| 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 | 23 | 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 | 19 | 2019 |
| The University of Padua IMS Research Group at TREC 2018 Precision Medicine Track. M Agosti, GM Di Nunzio, S Marchesin TREC, 2018 | 17 | 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 | 14 | 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 | 10 | 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 | 9 | 2022 |
| Exploring how to Combine Query Reformulations for Precision Medicine. GM Di Nunzio, S Marchesin, M Agosti TREC, 2019 | 9 | 2019 |
| Case-based retrieval using document-level semantic networks S Marchesin The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 6 | 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 | 6 | 2017 |
| What Makes a Query Semantically Hard? G Faggioli, S Marchesin DESIRES, 61-69, 2021 | 5 | 2021 |
| A relation extraction approach for clinical decision support M Agosti, GM Di Nunzio, S Marchesin, G Silvello arXiv preprint arXiv:1905.01257, 2019 | 5 | 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 | 5 | 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 | 5 | 2017 |
| TBGA: a large-scale gene-disease association dataset for biomedical relation extraction S Marchesin, G Silvello BMC bioinformatics 23 (1), 1-16, 2022 | 4 | 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 | 4 | 2020 |
| Medical Retrieval using Structured Information Extracted from Knowledge Bases. M Agosti, GM Di Nunzio, S Marchesin, G Silvello SEBD, 2019 | 4 | 2019 |
| A Post-Analysis of Query Reformulation Methods for Clinical Trials Retrieval. M Agosti, GM Di Nunzio, S Marchesin SEBD, 152-159, 2020 | 3 | 2020 |
| Implicit-Explicit Representations for Case-Based Retrieval. S Marchesin DESIRES, 109, 2018 | 3 | 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 | 3 | 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 | 2 | 2023 |
Gianmaria SilvelloAssociate Professor, University of PaduaEmail verificata su dei.unipd.it
