Stefano Marchesin

Omar Alonso

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

CoreKB Facts Serialized as Nanopublications.

[BibT_eX]

[DOI]

Dataset, December, 2023

CORE Extended Nanopublications.

[BibT_eX]

[DOI]

Dataset, December, 2023

CORE Nanopublications.

[BibT_eX]

[DOI]

Dataset, December, 2023

iDPP@CLEF 2023 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge.

[BibT_eX]

[DOI]

Dataset, November, 2023

Building a large gene expression-cancer knowledge base with limited human annotations.

[BibT_eX]

[DOI]

Database J. Biol. Databases Curation, September, 2023

A systematic review of Automatic Term Extraction: What happened in 2022?

[BibT_eX]

[DOI]

Digit. Scholarsh. Humanit., June, 2023

The ExaMode Ontology (full version, v.2).

[BibT_eX]

[DOI]

Laura Menotti

Dataset, February, 2023

Searching for Reliable Facts over a Medical Knowledge Base.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

An Ontology-Driven Knowledge Extraction Tool for Pathology Record Classification.

[BibT_eX]

[DOI]

Laura Menotti

Proceedings of the 31st Symposium of Advanced Database Systems, 2023

CoreKB: A Web-based Platform for Searching Reliable Facts over a Medical Knowledge Base.

[BibT_eX]

[DOI]

Proceedings of the 31st Symposium of Advanced Database Systems, 2023

On the Limitations of Query Performance Prediction for Neural IR.

[BibT_eX]

[DOI]

Proceedings of the 31st Symposium of Advanced Database Systems, 2023

SKET: an Unsupervised Knowledge Extraction Tool to Empower Digital Pathology Applications.

[BibT_eX]

[DOI]

Proceedings of the 19th The Conference on Information and Research science Connecting to Digital and Library science, 2023

An Analysis of a Methodology and Experimental Results for the Retrieval of Clinical Trials.

[BibT_eX]

[DOI]

Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023

SKET X: A Visual Analytics Tool for Explaining Knowledge Extraction Results.

[BibT_eX]

[DOI]

Fabio Giachelle

Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023

Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities.

[BibT_eX]

[DOI]

Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, 2023

Query Performance Prediction for Neural IR: Are We There Yet?

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2023

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023.

[BibT_eX]

[DOI]

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022

TBGA: A Large-Scale Gene-Disease Association Dataset for Biomedical Relation Extraction.

[BibT_eX]

[DOI]

Dataset, January, 2022

Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2022

TBGA: a large-scale Gene-Disease Association dataset for Biomedical Relation Extraction.

[BibT_eX]

[DOI]

BMC Bioinform., 2022

Summarize and Expand Queries in Clinical Trials Retrieval. The IIIA Unipd at TREC 2022 Clinical Trials.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First Text REtrieval Conference, 2022

Exploiting Curated Databases to Train Relation Extraction Models for Gene-Disease Associations.

[BibT_eX]

[DOI]

Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

Terminology Extraction in Electronic Health Records. The ExaMode Project (poster).

[BibT_eX]

[DOI]

Proceedings of the 1st International Conference on Multilingual Digital Terminology Today, 2022

Assessing the Semantic Difficulty of Queries.

[BibT_eX]

[DOI]

Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

2021

Building Large-Scale Gene-Disease Association Datasets for Biomedical Relation Extraction.

[BibT_eX]

[DOI]

Dataset, July, 2021

Developing unsupervised knowledge-enhanced models to reduce the semantic gap in information retrieval.

[BibT_eX]

[DOI]

SIGIR Forum, 2021

Report on the 2nd international conference on design of experimental search & information retrieval systems (DESIRES 2021).

[BibT_eX]

[DOI]

SIGIR Forum, 2021

Simple but Effective Knowledge-Based Query Reformulations for Precision Medicine Retrieval.

[BibT_eX]

[DOI]

Inf., 2021

Filter, Transform, Expand, and Fuse The IMS Unipd at TREC 2021 Clinical Trials.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth Text REtrieval Conference, 2021

SAFIR: a Semantic-Aware Neural Framework for IR.

[BibT_eX]

[DOI]

Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

What Makes a Query Semantically Hard?

[BibT_eX]

[DOI]

Proceedings of the Second International Conference on Design of Experimental Search & Information REtrieval Systems, 2021

Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations.

[BibT_eX]

[DOI]

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

2020

Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval (Evaluation datasets).

[BibT_eX]

[DOI]

Dataset, June, 2020

Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2020

Focal elements of neural information retrieval models. An outlook through a reproducibility study.

[BibT_eX]

[DOI]

Alberto Purpura

Inf. Process. Manag., 2020

A Study on Query Expansion and Rank Fusion for Precision Medicine: The IMS Unipd at TREC 2020 Precision Medicine.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

A Post-Analysis of Query Reformulation Methods for Clinical Trials Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 28th Italian Symposium on Advanced Database Systems, 2020

Reproducibility of the Neural Vector Space Model via Docker.

[BibT_eX]

[DOI]

Proceedings of the Digital Libraries: The Era of Big Data and Data Science, 2020

A Study on Reciprocal Ranking Fusion in Consumer Health Search. IMS UniPD ad CLEF eHealth 2020 Task 2.

[BibT_eX]

[DOI]

Federica Vezzani

Proceedings of the Working Notes of CLEF 2020, 2020

2019

Exploring how to Combine Query Reformulations for Precision Medicine.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

An Analysis of Query Reformulation Techniques for Precision Medicine.

[BibT_eX]

[DOI]

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

A Docker-Based Replicability Study of a Neural Information Retrieval Model.

[BibT_eX]

[DOI]

Proceedings of the Open-Source IR Replicability Challenge co-located with 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Medical Retrieval using Structured Information Extracted from Knowledge Bases.

[BibT_eX]

[DOI]

Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

Knowledge Enhanced Representations for Clinical Decision Support.

[BibT_eX]

[DOI]

Proceedings of the 10th Italian Information Retrieval Workshop, 2019

Knowledge Enhanced Representations to Reduce the Semantic Gap in Clinical Decision Support.

[BibT_eX]

[DOI]

Proceedings of the 9th PhD Symposium on Future Directions in Information Access co-located with 12th European Summer School in Information Retrieval (ESSIR 2019), Milan, Italy, July 17th - to, 2019

2018

A Concept-Centered Hypertext Approach to Case-Based Retrieval.

[BibT_eX]

[DOI]

CoRR, 2018

The University of Padua IMS Research Group at CENTRE@TREC 2018.

[BibT_eX]

[DOI]