Andrea Gasparetto

27 papers A* 2B 4C 1Journal 6Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Advanced Large Language Models Prompting Strategies for Reentrancy Classification and Explanation in Smart Contracts. BlockTEA Matteo Rizzo, Alvise Spanò, Lorenzo Benetollo, Dalila Ressi, Andrea Gasparetto, Sabina Rossi
2024	—	`conf`	A Comparison of Machine Learning Techniques for Ethereum Smart Contract Vulnerability Detection. OVERLAY Matteo Rizzo, Dalila Ressi, Andrea Gasparetto, Sabina Rossi
2024	—	`conf`	Crossing the Divide: Designing Layers of Explainability. ICAISC (1) Alessandro Zangari, Matteo Marcuzzo, Matteo Rizzo, Andrea Albarelli, Andrea Gasparetto
2024	—	`conf`	Stop Overkilling Simple Tasks with Black-Box Models, Use More Transparent Models Instead. ICPRAI (1) Matteo Rizzo, Matteo Marcuzzo, Alessandro Zangari, Michele Schiavinato, Andrea Albarelli, Andrea Gasparetto
2023	J	`jnl`	Quantization-Aware NN Layers with High-throughput FPGA Implementation for Edge AI. Sensors Mara Pistellato, Filippo Bergamasco, Gianluca Bigaglia, Andrea Gasparetto, Andrea Albarelli, Marco Boschetti, Roberto Passerone
2023	J	`jnl`	Ticket automation: An insight into current research with applications to multi-level classification scenarios. Expert Syst. Appl. Alessandro Zangari, Matteo Marcuzzo, Michele Schiavinato, Andrea Gasparetto, Andrea Albarelli
2022	J	`jnl`	A Survey on Text Classification Algorithms: From Text to Predictions. Inf. Andrea Gasparetto, Matteo Marcuzzo, Alessandro Zangari, Andrea Albarelli
2022	—	`conf`	A multi-level approach for hierarchical Ticket Classification. W-NUT@COLING Matteo Marcuzzo, Alessandro Zangari, Michele Schiavinato, Lorenzo Giudice, Andrea Gasparetto, Andrea Albarelli
2022	J	`jnl`	Fruit Ripeness Classification: a Survey. CoRR Matteo Rizzo, Matteo Marcuzzo, Alessandro Zangari, Andrea Gasparetto, Andrea Albarelli
2022	J	`jnl`	Recommendation Systems: An Insight Into Current Development and Future Research Challenges. IEEE Access Matteo Marcuzzo, Alessandro Zangari, Andrea Albarelli, Andrea Gasparetto
2021	J	`jnl`	Unsupervised semantic discovery through visual patterns detection. CoRR Francesco Pelosin, Andrea Gasparetto, Andrea Albarelli, Andrea Torsello
2020	—	`conf`	Unsupervised Semantic Discovery Through Visual Patterns Detection. S+SSPR Francesco Pelosin, Andrea Gasparetto, Andrea Albarelli, Andrea Torsello
2019	C	`conf`	Stochastic Phase Estimation and Unwrapping. ICPRAM Mara Pistellato, Filippo Bergamasco, Andrea Albarelli, Luca Cosmo, Andrea Gasparetto, Andrea Torsello
2018	B	`conf`	Adaptive Albedo Compensation for Accurate Phase-Shift Coding. ICPR Mara Pistellato, Luca Cosmo, Filippo Bergamasco, Andrea Gasparetto, Andrea Albarelli
2018	B	`conf`	Cross-Dataset Data Augmentation for Convolutional Neural Networks Training. ICPR Andrea Gasparetto, Dalila Ressi, Filippo Bergamasco, Mara Pistellato, Luca Cosmo, Marco Boschetti, Enrico Ursella, Andrea Albarelli
2018	B	`conf`	Neighborhood-Based Recovery of Phase Unwrapping Faults. ICPR Mara Pistellato, Filippo Bergamasco, Luca Cosmo, Andrea Gasparetto, Dalila Ressi, Andrea Albarelli
2017	—	`conf`	Deformable Shape Retrieval with Missing Parts. 3DOR@Eurographics 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
2017	A*	`conf`	Parameter-Free Lens Distortion Calibration of Central Cameras. ICCV Filippo Bergamasco, Luca Cosmo, Andrea Gasparetto, Andrea Albarelli, Andrea Torsello
2017	—	`conf`	Spatial Maps: From Low Rank Spectral to Sparse Spatial Functional Representations. 3DV Andrea Gasparetto, Luca Cosmo, Emanuele Rodolà, Michael M. Bronstein, Andrea Torsello
2016	—	`—`	Generative models for non-vectorial data. Andrea Gasparetto
2016	B	`conf`	Non-rigid dense bijective maps. ICPR Andrea Gasparetto, Luca Cosmo, Andrea Torsello, Richard C. Wilson
2015	—	`conf`	A Non-parametric Spectral Model for Graph Classification. ICPRAM (1) Andrea Gasparetto, Giorgia Minello, Andrea Torsello
2015	A*	`conf`	A statistical model of Riemannian metric variation for deformable shape analysis. CVPR Andrea Gasparetto, Andrea Torsello
2015	—	`conf`	Non-parametric Spectral Model for Shape Retrieval. 3DV Andrea Gasparetto, Giorgia Minello, Andrea Torsello
2015	—	`conf`	Objective and Subjective Metrics for 3D Display Perception Evaluation. ICPRAM (2) Andrea Albarelli, Luca Cosmo, Filippo Bergamasco, Andrea Gasparetto
2015	—	`conf`	Transitive Assignment Kernels for Structural Classification. SIMBAD Michele Schiavinato, Andrea Gasparetto, Andrea Torsello
2014	—	`conf`	Transitive State Alignment for the Quantum Jensen-Shannon Kernel. S+SSPR Andrea Torsello, Andrea Gasparetto, Luca Rossi, Lu Bai, Edwin R. Hancock