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Andrea Gasparetto
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2020 – today
- 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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last updated on 2024-08-05 21:11 CEST by the dblp team
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