Stefano Marchesin

90 papers A* 5A 3B 2Misc 1Journal 27Unranked 48
YearRankTypeTitle / Venue / Authors
2026 — conf
A Domain-Specific Curated Benchmark for Entity and Document-Level Relation Extraction.
EACL (Findings)
Marco Martinelli, Stefano Marchesin, Vanessa Bonato, Giorgio Maria Di Nunzio, Nicola Ferro, Ornella Irrera, Laura Menotti, Federica Vezzani, Gianmaria Silvello
2026 J jnl
A Domain-Specific Curated Benchmark for Entity and Document-Level Relation Extraction.
CoRR
Marco Martinelli, Stefano Marchesin, Vanessa Bonato, Giorgio Maria Di Nunzio, Nicola Ferro, Ornella Irrera, Laura Menotti, Federica Vezzani, Gianmaria Silvello
2026 B conf
Benchmarking Large Language Models for Knowledge Graph Validation.
EDBT
Farzad Shami, Stefano Marchesin, Gianmaria Silvello
2026 J jnl
Benchmarking Large Language Models for Knowledge Graph Validation.
CoRR
Farzad Shami, Stefano Marchesin, Gianmaria Silvello
2026 — conf
BioASQ at CLEF2026: The Fourteenth Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge.
ECIR (4)
Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara, Martin Krallinger, Miguel Rodríguez-Ortega, Eduard Rodriguez-López, Natalia V. Loukachevitch, Igor Rozhkov, Elena Tutubalina, Grigorios Tsoumakas, George Giannakoulas, Dimitris Dimitriadis, Alexandra Bekiaridou, Athanasios Samaras, Vasiliki Patsiou, Giorgio Maria Di Nunzio, Nicola Ferro, Stefano Marchesin, Marco Martinelli, Gianmaria Silvello, Georgios Paliouras
2026 J jnl
DOREMI: Optimizing Long Tail Predictions in Document-Level Relation Extraction.
CoRR
Laura Menotti, Stefano Marchesin, Gianmaria Silvello
2026 J jnl
DOREMI: Optimizing long tail predictions in document-level relation extraction.
Knowl. Based Syst.
Laura Menotti, Stefano Marchesin, Gianmaria Silvello
2026 J jnl
Efficient and Reliable Estimation of Named Entity Linking Quality: A Case Study on GutBrainIE.
CoRR
Marco Martinelli, Stefano Marchesin, Gianmaria Silvello
2026 — conf
Reducing Human Effort to Validate LLM Relevance Judgements via Stratified Sampling.
ECIR (1)
Simone Merlo, Stefano Marchesin, Guglielmo Faggioli, Nicola Ferro
2025 A conf
A Cost-Effective Framework to Evaluate LLM-Generated Relevance Judgements.
CIKM
Simone Merlo, Stefano Marchesin, Guglielmo Faggioli, Nicola Ferro
2025 — conf
Binomial Confidence Intervals for Knowledge Graph Accuracy Estimation (Extended Abstract).
SEBD
Stefano Marchesin, Gianmaria Silvello
2025 — conf
BioASQ at CLEF2025: The Thirteenth Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge.
ECIR (5)
Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara, Martin Krallinger, Miguel Rodríguez-Ortega, Natalia V. Loukachevitch, Andrey Sakhovskiy, Elena Tutubalina, Grigorios Tsoumakas, George Giannakoulas, Alexandra Bekiaridou, Athanasios Samaras, Giorgio Maria Di Nunzio, Nicola Ferro, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Georgios Paliouras
2025 J jnl
Credible Intervals for Knowledge Graph Accuracy Estimation.
CoRR
Stefano Marchesin, Gianmaria Silvello
2025 J jnl
Credible Intervals for Knowledge Graph Accuracy Estimation.
Proc. ACM Manag. Data
Stefano Marchesin, Gianmaria Silvello
2025 A* conf
Doctron: A Web-based Collaborative Annotation Tool for Ground Truth Creation in IR.
SIGIR
Ornella Irrera, Stefano Marchesin, Farzad Shami, Gianmaria Silvello
2025 — conf
Enhancing Ground Truth Creation for IR Through Web-Based Collaborative Annotation.
IIR
Ornella Irrera, Stefano Marchesin, Gianmaria Silvello
2025 — conf
Extending Nanopublications with Knowledge Provenance for Multi-Source Scientific Assertions.
IRCDL
Fabio Giachelle, Stefano Marchesin, Laura Menotti, Gianmaria Silvello
2025 A* conf
Fact Verification in Knowledge Graphs Using LLMs.
SIGIR
Farzad Shami, Stefano Marchesin, Gianmaria Silvello
2025 J jnl
Large Language Models and Data Quality for Knowledge Graphs.
Inf. Process. Manag.
Stefano Marchesin, Gianmaria Silvello, Omar Alonso
2025 — conf
MetaTron: Streamlining Collaborative Annotation for Biomedical Documents.
SWAT4HCLS
Ornella Irrera, Stefano Marchesin, Gianmaria Silvello
2025 — conf
Overview of BioASQ 2025: The Thirteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering.
CLEF
Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara, Martin Krallinger, Miguel Rodríguez-Ortega, Eduard Rodriguez-López, Natalia V. Loukachevitch, Andrey Sakhovskiy, Elena Tutubalina, Dimitris Dimitriadis, Grigorios Tsoumakas, George Giannakoulas, Alexandra Bekiaridou, Athanasios Samaras, Giorgio Maria Di Nunzio, Nicola Ferro, Stefano Marchesin, Marco Martinelli, Gianmaria Silvello, Georgios Paliouras
2025 J jnl
Overview of BioASQ 2025: The Thirteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering.
CoRR
Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara, Martin Krallinger, Miguel Rodríguez-Ortega, Eduard Rodriguez-López, Natalia V. Loukachevitch, Andrey Sakhovskiy, Elena Tutubalina, Dimitris Dimitriadis, Grigorios Tsoumakas, George Giannakoulas, Alexandra Bekiaridou, Athanasios Samaras, Giorgio Maria Di Nunzio, Nicola Ferro, Stefano Marchesin, Marco Martinelli, Gianmaria Silvello, Georgios Paliouras
2025 — conf
Overview of GutBrainIE@CLEF 2025: Gut-Brain Interplay Information Extraction.
CLEF (Working Notes)
Marco Martinelli, Gianmaria Silvello, Vanessa Bonato, Giorgio Maria Di Nunzio, Nicola Ferro, Ornella Irrera, Stefano Marchesin, Laura Menotti, Federica Vezzani
2025 — ed.
Proceedings of the 15th Italian Information Retrieval Workshop (IIR 2025), Cagliari, Italy, September 3-5, 2025.
IIR
Ludovico Boratto, Allegra De Filippo, Stefano Marchesin, Mirko Marras
2025 J jnl
Provenance-driven nanopublications: representing source lineage and trust networks for multi-source assertions.
Int. J. Digit. Libr.
Laura Menotti, Stefano Marchesin, Fabio Giachelle, Gianmaria Silvello
2025 A conf
Scaling Trust: Veracity-Driven Defect Detection in Entity Search.
CIKM
Ornella Irrera, Stefano Marchesin, Gianmaria Silvello, Omar Alonso
2024 J jnl
An extensible and unifying approach to retrospective clinical data modeling: the BrainTeaser Ontology.
J. Biomed. Semant.
Guglielmo Faggioli, Laura Menotti, Stefano Marchesin, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Marta Gromicho, Umberto Manera, Eleonora Tavazzi, Giorgio Maria Di Nunzio, Gianmaria Silvello, Nicola Ferro
2024 J jnl
Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning.
CoRR
Niccolò Marini, Stefano Marchesin, Lluis Borras Ferris, Simon Püttmann, Marek Wodzinski, Riccardo Fratti, Damian Podareanu, Alessandro Caputo, Svetla Boytcheva, Simona Vatrano, Filippo Fraggetta, Iris Nagtegaal, Gianmaria Silvello, Manfredo Atzori, Henning Müller
2024 — conf
Bootstrapping Gene Expression-Cancer Knowledge Bases with Limited Human Annotations.
SEBD
Stefano Marchesin, Laura Menotti, Fabio Giachelle, Gianmaria Silvello, Omar Alonso
2024 J jnl
Efficient and Reliable Estimation of Knowledge Graph Accuracy.
Proc. VLDB Endow.
Stefano Marchesin, Gianmaria Silvello
2024 — conf
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024.
CLEF (2)
Giovanni Birolo, Pietro Bosoni, Guglielmo Faggioli, Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Alessandro Guazzo, Enrico Longato, Sara C. Madeira, Umberto Manera, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2024 J jnl
MetaTron: advancing biomedical annotation empowering relation annotation and collaboration.
BMC Bioinform.
Ornella Irrera, Stefano Marchesin, Gianmaria Silvello
2024 J jnl
Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning.
Medical Image Anal.
Niccolò Marini, Stefano Marchesin, Marek Wodzinski, Alessandro Caputo, Damian Podareanu, Bryan Cardenas Guevara, Svetla Boytcheva, Simona Vatrano, Filippo Fraggetta, Francesco Ciompi, Gianmaria Silvello, Henning Müller, Manfredo Atzori
2024 — conf
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge.
CLEF (Working Notes)
Giovanni Birolo, Pietro Bosoni, Guglielmo Faggioli, Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Alessandro Guazzo, Enrico Longato, Sara C. Madeira, Umberto Manera, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2024 — conf
Publishing CoreKB Facts as Nanopublications.
IRCDL
Fabio Giachelle, Stefano Marchesin, Laura Menotti, Gianmaria Silvello
2024 A conf
Veracity Estimation for Entity-Oriented Search with Knowledge Graphs.
CIKM
Stefano Marchesin, Gianmaria Silvello, Omar Alonso
2023 J jnl
A systematic review of Automatic Term Extraction: What happened in 2022?
Digit. Scholarsh. Humanit.
Giorgio Maria Di Nunzio, Stefano Marchesin, Gianmaria Silvello
2023 — conf
An Analysis of a Methodology and Experimental Results for the Retrieval of Clinical Trials.
IIR
Giorgio Maria Di Nunzio, Guglielmo Faggioli, Stefano Marchesin
2023 — conf
An Ontology-Driven Knowledge Extraction Tool for Pathology Record Classification.
SEBD
Laura Menotti, Stefano Marchesin, Gianmaria Silvello
2023 J jnl
Building a large gene expression-cancer knowledge base with limited human annotations.
Database J. Biol. Databases Curation
Stefano Marchesin, Laura Menotti, Fabio Giachelle, Gianmaria Silvello, Omar Alonso
2023 — conf
CoreKB: A Web-based Platform for Searching Reliable Facts over a Medical Knowledge Base.
SEBD
Fabio Giachelle, Stefano Marchesin, Gianmaria Silvello, Omar Alonso
2023 — conf
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023.
CLEF
Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2023 B ed.
Linking Theory and Practice of Digital Libraries: 27th International Conference on Theory and Practice of Digital Libraries, TPDL 2023, Zadar, Croatia, September 26-29, 2023, Proceedings
TPDL
Omar Alonso, Helena Cousijn, Gianmaria Silvello, Mónica Marrero, Carla Teixeira Lopes, Stefano Marchesin
2023 — conf
On the Limitations of Query Performance Prediction for Neural IR.
SEBD
Guglielmo Faggioli, Thibault Formal, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, Benjamin Piwowarski
2023 — conf
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.
CLEF (Working Notes)
Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2023 — ed.
Proceedings of the 19th The Conference on Information and Research science Connecting to Digital and Library science, IRCDL 2023, Bari, Italy, February 23-24, 2023.
IRCDL
Alex Falcon, Stefano Ferilli, Alessia Bardi, Stefano Marchesin, Domenico Redavid
2023 — ed.
Proceedings of the 31st Symposium of Advanced Database Systems, Galzingano Terme, Italy, July 2nd to 5th, 2023.
SEBD
Diego Calvanese, Claudia Diamantini, Guglielmo Faggioli, Nicola Ferro, Stefano Marchesin, Gianmaria Silvello, Letizia Tanca
2023 — conf
Query Performance Prediction for Neural IR: Are We There Yet?
ECIR (1)
Guglielmo Faggioli, Thibault Formal, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, Benjamin Piwowarski
2023 J jnl
Query Performance Prediction for Neural IR: Are We There Yet?
CoRR
Guglielmo Faggioli, Thibault Formal, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, Benjamin Piwowarski
2023 — conf
SKET X: A Visual Analytics Tool for Explaining Knowledge Extraction Results.
IIR
Fabio Giachelle, Stefano Marchesin, Gianmaria Silvello
2023 — conf
SKET: an Unsupervised Knowledge Extraction Tool to Empower Digital Pathology Applications.
IRCDL
Giorgio Maria Di Nunzio, Nicola Ferro, Fabio Giachelle, Ornella Irrera, Stefano Marchesin, Gianmaria Silvello
2023 A* conf
Searching for Reliable Facts over a Medical Knowledge Base.
SIGIR
Fabio Giachelle, Stefano Marchesin, Gianmaria Silvello, Omar Alonso
2023 Misc conf
Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities.
ICTIR
Guglielmo Faggioli, Thibault Formal, Simon Lupart, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, Benjamin Piwowarski
2022 — conf
Assessing the Semantic Difficulty of Queries.
IIR
Guglielmo Faggioli, Stefano Marchesin
2022 — conf
Exploiting Curated Databases to Train Relation Extraction Models for Gene-Disease Associations.
SEBD
Stefano Marchesin, Gianmaria Silvello
2022 — conf
Summarize and Expand Queries in Clinical Trials Retrieval. The IIIA Unipd at TREC 2022 Clinical Trials.
TREC
Giorgio Maria Di Nunzio, Guglielmo Faggioli, Stefano Marchesin
2022 J jnl
TBGA: a large-scale Gene-Disease Association dataset for Biomedical Relation Extraction.
BMC Bioinform.
Stefano Marchesin, Gianmaria Silvello
2022 — conf
Terminology Extraction in Electronic Health Records. The ExaMode Project (poster).
MDTT
Giorgio Maria Di Nunzio, Stefano Marchesin, Gianmaria Silvello
2022 J jnl
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations.
npj Digit. Medicine
Niccolò Marini, Stefano Marchesin, Sebastian Otálora, Marek Wodzinski, Alessandro Caputo, Mart van Rijthoven, Witali Aswolinskiy, John-Melle Bokhorst, Damian Podareanu, Edyta Petters, Svetla Boytcheva, Genziana Buttafuoco, Simona Vatrano, Filippo Fraggetta, Jeroen van der Laak, Maristella Agosti, Francesco Ciompi, Gianmaria Silvello, Henning Müller, Manfredo Atzori
2021 J jnl
Developing unsupervised knowledge-enhanced models to reduce the semantic gap in information retrieval.
SIGIR Forum
Stefano Marchesin
2021 — conf
Filter, Transform, Expand, and Fuse The IMS Unipd at TREC 2021 Clinical Trials.
TREC
Giorgio Maria Di Nunzio, Guglielmo Faggioli, Stefano Marchesin
2021 — conf
Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations.
COMPAY@MICCAI
Niccolò Marini, Sebastian Otálora, Francesco Ciompi, Gianmaria Silvello, Stefano Marchesin, Simona Vatrano, Genziana Buttafuoco, Manfredo Atzori, Henning Müller
2021 — ed.
Proceedings of the Second International Conference on Design of Experimental Search & Information REtrieval Systems, Padova, Italy, September 15-18, 2021.
DESIRES
Omar Alonso, Stefano Marchesin, Marc Najork, Gianmaria Silvello
2021 J jnl
Report on the 2nd international conference on design of experimental search & information retrieval systems (DESIRES 2021).
SIGIR Forum
Omar Alonso, Stefano Marchesin, Marc Najork, Gianmaria Silvello
2021 — conf
SAFIR: a Semantic-Aware Neural Framework for IR.
IIR
Maristella Agosti, Stefano Marchesin, Gianmaria Silvello
2021 J jnl
Simple but Effective Knowledge-Based Query Reformulations for Precision Medicine Retrieval.
Inf.
Stefano Marchesin, Giorgio Maria Di Nunzio, Maristella Agosti
2021 — conf
What Makes a Query Semantically Hard?
DESIRES
Guglielmo Faggioli, Stefano Marchesin
2020 — conf
A Post-Analysis of Query Reformulation Methods for Clinical Trials Retrieval.
SEBD
Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin
2020 — conf
A Study on Query Expansion and Rank Fusion for Precision Medicine: The IMS Unipd at TREC 2020 Precision Medicine.
TREC
Giorgio Maria Di Nunzio, Stefano Marchesin
2020 — conf
A Study on Reciprocal Ranking Fusion in Consumer Health Search. IMS UniPD ad CLEF eHealth 2020 Task 2.
CLEF (Working Notes)
Giorgio Maria Di Nunzio, Stefano Marchesin, Federica Vezzani
2020 J jnl
Focal elements of neural information retrieval models. An outlook through a reproducibility study.
Inf. Process. Manag.
Stefano Marchesin, Alberto Purpura, Gianmaria Silvello
2020 J jnl
Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval.
ACM Trans. Inf. Syst.
Maristella Agosti, Stefano Marchesin, Gianmaria Silvello
2020 — conf
Reproducibility of the Neural Vector Space Model via Docker.
IRCDL
Nicola Ferro, Stefano Marchesin, Alberto Purpura, Gianmaria Silvello
2019 — conf
A Docker-Based Replicability Study of a Neural Information Retrieval Model.
OSIRRC@SIGIR
Nicola Ferro, Stefano Marchesin, Alberto Purpura, Gianmaria Silvello
2019 J jnl
A Relation Extraction Approach for Clinical Decision Support.
CoRR
Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin, Gianmaria Silvello
2019 A* conf
An Analysis of Query Reformulation Techniques for Precision Medicine.
SIGIR
Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin
2019 — conf
Exploring how to Combine Query Reformulations for Precision Medicine.
TREC
Giorgio Maria Di Nunzio, Stefano Marchesin, Maristella Agosti
2019 — conf
Knowledge Enhanced Representations for Clinical Decision Support.
IIR
Stefano Marchesin, Maristella Agosti
2019 — conf
Knowledge Enhanced Representations to Reduce the Semantic Gap in Clinical Decision Support.
FDIA@ESSIR
Stefano Marchesin
2019 — conf
Medical Retrieval using Structured Information Extracted from Knowledge Bases.
SEBD
Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin, Gianmaria Silvello
2018 J jnl
A Concept-Centered Hypertext Approach to Case-Based Retrieval.
CoRR
Stefano Marchesin
2018 — conf
A Relation Extraction Approach for Clinical Decision Support.
CIKM Workshops
Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin, Gianmaria Silvello
2018 A* conf
Case-Based Retrieval Using Document-Level Semantic Networks.
SIGIR
Stefano Marchesin
2018 — conf
Implicit-Explicit Representations for Case-Based Retrieval.
DESIRES
Stefano Marchesin
2018 — conf
The University of Padua IMS Research Group at CENTRE@TREC 2018.
TREC
Giorgio Maria Di Nunzio, Stefano Marchesin
2018 — conf
The University of Padua IMS Research Group at TREC 2018 Precision Medicine Track.
TREC
Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin
2018 — conf
Thirty Years of Digital Libraries Research at the University of Padua: The User Side.
IRCDL
Maristella Agosti, Giorgio Maria Di Nunzio, Nicola Ferro, Maria Maistro, Stefano Marchesin, Nicola Orio, Chiara Ponchia, Gianmaria Silvello
2017 — conf
An Adaptive Cross-Site User Modelling Platform for Cultural Heritage Websites.
IRCDL
Maristella Agosti, Séamus Lawless, Stefano Marchesin, Vincent Wade
2017 — conf
Keyword-based access to relational data: To reproduce, or to not reproduce?
SEBD
Alex Badan, Luca Benvegnù, Matteo Biasetton, Giovanni Bonato, Alessandro Brighente, Stefano Marchesin, Alberto Minetto, Leonardo Pellegrina, Alberto Purpura, Riccardo Simionato, Matteo Tessarotto, Andrea Tonon, Nicola Ferro
2017 — conf
Towards Open-Source Shared Implementations of Keyword-Based Access Systems to Relational Data.
EDBT/ICDT Workshops
Alex Badan, Luca Benvegnù, Matteo Biasetton, Giovanni Bonato, Alessandro Brighente, Alberto Cenzato, Piergiorgio Ceron, Giovanni Cogato, Stefano Marchesin, Alberto Minetto, Leonardo Pellegrina, Alberto Purpura, Riccardo Simionato, Nicolò Soleti, Matteo Tessarotto, Andrea Tonon, Federico Vendramin, Nicola Ferro