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ORCIDStefano Marchesin 0001
Person information
- affiliation: University of Padua, Italy
Other persons with the same name
- Stefano Marchesin 0002 — Università della Svizzera Italiana, Lugano, Switzerland
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2020 – today
- 2024
[j13]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): 16 (2024)- [j12]Ornella Irrera, Stefano Marchesin, Gianmaria Silvello:
MetaTron: advancing biomedical annotation empowering relation annotation and collaboration. BMC Bioinform. 25(1): 112 (2024) - [j11]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:
Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning. Medical Image Anal. 97: 103303 (2024) - [j10]Stefano Marchesin, Gianmaria Silvello:
Efficient and Reliable Estimation of Knowledge Graph Accuracy. Proc. VLDB Endow. 17(9): 2392-2404 (2024) - [c43]Stefano Marchesin, Gianmaria Silvello, Omar Alonso:
Veracity Estimation for Entity-Oriented Search with Knowledge Graphs. CIKM 2024: 1649-1659 - [c42]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:
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024. CLEF (2) 2024: 118-139 - [c41]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: 1312-1331 - [c40]Fabio Giachelle, Stefano Marchesin, Laura Menotti, Gianmaria Silvello:
Publishing CoreKB Facts as Nanopublications. IRCDL 2024: 16-24 - [c39]Stefano Marchesin, Laura Menotti, Fabio Giachelle, Gianmaria Silvello, Omar Alonso:
Bootstrapping Gene Expression-Cancer Knowledge Bases with Limited Human Annotations. SEBD 2024: 163-173 - [i4]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 abs/2406.14351 (2024) - 2023
- [j9]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) - [j8]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): 41-47 (2023) - [c38]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: 343-369 - [c37]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: 1123-1164 - [c36]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: 232-248 - [c35]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: 51-63 - [c34]Giorgio Maria Di Nunzio, Guglielmo Faggioli, Stefano Marchesin:
An Analysis of a Methodology and Experimental Results for the Retrieval of Clinical Trials. IIR 2023: 53-57 - [c33]Fabio Giachelle, Stefano Marchesin, Gianmaria Silvello:
SKET X: A Visual Analytics Tool for Explaining Knowledge Extraction Results. IIR 2023: 119-124 - [c32]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: 144-152 - [c31]Fabio Giachelle, Stefano Marchesin, Gianmaria Silvello, Omar Alonso:
CoreKB: A Web-based Platform for Searching Reliable Facts over a Medical Knowledge Base. SEBD 2023: 200-209 - [c30]Laura Menotti, Stefano Marchesin, Gianmaria Silvello:
An Ontology-Driven Knowledge Extraction Tool for Pathology Record Classification. SEBD 2023: 228-238 - [c29]Guglielmo Faggioli, Thibault Formal, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, Benjamin Piwowarski:
On the Limitations of Query Performance Prediction for Neural IR. SEBD 2023: 379-390 - [c28]Fabio Giachelle, Stefano Marchesin, Gianmaria Silvello, Omar Alonso:
Searching for Reliable Facts over a Medical Knowledge Base. SIGIR 2023: 3205-3209 - [e4]Omar Alonso, Helena Cousijn, Gianmaria Silvello, Mónica Marrero, Carla Teixeira Lopes, Stefano Marchesin:
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. Lecture Notes in Computer Science 14241, Springer 2023, ISBN 978-3-031-43849-3 [contents] - [e3]Alex Falcon, Stefano Ferilli, Alessia Bardi, Stefano Marchesin, Domenico Redavid:
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. CEUR Workshop Proceedings 3365, CEUR-WS.org 2023 [contents] - [e2]Diego Calvanese, Claudia Diamantini, Guglielmo Faggioli, Nicola Ferro, Stefano Marchesin, Gianmaria Silvello, Letizia Tanca:
Proceedings of the 31st Symposium of Advanced Database Systems, Galzingano Terme, Italy, July 2nd to 5th, 2023. CEUR Workshop Proceedings 3478, CEUR-WS.org 2023 [contents] - [d6]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:
iDPP@CLEF 2023 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge. Zenodo, 2023
- [d5]Fabio Giachelle, Stefano Marchesin, Laura Menotti, Gianmaria Silvello:
CORE Nanopublications. Zenodo, 2023 - [d4]Stefano Marchesin, Laura Menotti, Gianmaria Silvello:
The ExaMode Ontology (full version, v.2). Zenodo, 2023 - [i3]Guglielmo Faggioli, Thibault Formal, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, Benjamin Piwowarski:
Query Performance Prediction for Neural IR: Are We There Yet? CoRR abs/2302.09947 (2023) - 2022
- [j7]Stefano Marchesin, Gianmaria Silvello:
TBGA: a large-scale Gene-Disease Association dataset for Biomedical Relation Extraction. BMC Bioinform. 23(1): 111 (2022) - [j6]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) - [c27]Guglielmo Faggioli, Stefano Marchesin:
Assessing the Semantic Difficulty of Queries. IIR 2022 - [c26]Giorgio Maria Di Nunzio, Stefano Marchesin, Gianmaria Silvello:
Terminology Extraction in Electronic Health Records. The ExaMode Project (poster). MDTT 2022 - [c25]Stefano Marchesin, Gianmaria Silvello:
Exploiting Curated Databases to Train Relation Extraction Models for Gene-Disease Associations. SEBD 2022: 133-140 - [c24]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 - [d3]Stefano Marchesin, Gianmaria Silvello:
TBGA: A Large-Scale Gene-Disease Association Dataset for Biomedical Relation Extraction. Zenodo, 2022 - 2021
- [j5]Stefano Marchesin, Giorgio Maria Di Nunzio, Maristella Agosti:
Simple but Effective Knowledge-Based Query Reformulations for Precision Medicine Retrieval. Inf. 12(10): 402 (2021) - [j4]Stefano Marchesin:
Developing unsupervised knowledge-enhanced models to reduce the semantic gap in information retrieval. SIGIR Forum 55(1): 18:1-18:2 (2021) - [j3]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): 14:1-14:13 (2021) - [c23]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: 170-181 - [c22]Guglielmo Faggioli, Stefano Marchesin:
What Makes a Query Semantically Hard? DESIRES 2021: 61-69 - [c21]Maristella Agosti, Stefano Marchesin, Gianmaria Silvello:
SAFIR: a Semantic-Aware Neural Framework for IR. IIR 2021 - [c20]Giorgio Maria Di Nunzio, Guglielmo Faggioli, Stefano Marchesin:
Filter, Transform, Expand, and Fuse The IMS Unipd at TREC 2021 Clinical Trials. TREC 2021 - [e1]Omar Alonso, Stefano Marchesin, Marc Najork, Gianmaria Silvello:
Proceedings of the Second International Conference on Design of Experimental Search & Information REtrieval Systems, Padova, Italy, September 15-18, 2021. CEUR Workshop Proceedings 2950, CEUR-WS.org 2021 [contents] - [d2]Stefano Marchesin, Gianmaria Silvello:
Building Large-Scale Gene-Disease Association Datasets for Biomedical Relation Extraction. Zenodo, 2021 - 2020
- [j2]Stefano Marchesin, Alberto Purpura, Gianmaria Silvello:
Focal elements of neural information retrieval models. An outlook through a reproducibility study. Inf. Process. Manag. 57(6): 102109 (2020) - [j1]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): 38:1-38:48 (2020) - [c19]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 - [c18]Nicola Ferro, Stefano Marchesin, Alberto Purpura, Gianmaria Silvello:
Reproducibility of the Neural Vector Space Model via Docker. IRCDL 2020: 3-8 - [c17]Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin:
A Post-Analysis of Query Reformulation Methods for Clinical Trials Retrieval. SEBD 2020: 152-159 - [c16]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 - [d1]Maristella Agosti, Stefano Marchesin, Gianmaria Silvello:
Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval (Evaluation datasets). Zenodo, 2020
2010 – 2019
- 2019
- [c15]Stefano Marchesin:
Knowledge Enhanced Representations to Reduce the Semantic Gap in Clinical Decision Support. FDIA@ESSIR 2019: 4-9 - [c14]Stefano Marchesin, Maristella Agosti:
Knowledge Enhanced Representations for Clinical Decision Support. IIR 2019: 17-18 - [c13]Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin, Gianmaria Silvello:
Medical Retrieval using Structured Information Extracted from Knowledge Bases. SEBD 2019 - [c12]Nicola Ferro, Stefano Marchesin, Alberto Purpura, Gianmaria Silvello:
A Docker-Based Replicability Study of a Neural Information Retrieval Model. OSIRRC@SIGIR 2019: 37-43 - [c11]Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin:
An Analysis of Query Reformulation Techniques for Precision Medicine. SIGIR 2019: 973-976 - [c10]Giorgio Maria Di Nunzio, Stefano Marchesin, Maristella Agosti:
Exploring how to Combine Query Reformulations for Precision Medicine. TREC 2019 - [i2]Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin, Gianmaria Silvello:
A Relation Extraction Approach for Clinical Decision Support. CoRR abs/1905.01257 (2019) - 2018
- [c9]Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin, Gianmaria Silvello:
A Relation Extraction Approach for Clinical Decision Support. CIKM Workshops 2018 - [c8]Stefano Marchesin:
Implicit-Explicit Representations for Case-Based Retrieval. DESIRES 2018: 109 - [c7]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: 42-54 - [c6]Stefano Marchesin:
Case-Based Retrieval Using Document-Level Semantic Networks. SIGIR 2018: 1451 - [c5]Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin:
The University of Padua IMS Research Group at TREC 2018 Precision Medicine Track. TREC 2018 - [c4]Giorgio Maria Di Nunzio, Stefano Marchesin:
The University of Padua IMS Research Group at CENTRE@TREC 2018. TREC 2018 - [i1]Stefano Marchesin:
A Concept-Centered Hypertext Approach to Case-Based Retrieval. CoRR abs/1811.11133 (2018) - 2017
- [c3]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 - [c2]Maristella Agosti, Séamus Lawless, Stefano Marchesin, Vincent Wade:
An Adaptive Cross-Site User Modelling Platform for Cultural Heritage Websites. IRCDL 2017: 132-141 - [c1]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: 166
Coauthor Index
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