Edoardo Bianchi

11 papers Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Plug-and-play neural compression: A knowledge distillation framework with flexible dimensionality reduction.
J. Syst. Archit.
Laura Meneghetti, Edoardo Bianchi, Nicola Demo, Gianluigi Rozza
2026 J jnl
ProfVLM: A lightweight video-language model for multi-view proficiency estimation.
Comput. Vis. Image Underst.
Edoardo Bianchi, Jacopo Staiano, Antonio Liotta
2025 J jnl
Beyond Relevance: An Adaptive Exploration-Based Framework for Personalized Recommendations.
CoRR
Edoardo Bianchi
2025 J jnl
Exploration on Demand: From Algorithmic Control to User Empowerment.
CoRR
Edoardo Bianchi
2025 — conf
Gate-Shift-Pose: Enhancing Action Recognition in Sports with Skeleton Information.
WACV (Workshops)
Edoardo Bianchi, Oswald Lanz
2025 J jnl
Gate-Shift-Pose: Enhancing Action Recognition in Sports with Skeleton Information.
CoRR
Edoardo Bianchi, Oswald Lanz
2025 — conf
KD-AHOSVD: Neural Network Compression via Knowledge Distillation and Tensor Decomposition.
DASIP
Laura Meneghetti, Edoardo Bianchi, Nicola Demo, Gianluigi Rozza
2025 J jnl
PATS: Proficiency-Aware Temporal Sampling for Multi-View Sports Skill Assessment.
CoRR
Edoardo Bianchi, Antonio Liotta
2025 J jnl
ProfVLM: A Lightweight Video-Language Model for Multi-View Proficiency Estimation.
CoRR
Edoardo Bianchi, Jacopo Staiano, Antonio Liotta
2025 J jnl
SkillFormer: Unified Multi-View Video Understanding for Proficiency Estimation.
CoRR
Edoardo Bianchi, Antonio Liotta
2025 J jnl
Uncovering hidden subtypes in dementia: An unsupervised machine learning approach to dementia diagnosis and personalization of care.
J. Biomed. Informatics
Andrea Campagner, Luca Marconi, Edoardo Bianchi, Beatrice Arosio, Paolo Rossi, Giorgio Annoni, Tiziano Angelo Lucchi, Nicola Montano, Federico Cabitza
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski