Transitive State Alignment for the Quantum Jensen-Shannon Kernel. - Andrea Torsello; Andrea Gasparetto; Luca Rossi 004; Lu Bai 001; Edwin R. Hancock (S+SSPR, 2014)

Non-parametric Spectral Model for Shape Retrieval. - Andrea Gasparetto; Giorgia Minello; Andrea Torsello (3DV, 2015)

A statistical model of Riemannian metric variation for deformable shape analysis. - Andrea Gasparetto; Andrea Torsello (CVPR, 2015)

Objective and Subjective Metrics for 3D Display Perception Evaluation. - Andrea Albarelli; Luca Cosmo; Filippo Bergamasco; Andrea Gasparetto (ICPRAM (2), 2015)

A Non-parametric Spectral Model for Graph Classification. - Andrea Gasparetto; Giorgia Minello; Andrea Torsello (ICPRAM (1), 2015)

Transitive Assignment Kernels for Structural Classification. - Michele Schiavinato; Andrea Gasparetto; Andrea Torsello (SIMBAD, 2015)

Non-rigid dense bijective maps. - Andrea Gasparetto; Luca Cosmo; Andrea Torsello; Richard C. Wilson 001 (ICPR, 2016)

Generative models for non-vectorial data. - Andrea Gasparetto (2016)

Spatial Maps: From Low Rank Spectral to Sparse Spatial Functional Representations. - Andrea Gasparetto; Luca Cosmo; Emanuele Rodolà; Michael M. Bronstein; Andrea Torsello (3DV, 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; et al. (3DOR@Eurographics, 2017)

Parameter-Free Lens Distortion Calibration of Central Cameras. - Filippo Bergamasco; Luca Cosmo; Andrea Gasparetto; Andrea Albarelli; Andrea Torsello (ICCV, 2017)

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 (ICPR, 2018)

Neighborhood-Based Recovery of Phase Unwrapping Faults. - Mara Pistellato; Filippo Bergamasco; Luca Cosmo; Andrea Gasparetto; Dalila Ressi; Andrea Albarelli (ICPR, 2018)

Adaptive Albedo Compensation for Accurate Phase-Shift Coding. - Mara Pistellato; Luca Cosmo; Filippo Bergamasco; Andrea Gasparetto; Andrea Albarelli (ICPR, 2018)

Stochastic Phase Estimation and Unwrapping. - Mara Pistellato; Filippo Bergamasco; Andrea Albarelli; Luca Cosmo; Andrea Gasparetto; Andrea Torsello (ICPRAM, 2019)

Unsupervised Semantic Discovery Through Visual Patterns Detection. - Francesco Pelosin; Andrea Gasparetto; Andrea Albarelli; Andrea Torsello (S+SSPR, 2020)

A multi-level approach for hierarchical Ticket Classification. - Matteo Marcuzzo; Alessandro Zangari; Michele Schiavinato; Lorenzo Giudice; Andrea Gasparetto; Andrea Albarelli (W-NUT@COLING, 2022)

Recommendation Systems: An Insight Into Current Development and Future Research Challenges. - Matteo Marcuzzo; Alessandro Zangari; Andrea Albarelli; Andrea Gasparetto (IEEE Access, 2022)

Fruit Ripeness Classification: a Survey. - Matteo Rizzo; Matteo Marcuzzo; Alessandro Zangari; Andrea Gasparetto; Andrea Albarelli (CoRR, 2022)

A Survey on Text Classification Algorithms: From Text to Predictions. - Andrea Gasparetto; Matteo Marcuzzo; Alessandro Zangari; Andrea Albarelli (Inf., 2022)

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)

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., 2023)

Crossing the Divide: Designing Layers of Explainability. - Alessandro Zangari; Matteo Marcuzzo; Matteo Rizzo; Andrea Albarelli; Andrea Gasparetto (ICAISC (1), 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 (ICPRAI (1), 2024)

A Comparison of Machine Learning Techniques for Ethereum Smart Contract Vulnerability Detection. - Matteo Rizzo; Dalila Ressi; Andrea Gasparetto; Sabina Rossi (OVERLAY, 2024)