| 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 | 35 | 2022 |
| 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 | 33 | 2020 |
| 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 | 32 | 2020 |
| TBGA: a large-scale gene-disease association dataset for biomedical relation extraction S Marchesin, G Silvello BMC bioinformatics 23 (1), 111, 2022 | 24 | 2022 |
| 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 | 24 | 2019 |
| 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 | 23 | 2021 |
| 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 | 20 | 2023 |
| 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 | 18 | 2018 |
| 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 | 17 | 2022 |
| 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 | 16 | 2023 |
| Exploring how to Combine Query Reformulations for Precision Medicine. GM Di Nunzio, S Marchesin, M Agosti TREC, 2019 | 12 | 2019 |
| What makes a query semantically hard? G Faggioli, S Marchesin CEUR WORKSHOP PROCEEDINGS 2950, 61-69, 2021 | 9 | 2021 |
| Case-based retrieval using document-level semantic networks S Marchesin The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 8 | 2018 |
| 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 | 7 | 2023 |
| 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 | 7 | 2019 |
| A relation extraction approach for clinical decision support M Agosti, GM Di Nunzio, S Marchesin, G Silvello arXiv preprint arXiv:1905.01257, 2019 | 7 | 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 | 7 | 2017 |
| 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 | 6 | 2023 |
| A Post-Analysis of Query Reformulation Methods for Clinical Trials Retrieval. M Agosti, GM Di Nunzio, S Marchesin SEBD, 152-159, 2020 | 6 | 2020 |
| Building a large gene expression-cancer knowledge base with limited human annotations S Marchesin, L Menotti, F Giachelle, G Silvello, O Alonso Database 2023, baad061, 2023 | 5 | 2023 |
Gianmaria SilvelloAssociate Professor, University of Padua在 dei.unipd.it 的电子邮件经过验证
