functional Representations. 3DV 2017: 477-485 - [c9]Emanuele Rodolà, Luca Cosmo, Or Litany, Michael M. Bronstein, Alexander M. Bronstein, Nicolas Audebert, A. Ben Hamza, Alexandre Boulch, Umberto Castellani, Minh N. Do, Duc Anh Duong, Takahiko Furuya, Andrea Gasparetto, Y. Hong, J. Kim, Bertrand Le Saux, Roee Litman, Majid Masoumi, Giorgia Minello, Hai-Dang Nguyen, V.-T. Nguyen, Ryutarou Ohbuchi, Viet-Khoi Pham, Thuyen V. Phan, M. Rezaei, Andrea Torsello, Minh-Triet Tran, Q. T. Tran, Bao Truong, L. Wan, Changqing Zou:
Deformable Shape Retrieval with Missing Parts. 3DOR@Eurographics 2017 - [c8]Filippo Bergamasco, Luca Cosmo, Andrea Gasparetto, Andrea Albarelli, Andrea Torsello:
Parameter-Free Lens Distortion Calibration of Central Cameras. ICCV 2017: 3867-3875 - 2016
- [b1]Andrea Gasparetto:
Generative models for non-vectorial data. Ca' Foscari University of Venice, Italy, 2016 - [c7]Andrea Gasparetto, Luca Cosmo, Andrea Torsello, Richard C. Wilson:
Non-rigid dense bijective maps. ICPR 2016: 3781-3786 - 2015
- [c6]Andrea Gasparetto, Giorgia Minello, Andrea Torsello:
Non-parametric Spectral Model for Shape Retrieval. 3DV 2015: 344-352 - [c5]Andrea Gasparetto, Andrea Torsello:
A statistical model of Riemannian metric variation for deformable shape analysis. CVPR 2015: 1219-1228 - [c4]Andrea Albarelli, Luca Cosmo, Filippo Bergamasco, Andrea Gasparetto:
Objective and Subjective Metrics for 3D Display Perception Evaluation. ICPRAM (2) 2015: 309-317 - [c3]Andrea Gasparetto, Giorgia Minello, Andrea Torsello:
A Non-parametric Spectral Model for Graph Classification. ICPRAM (1) 2015: 312-319 - [c2]Michele Schiavinato, Andrea Gasparetto, Andrea Torsello:
Transitive Assignment Kernels for Structural Classification. SIMBAD 2015: 146-159 - 2014
- [c1]Andrea Torsello, Andrea Gasparetto, Luca Rossi, Lu Bai, Edwin R. Hancock:
Transitive State Alignment for the Quantum Jensen-Shannon Kernel. S+SSPR 2014: 22-31
Coauthor Index
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