Stefano Marchesin
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Focal elements of neural information retrieval models. An outlook through a reproducibility study
S Marchesin, A Purpura, G Silvello
Information Processing & Management 57 (6), 102109, 2020
An analysis of query reformulation techniques for precision medicine
M Agosti, GM Di Nunzio, S Marchesin
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
The University of Padua IMS Research Group at TREC 2018 Precision Medicine Track.
M Agosti, GM Di Nunzio, S Marchesin
TREC, 2018
Learning unsupervised knowledge-enhanced representations to reduce the semantic gap in information retrieval
M Agosti, S Marchesin, G Silvello
ACM Transactions on Information Systems (TOIS) 38 (4), 1-48, 2020
Multi-scale task multiple instance learning for the classification of digital pathology images with global annotations
N Marini, S Otálora, F Ciompi, G Silvello, S Marchesin, S Vatrano, ...
MICCAI Workshop on Computational Pathology, 170-181, 2021
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations
N Marini, S Marchesin, S Otálora, M Wodzinski, A Caputo, ...
NPJ digital medicine 5 (1), 102, 2022
Exploring how to Combine Query Reformulations for Precision Medicine.
GM Di Nunzio, S Marchesin, M Agosti
TREC, 2019
Case-based retrieval using document-level semantic networks
S Marchesin
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
An adaptive cross-site user modelling platform for cultural heritage websites
M Agosti, S Lawless, S Marchesin, V Wade
Digital Libraries and Archives: 13th Italian Research Conference on Digital …, 2017
What Makes a Query Semantically Hard?
G Faggioli, S Marchesin
DESIRES, 61-69, 2021
A relation extraction approach for clinical decision support
M Agosti, GM Di Nunzio, S Marchesin, G Silvello
arXiv preprint arXiv:1905.01257, 2019
A Docker-Based Replicability Study of a Neural Information Retrieval Model.
N Ferro, S Marchesin, A Purpura, G Silvello
OSIRRC@ SIGIR, 37-43, 2019
Towards Open-Source Shared Implementations of Keyword-Based Access Systems to Relational Data.
A Badan, L Benvegnù, M Biasetton, G Bonato, A Brighente, A Cenzato, ...
EDBT/ICDT Workshops, 2017
TBGA: a large-scale gene-disease association dataset for biomedical relation extraction
S Marchesin, G Silvello
BMC bioinformatics 23 (1), 1-16, 2022
A Study on Reciprocal Ranking Fusion in Consumer Health Search. IMS UniPD ad CLEF eHealth 2020 Task 2.
GM Di Nunzio, S Marchesin, F Vezzani
CLEF (Working Notes), 2020
Medical Retrieval using Structured Information Extracted from Knowledge Bases.
M Agosti, GM Di Nunzio, S Marchesin, G Silvello
SEBD, 2019
A Post-Analysis of Query Reformulation Methods for Clinical Trials Retrieval.
M Agosti, GM Di Nunzio, S Marchesin
SEBD, 152-159, 2020
Implicit-Explicit Representations for Case-Based Retrieval.
S Marchesin
DESIRES, 109, 2018
Keyword-based access to relational data: To reproduce, or to not reproduce?
A Badan, L Benvegnu, M Biasetton, G Bonato, A Brighente, S Marchesin, ...
SEBD, 166, 2017
Query Performance Prediction for Neural IR: Are We There Yet?
G Faggioli, T Formal, S Marchesin, S Clinchant, N Ferro, B Piwowarski
Advances in Information Retrieval: 45th European Conference on Information …, 2023
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