Towards Open-Source Shared Implementations of Keyword-Based Access Systems to Relational Data. - Alex Badan; Luca Benvegnù; Matteo Biasetton; Giovanni Bonato; Alessandro Brighente; Alberto Cenzato; Piergiorgio Ceron; Giovanni Cogato; Stefano Marchesin 001; Alberto Minetto; Leonardo Pellegrina; Alberto Purpura; et al. (EDBT/ICDT Workshops, 2017)

An Adaptive Cross-Site User Modelling Platform for Cultural Heritage Websites. - Maristella Agosti; Séamus Lawless; Stefano Marchesin 001; Vincent Wade (IRCDL, 2017)

Keyword-based access to relational data: To reproduce, or to not reproduce? - Alex Badan; Luca Benvegnù; Matteo Biasetton; Giovanni Bonato; Alessandro Brighente; Stefano Marchesin 001; Alberto Minetto; Leonardo Pellegrina; Alberto Purpura; Riccardo Simionato; Matteo Tessarotto; Andrea Tonon; et al. (SEBD, 2017)

A Relation Extraction Approach for Clinical Decision Support. - Maristella Agosti; Giorgio Maria Di Nunzio; Stefano Marchesin 001; Gianmaria Silvello (CIKM Workshops, 2018)

Implicit-Explicit Representations for Case-Based Retrieval. - Stefano Marchesin 001 (DESIRES, 2018)

Thirty Years of Digital Libraries Research at the University of Padua: The User Side. - Maristella Agosti; Giorgio Maria Di Nunzio; Nicola Ferro 001; Maria Maistro; Stefano Marchesin 001; Nicola Orio; Chiara Ponchia; Gianmaria Silvello (IRCDL, 2018)

Case-Based Retrieval Using Document-Level Semantic Networks. - Stefano Marchesin 001 (SIGIR, 2018)

The University of Padua IMS Research Group at TREC 2018 Precision Medicine Track. - Maristella Agosti; Giorgio Maria Di Nunzio; Stefano Marchesin 001 (TREC, 2018)

The University of Padua IMS Research Group at CENTRE@TREC 2018. - Giorgio Maria Di Nunzio; Stefano Marchesin 001 (TREC, 2018)

A Concept-Centered Hypertext Approach to Case-Based Retrieval. - Stefano Marchesin 001 (CoRR, 2018)

Knowledge Enhanced Representations to Reduce the Semantic Gap in Clinical Decision Support. - Stefano Marchesin 001 (FDIA@ESSIR, 2019)

Knowledge Enhanced Representations for Clinical Decision Support. - Stefano Marchesin 001; Maristella Agosti (IIR, 2019)

Medical Retrieval using Structured Information Extracted from Knowledge Bases. - Maristella Agosti; Giorgio Maria Di Nunzio; Stefano Marchesin 001; Gianmaria Silvello (SEBD, 2019)

A Docker-Based Replicability Study of a Neural Information Retrieval Model. - Nicola Ferro 001; Stefano Marchesin 001; Alberto Purpura; Gianmaria Silvello (OSIRRC@SIGIR, 2019)

An Analysis of Query Reformulation Techniques for Precision Medicine. - Maristella Agosti; Giorgio Maria Di Nunzio; Stefano Marchesin 001 (SIGIR, 2019)

Exploring how to Combine Query Reformulations for Precision Medicine. - Giorgio Maria Di Nunzio; Stefano Marchesin 001; Maristella Agosti (TREC, 2019)

A Study on Reciprocal Ranking Fusion in Consumer Health Search. IMS UniPD ad CLEF eHealth 2020 Task 2. - Giorgio Maria Di Nunzio; Stefano Marchesin 001; Federica Vezzani (CLEF (Working Notes), 2020)

Reproducibility of the Neural Vector Space Model via Docker. - Nicola Ferro 001; Stefano Marchesin 001; Alberto Purpura; Gianmaria Silvello (IRCDL, 2020)

A Post-Analysis of Query Reformulation Methods for Clinical Trials Retrieval. - Maristella Agosti; Giorgio Maria Di Nunzio; Stefano Marchesin 001 (SEBD, 2020)

A Study on Query Expansion and Rank Fusion for Precision Medicine: The IMS Unipd at TREC 2020 Precision Medicine. - Giorgio Maria Di Nunzio; Stefano Marchesin 001 (TREC, 2020)

Focal elements of neural information retrieval models. An outlook through a reproducibility study. - Stefano Marchesin 001; Alberto Purpura; Gianmaria Silvello (Inf. Process. Manag., 2020)

Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval. - Maristella Agosti; Stefano Marchesin 001; Gianmaria Silvello (ACM Trans. Inf. Syst., 2020)

Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval (Evaluation datasets). - Maristella Agosti; Stefano Marchesin 001; Gianmaria Silvello (Zenodo, 2020)

Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations. - Niccolò Marini; Sebastian Otálora; Francesco Ciompi; Gianmaria Silvello; Stefano Marchesin 001; Simona Vatrano; Genziana Buttafuoco; Manfredo Atzori; Henning Müller (COMPAY@MICCAI, 2021)

What Makes a Query Semantically Hard? - Guglielmo Faggioli; Stefano Marchesin 001 (DESIRES, 2021)

SAFIR: a Semantic-Aware Neural Framework for IR. - Maristella Agosti; Stefano Marchesin 001; Gianmaria Silvello (IIR, 2021)

Filter, Transform, Expand, and Fuse The IMS Unipd at TREC 2021 Clinical Trials. - Giorgio Maria Di Nunzio; Guglielmo Faggioli; Stefano Marchesin 001 (TREC, 2021)

Simple but Effective Knowledge-Based Query Reformulations for Precision Medicine Retrieval. - Stefano Marchesin 001; Giorgio Maria Di Nunzio; Maristella Agosti (Inf., 2021)

Report on the 2nd international conference on design of experimental search & information retrieval systems (DESIRES 2021). - Omar Alonso; Stefano Marchesin 001; Marc Najork; Gianmaria Silvello (SIGIR Forum, 2021)

Developing unsupervised knowledge-enhanced models to reduce the semantic gap in information retrieval. - Stefano Marchesin 001 (SIGIR Forum, 2021)

Building Large-Scale Gene-Disease Association Datasets for Biomedical Relation Extraction. - Stefano Marchesin 001; Gianmaria Silvello (Zenodo, 2021)

Assessing the Semantic Difficulty of Queries. - Guglielmo Faggioli; Stefano Marchesin 001 (IIR, 2022)

Terminology Extraction in Electronic Health Records. The ExaMode Project (poster). - Giorgio Maria Di Nunzio; Stefano Marchesin 001; Gianmaria Silvello (MDTT, 2022)

Exploiting Curated Databases to Train Relation Extraction Models for Gene-Disease Associations. - Stefano Marchesin 001; Gianmaria Silvello (SEBD, 2022)

Summarize and Expand Queries in Clinical Trials Retrieval. The IIIA Unipd at TREC 2022 Clinical Trials. - Giorgio Maria Di Nunzio; Guglielmo Faggioli; Stefano Marchesin 001 (TREC, 2022)

TBGA: a large-scale Gene-Disease Association dataset for Biomedical Relation Extraction. - Stefano Marchesin 001; Gianmaria Silvello (BMC Bioinform., 2022)

Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations. - Niccolò Marini; Stefano Marchesin 001; Sebastian Otálora; Marek Wodzinski; Alessandro Caputo; Mart van Rijthoven; Witali Aswolinskiy; John-Melle Bokhorst; Damian Podareanu; Edyta Petters; Svetla Boytcheva; Genziana Buttafuoco; et al. (npj Digit. Medicine, 2022)

TBGA: A Large-Scale Gene-Disease Association Dataset for Biomedical Relation Extraction. - Stefano Marchesin 001; Gianmaria Silvello (Zenodo, 2022)

Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. - Guglielmo Faggioli; Alessandro Guazzo; Stefano Marchesin 001; Laura Menotti; Isotta Trescato; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; et al. (CLEF (Working Notes), 2023)

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023. - Guglielmo Faggioli; Alessandro Guazzo; Stefano Marchesin 001; Laura Menotti; Isotta Trescato; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; et al. (CLEF, 2023)

Query Performance Prediction for Neural IR: Are We There Yet? - Guglielmo Faggioli; Thibault Formal; Stefano Marchesin 001; Stéphane Clinchant; Nicola Ferro 001; Benjamin Piwowarski (ECIR (1), 2023)

Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities. - Guglielmo Faggioli; Thibault Formal; Simon Lupart; Stefano Marchesin 001; Stéphane Clinchant; Nicola Ferro 001; Benjamin Piwowarski (ICTIR, 2023)

SKET X: A Visual Analytics Tool for Explaining Knowledge Extraction Results. - Fabio Giachelle; Stefano Marchesin 001; Gianmaria Silvello (IIR, 2023)

An Analysis of a Methodology and Experimental Results for the Retrieval of Clinical Trials. - Giorgio Maria Di Nunzio; Guglielmo Faggioli; Stefano Marchesin 001 (IIR, 2023)

SKET: an Unsupervised Knowledge Extraction Tool to Empower Digital Pathology Applications. - Giorgio Maria Di Nunzio; Nicola Ferro 001; Fabio Giachelle; Ornella Irrera; Stefano Marchesin 001; Gianmaria Silvello (IRCDL, 2023)

On the Limitations of Query Performance Prediction for Neural IR. - Guglielmo Faggioli; Thibault Formal; Stefano Marchesin 001; Stéphane Clinchant; Nicola Ferro 001; Benjamin Piwowarski (SEBD, 2023)

CoreKB: A Web-based Platform for Searching Reliable Facts over a Medical Knowledge Base. - Fabio Giachelle; Stefano Marchesin 001; Gianmaria Silvello; Omar Alonso (SEBD, 2023)

An Ontology-Driven Knowledge Extraction Tool for Pathology Record Classification. - Laura Menotti; Stefano Marchesin 001; Gianmaria Silvello (SEBD, 2023)

Searching for Reliable Facts over a Medical Knowledge Base. - Fabio Giachelle; Stefano Marchesin 001; Gianmaria Silvello; Omar Alonso (SIGIR, 2023)

The ExaMode Ontology (full version, v.2). - Stefano Marchesin 001; Laura Menotti; Gianmaria Silvello (Zenodo, 2023)

BRAINTEASER ALS and MS Datasets. - Guglielmo Faggioli; Alessandro Guazzo; Stefano Marchesin 001; Laura Menotti; Isotta Trescato; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; et al. (Zenodo, 2023)

A systematic review of Automatic Term Extraction: What happened in 2022? - Giorgio Maria Di Nunzio; Stefano Marchesin 001; Gianmaria Silvello (Digit. Scholarsh. Humanit., 2023)

Building a large gene expression-cancer knowledge base with limited human annotations. - Stefano Marchesin 001; Laura Menotti; Fabio Giachelle; Gianmaria Silvello; Omar Alonso (Database J. Biol. Databases Curation, 2023)

iDPP@CLEF 2023 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge. - Guglielmo Faggioli; Alessandro Guazzo; Stefano Marchesin 001; Laura Menotti; Isotta Trescato; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; et al. (Zenodo, 2023)

CORE Nanopublications. - Fabio Giachelle; Stefano Marchesin 001; Laura Menotti; Gianmaria Silvello (Zenodo, 2023)

CORE Extended Nanopublications. - Fabio Giachelle; Stefano Marchesin 001; Laura Menotti; Gianmaria Silvello (Zenodo, 2023)

CoreKB Facts Serialized as Nanopublications. - Fabio Giachelle; Stefano Marchesin 001; Laura Menotti; Gianmaria Silvello (Zenodo, 2023)

Veracity Estimation for Entity-Oriented Search with Knowledge Graphs. - Stefano Marchesin 001; Gianmaria Silvello; Omar Alonso (CIKM, 2024)

Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. - 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; et al. (CLEF (Working Notes), 2024)

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 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; et al. (CLEF (2), 2024)

Publishing CoreKB Facts as Nanopublications. - Fabio Giachelle; Stefano Marchesin 001; Laura Menotti; Gianmaria Silvello (IRCDL, 2024)

Bootstrapping Gene Expression-Cancer Knowledge Bases with Limited Human Annotations. - Stefano Marchesin 001; Laura Menotti; Fabio Giachelle; Gianmaria Silvello; Omar Alonso (SEBD, 2024)

Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning. - Niccolò Marini; Stefano Marchesin 001; Lluis Borras Ferris; Simon Püttmann; Marek Wodzinski; Riccardo Fratti; Damian Podareanu; Alessandro Caputo; Svetla Boytcheva; Simona Vatrano; Filippo Fraggetta; Iris Nagtegaal; et al. (CoRR, 2024)

Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning. - Niccolò Marini; Stefano Marchesin 001; Marek Wodzinski; Alessandro Caputo; Damian Podareanu; Bryan Cardenas Guevara; Svetla Boytcheva; Simona Vatrano; Filippo Fraggetta; Francesco Ciompi; Gianmaria Silvello; Henning Müller; et al. (Medical Image Anal., 2024)

Efficient and Reliable Estimation of Knowledge Graph Accuracy. - Stefano Marchesin 001; Gianmaria Silvello (Proc. VLDB Endow., 2024)

BRAINTEASER ALS and MS Datasets. - Guglielmo Faggioli; Stefano Marchesin 001; Laura Menotti; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Pietro Bosoni; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; Giorgio Maria Di Nunzio; et al. (Zenodo, 2024)

iDPP@CLEF 2024 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge. - 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; et al. (Zenodo, 2024)

An extensible and unifying approach to retrospective clinical data modeling: the BrainTeaser Ontology. - Guglielmo Faggioli; Laura Menotti; Stefano Marchesin 001; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; Marta Gromicho; Umberto Manera; Eleonora Tavazzi; Giorgio Maria Di Nunzio; Gianmaria Silvello; Nicola Ferro 001 (J. Biomed. Semant., 2024)

MetaTron: advancing biomedical annotation empowering relation annotation and collaboration. - Ornella Irrera; Stefano Marchesin 001; Gianmaria Silvello (BMC Bioinform., 2024)

Overview of BioASQ 2025: The Thirteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering. - 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; et al. (CLEF, 2025)

BioASQ at CLEF2025: The Thirteenth Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge. - 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; et al. (ECIR (5), 2025)

Extending Nanopublications with Knowledge Provenance for Multi-Source Scientific Assertions. - Fabio Giachelle; Stefano Marchesin 001; Laura Menotti; Gianmaria Silvello (IRCDL, 2025)

Doctron: A Web-based Collaborative Annotation Tool for Ground Truth Creation in IR. - Ornella Irrera; Stefano Marchesin 001; Farzad Shami; Gianmaria Silvello (SIGIR, 2025)

Fact Verification in Knowledge Graphs Using LLMs. - Farzad Shami; Stefano Marchesin 001; Gianmaria Silvello (SIGIR, 2025)

Large Language Models and Data Quality for Knowledge Graphs. - Stefano Marchesin 001; Gianmaria Silvello; Omar Alonso (Inf. Process. Manag., 2025)

BRAINTEASER ALS and MS Datasets. - Guglielmo Faggioli; Stefano Marchesin 001; Laura Menotti; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Pietro Bosoni; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; Giorgio Maria Di Nunzio; et al. (Zenodo, 2025)

Credible Intervals for Knowledge Graph Accuracy Estimation. - Stefano Marchesin 001; Gianmaria Silvello (Proc. ACM Manag. Data, 2025)