Andrea Gasparetto

According to our database, Andrea Gasparetto authored at least 25 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Comparison of Machine Learning Techniques for Ethereum Smart Contract Vulnerability Detection.

Matteo Rizzo, Dalila Ressi, Andrea Gasparetto, Sabina Rossi

Proceedings of the Short Paper Proceedings of the 6th International Workshop on Artificial Intelligence and Formal Verification, 2024

Stop Overkilling Simple Tasks with Black-Box Models, Use More Transparent Models Instead.

Matteo Rizzo, Matteo Marcuzzo, Alessandro Zangari, Michele Schiavinato, Andrea Albarelli, Andrea Gasparetto

Proceedings of the Pattern Recognition and Artificial Intelligence, 2024

Crossing the Divide: Designing Layers of Explainability.

Alessandro Zangari, Matteo Marcuzzo, Matteo Rizzo, Andrea Albarelli, Andrea Gasparetto

Proceedings of the Artificial Intelligence and Soft Computing, 2024

2023

Ticket automation: An insight into current research with applications to multi-level classification scenarios.

Alessandro Zangari, Matteo Marcuzzo, Michele Schiavinato, Andrea Gasparetto, Andrea Albarelli

Expert Syst. Appl., September, 2023

Quantization-Aware NN Layers with High-throughput FPGA Implementation for Edge AI.

Mara Pistellato, Filippo Bergamasco, Gianluca Bigaglia, Andrea Gasparetto, Andrea Albarelli, Marco Boschetti, Roberto Passerone

Sensors, 2023

2022

A Survey on Text Classification Algorithms: From Text to Predictions.

Andrea Gasparetto, Matteo Marcuzzo, Alessandro Zangari, Andrea Albarelli

Inf., 2022

Fruit Ripeness Classification: a Survey.

Matteo Rizzo, Matteo Marcuzzo, Alessandro Zangari, Andrea Gasparetto, Andrea Albarelli

CoRR, 2022

Recommendation Systems: An Insight Into Current Development and Future Research Challenges.

Matteo Marcuzzo, Alessandro Zangari, Andrea Albarelli, Andrea Gasparetto

IEEE Access, 2022

A multi-level approach for hierarchical Ticket Classification.

Matteo Marcuzzo, Alessandro Zangari, Michele Schiavinato, Lorenzo Giudice, Andrea Gasparetto, Andrea Albarelli

Proceedings of the Eighth Workshop on Noisy User-generated Text, 2022

2020

Unsupervised Semantic Discovery Through Visual Patterns Detection.

Francesco Pelosin, Andrea Gasparetto, Andrea Albarelli, Andrea Torsello

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

2019

Stochastic Phase Estimation and Unwrapping.

Mara Pistellato, Filippo Bergamasco, Andrea Albarelli, Luca Cosmo, Andrea Gasparetto, Andrea Torsello

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

2018

Adaptive Albedo Compensation for Accurate Phase-Shift Coding.

Mara Pistellato, Luca Cosmo, Filippo Bergamasco, Andrea Gasparetto, Andrea Albarelli

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Neighborhood-Based Recovery of Phase Unwrapping Faults.

Mara Pistellato, Filippo Bergamasco, Luca Cosmo, Andrea Gasparetto, Dalila Ressi, Andrea Albarelli

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Cross-Dataset Data Augmentation for Convolutional Neural Networks Training.

Andrea Gasparetto, Dalila Ressi, Filippo Bergamasco, Mara Pistellato, Luca Cosmo, Marco Boschetti, Enrico Ursella, Andrea Albarelli

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Parameter-Free Lens Distortion Calibration of Central Cameras.

Filippo Bergamasco, Luca Cosmo, Andrea Gasparetto, Andrea Albarelli, Andrea Torsello

Proceedings of the IEEE International Conference on Computer Vision, 2017

Deformable Shape Retrieval with Missing Parts.

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

Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 2017

Spatial Maps: From Low Rank Spectral to Sparse Spatial Functional Representations.

Andrea Gasparetto, Luca Cosmo, Emanuele Rodolà, Michael M. Bronstein, Andrea Torsello

Proceedings of the 2017 International Conference on 3D Vision, 2017

2016

Generative models for non-vectorial data.

Andrea Gasparetto

PhD thesis, 2016

Non-rigid dense bijective maps.

Andrea Gasparetto, Luca Cosmo, Andrea Torsello, Richard C. Wilson

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Transitive Assignment Kernels for Structural Classification.

Michele Schiavinato, Andrea Gasparetto, Andrea Torsello

Proceedings of the Similarity-Based Pattern Recognition - Third International Workshop, 2015

A Non-parametric Spectral Model for Graph Classification.

Andrea Gasparetto, Giorgia Minello, Andrea Torsello

Proceedings of the ICPRAM 2015, 2015

Objective and Subjective Metrics for 3D Display Perception Evaluation.

Andrea Albarelli, Luca Cosmo, Filippo Bergamasco, Andrea Gasparetto

Proceedings of the ICPRAM 2015, 2015

A statistical model of Riemannian metric variation for deformable shape analysis.

Andrea Gasparetto, Andrea Torsello

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Non-parametric Spectral Model for Shape Retrieval.

Andrea Gasparetto, Giorgia Minello, Andrea Torsello

Proceedings of the 2015 International Conference on 3D Vision, 2015

2014

Transitive State Alignment for the Quantum Jensen-Shannon Kernel.

Andrea Torsello, Andrea Gasparetto, Luca Rossi, Lu Bai, Edwin R. Hancock

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014