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Stefano Marchesin
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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
322022
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
322020
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
322020
TBGA: a large-scale gene-disease association dataset for biomedical relation extraction
S Marchesin, G Silvello
BMC bioinformatics 23 (1), 111, 2022
242022
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
232019
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
212021
The university of padua ims research group at trec 2018 precision medicine track
M Agosti, G DI NUNZIO, S Marchesin
Proceedings of the Twenty-Seventh Text REtrieval Conference, TREC 2018, 2018
182018
Query Performance Prediction for Neural IR: Are We There Yet?
G Faggioli, T Formal, S Marchesin, S Clinchant, N Ferro, B Piwowarski
European Conference on Information Retrieval, 232-248, 2023
172023
Overview of iDPP@ CLEF 2023: the intelligent disease progression prediction challenge
G Faggioli, A Guazzo, S Marchesin, L Menotti, I Trescato, A Helena, ...
CEUR WORKSHOP PROCEEDINGS 3497, 1123-1164, 2023
152023
Empowering digital pathology applications through explainable knowledge extraction tools
S Marchesin, F Giachelle, N Marini, M Atzori, S Boytcheva, G Buttafuoco, ...
Journal of pathology informatics 13, 100139, 2022
152022
Exploring how to Combine Query Reformulations for Precision Medicine.
GM Di Nunzio, S Marchesin, M Agosti
TREC, 2019
122019
What makes a query semantically hard?
G Faggioli, S Marchesin
CEUR WORKSHOP PROCEEDINGS 2950, 61-69, 2021
82021
Case-based retrieval using document-level semantic networks
S Marchesin
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
82018
Searching for reliable facts over a medical knowledge base
F Giachelle, S Marchesin, G Silvello, O Alonso
Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023
72023
A Docker-Based Replicability Study of a Neural Information Retrieval Model.
N Ferro, S Marchesin, A Purpura, G Silvello
OSIRRC@ SIGIR 2409, 37-43, 2019
72019
A relation extraction approach for clinical decision support
M Agosti, GM Di Nunzio, S Marchesin, G Silvello
arXiv preprint arXiv:1905.01257, 2019
72019
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
72017
Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities
G Faggioli, T Formal, S Lupart, S Marchesin, S Clinchant, N Ferro, ...
Proceedings of the 2023 ACM SIGIR International Conference on Theory of …, 2023
62023
A Post-Analysis of Query Reformulation Methods for Clinical Trials Retrieval.
M Agosti, GM Di Nunzio, S Marchesin
SEBD, 152-159, 2020
62020
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
52017
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학술자료 1–20