Stefano Marchesin

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 57

Top Topics

Disease Progression

Clinical Trials

Query Performance Prediction

Information Retrieval

Top Venues

Publications

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
Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning. CoRR (2024)
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
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) (2024)
Fabio Giachelle, Stefano Marchesin, Laura Menotti, Gianmaria Silvello
Publishing CoreKB Facts as Nanopublications. IRCDL (2024)
Ornella Irrera, Stefano Marchesin, Gianmaria Silvello
MetaTron: advancing biomedical annotation empowering relation annotation and collaboration. BMC Bioinform. 25 (1) (2024)
Stefano Marchesin, Gianmaria Silvello
Efficient and Reliable Estimation of Knowledge Graph Accuracy. Proc. VLDB Endow. 17 (9) (2024)
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
An extensible and unifying approach to retrospective clinical data modeling: the BrainTeaser Ontology. J. Biomed. Semant. 15 (1) (2024)
Stefano Marchesin, Laura Menotti, Fabio Giachelle, Gianmaria Silvello, Omar Alonso
Bootstrapping Gene Expression-Cancer Knowledge Bases with Limited Human Annotations. SEBD (2024)
Fabio Giachelle, Stefano Marchesin, Gianmaria Silvello, Omar Alonso
CoreKB: A Web-based Platform for Searching Reliable Facts over a Medical Knowledge Base. SEBD (2023)
Fabio Giachelle, Stefano Marchesin, Gianmaria Silvello
SKET X: A Visual Analytics Tool for Explaining Knowledge Extraction Results. IIR (2023)
Giorgio Maria Di Nunzio, Guglielmo Faggioli, Stefano Marchesin
An Analysis of a Methodology and Experimental Results for the Retrieval of Clinical Trials. IIR (2023)
Fabio Giachelle, Stefano Marchesin, Gianmaria Silvello, Omar Alonso
Searching for Reliable Facts over a Medical Knowledge Base. SIGIR (2023)
Guglielmo Faggioli, Thibault Formal, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, Benjamin Piwowarski
Query Performance Prediction for Neural IR: Are We There Yet? CoRR (2023)
Giorgio Maria Di Nunzio, Nicola Ferro, Fabio Giachelle, Ornella Irrera, Stefano Marchesin, Gianmaria Silvello
SKET: an Unsupervised Knowledge Extraction Tool to Empower Digital Pathology Applications. IRCDL (2023)
Laura Menotti, Stefano Marchesin, Gianmaria Silvello
An Ontology-Driven Knowledge Extraction Tool for Pathology Record Classification. SEBD (2023)
Guglielmo Faggioli, Thibault Formal, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, Benjamin Piwowarski
On the Limitations of Query Performance Prediction for Neural IR. SEBD (2023)
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
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) (2023)
Guglielmo Faggioli, Thibault Formal, Simon Lupart, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, Benjamin Piwowarski
Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities. ICTIR (2023)
Giorgio Maria Di Nunzio, Stefano Marchesin, Gianmaria Silvello
A systematic review of Automatic Term Extraction: What happened in 2022? Digit. Scholarsh. Humanit. 38 (Supplement_1) (2023)
Stefano Marchesin, Laura Menotti, Fabio Giachelle, Gianmaria Silvello, Omar Alonso
Building a large gene expression-cancer knowledge base with limited human annotations. Database J. Biol. Databases Curation 2023 (2023)
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
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023. CLEF (2023)
Guglielmo Faggioli, Thibault Formal, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, Benjamin Piwowarski
Query Performance Prediction for Neural IR: Are We There Yet? ECIR (1) (2023)
Stefano Marchesin, Gianmaria Silvello
TBGA: a large-scale Gene-Disease Association dataset for Biomedical Relation Extraction. BMC Bioinform. 23 (1) (2022)
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
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations. npj Digit. Medicine 5 (2022)
Guglielmo Faggioli, Stefano Marchesin
Assessing the Semantic Difficulty of Queries. IIR (2022)
Stefano Marchesin, Gianmaria Silvello
Exploiting Curated Databases to Train Relation Extraction Models for Gene-Disease Associations. SEBD (2022)
Giorgio Maria Di Nunzio, Stefano Marchesin, Gianmaria Silvello
Terminology Extraction in Electronic Health Records. The ExaMode Project (poster). MDTT (2022)
Giorgio Maria Di Nunzio, Guglielmo Faggioli, Stefano Marchesin
Summarize and Expand Queries in Clinical Trials Retrieval. The IIIA Unipd at TREC 2022 Clinical Trials. TREC (2022)
Guglielmo Faggioli, Stefano Marchesin
What Makes a Query Semantically Hard? DESIRES (2021)
Niccolò Marini, Sebastian Otálora, Francesco Ciompi, Gianmaria Silvello, Stefano Marchesin, Simona Vatrano, Genziana Buttafuoco, Manfredo Atzori, Henning Müller
Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations. COMPAY@MICCAI (2021)
Maristella Agosti, Stefano Marchesin, Gianmaria Silvello
SAFIR: a Semantic-Aware Neural Framework for IR. IIR (2021)
Giorgio Maria Di Nunzio, Guglielmo Faggioli, Stefano Marchesin
Filter, Transform, Expand, and Fuse The IMS Unipd at TREC 2021 Clinical Trials. TREC (2021)
Omar Alonso, Stefano Marchesin, Marc Najork, Gianmaria Silvello
Report on the 2nd international conference on design of experimental search & information retrieval systems (DESIRES 2021). SIGIR Forum 55 (2) (2021)
Stefano Marchesin, Giorgio Maria Di Nunzio, Maristella Agosti
Simple but Effective Knowledge-Based Query Reformulations for Precision Medicine Retrieval. Inf. 12 (10) (2021)
Stefano Marchesin
Developing unsupervised knowledge-enhanced models to reduce the semantic gap in information retrieval. SIGIR Forum 55 (1) (2021)
Maristella Agosti, Stefano Marchesin, Gianmaria Silvello
Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval. ACM Trans. Inf. Syst. 38 (4) (2020)
Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin
A Post-Analysis of Query Reformulation Methods for Clinical Trials Retrieval. SEBD (2020)
Giorgio Maria Di Nunzio, Stefano Marchesin, Federica Vezzani
A Study on Reciprocal Ranking Fusion in Consumer Health Search. IMS UniPD ad CLEF eHealth 2020 Task 2. CLEF (Working Notes) (2020)
Giorgio Maria Di Nunzio, Stefano Marchesin
A Study on Query Expansion and Rank Fusion for Precision Medicine: The IMS Unipd at TREC 2020 Precision Medicine. TREC (2020)
Stefano Marchesin, Alberto Purpura, Gianmaria Silvello
Focal elements of neural information retrieval models. An outlook through a reproducibility study. Inf. Process. Manag. 57 (6) (2020)
Nicola Ferro, Stefano Marchesin, Alberto Purpura, Gianmaria Silvello
Reproducibility of the Neural Vector Space Model via Docker. IRCDL (2020)
Giorgio Maria Di Nunzio, Stefano Marchesin, Maristella Agosti
Exploring how to Combine Query Reformulations for Precision Medicine. TREC (2019)
Stefano Marchesin
Knowledge Enhanced Representations to Reduce the Semantic Gap in Clinical Decision Support. FDIA@ESSIR (2019)
Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin, Gianmaria Silvello
Medical Retrieval using Structured Information Extracted from Knowledge Bases. SEBD (2019)
Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin
An Analysis of Query Reformulation Techniques for Precision Medicine. SIGIR (2019)
Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin, Gianmaria Silvello
A Relation Extraction Approach for Clinical Decision Support. CoRR (2019)
Nicola Ferro, Stefano Marchesin, Alberto Purpura, Gianmaria Silvello
A Docker-Based Replicability Study of a Neural Information Retrieval Model. OSIRRC@SIGIR (2019)
Stefano Marchesin, Maristella Agosti
Knowledge Enhanced Representations for Clinical Decision Support. IIR (2019)
Stefano Marchesin
A Concept-Centered Hypertext Approach to Case-Based Retrieval. CoRR (2018)
Stefano Marchesin
Case-Based Retrieval Using Document-Level Semantic Networks. SIGIR (2018)
Stefano Marchesin
Implicit-Explicit Representations for Case-Based Retrieval. DESIRES (2018)
Maristella Agosti, Giorgio Maria Di Nunzio, Nicola Ferro, Maria Maistro, Stefano Marchesin, Nicola Orio, Chiara Ponchia, Gianmaria Silvello
Thirty Years of Digital Libraries Research at the University of Padua: The User Side. IRCDL (2018)
Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin, Gianmaria Silvello
A Relation Extraction Approach for Clinical Decision Support. CIKM Workshops (2018)
Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin
The University of Padua IMS Research Group at TREC 2018 Precision Medicine Track. TREC (2018)
Giorgio Maria Di Nunzio, Stefano Marchesin
The University of Padua IMS Research Group at CENTRE@TREC 2018. TREC (2018)
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
Towards Open-Source Shared Implementations of Keyword-Based Access Systems to Relational Data. EDBT/ICDT Workshops (2017)
Maristella Agosti, Séamus Lawless, Stefano Marchesin, Vincent Wade
An Adaptive Cross-Site User Modelling Platform for Cultural Heritage Websites. IRCDL (2017)
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
Keyword-based access to relational data: To reproduce, or to not reproduce? SEBD (2017)