Theory and practice of data citation G Silvello Journal of the Association for Information Science and Technology 69 (1), 6-20, 2018 | 140 | 2018 |
Algorithmic Fairness Datasets: the Story so Far A Fabris, S Messina, G Silvello, GA Susto Data Mining and Knowledge Discovery 36, 2074–2152, 2022 | 94 | 2022 |
A general linear mixed models approach to study system component effects N Ferro, G Silvello Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016 | 71 | 2016 |
Gender stereotype reinforcement: Measuring the gender bias conveyed by ranking algorithms A Fabris, A Purpura, G Silvello, GA Susto Information Processing & Management 57 (6), 102377, 2020 | 63 | 2020 |
Digital library interoperability at high level of abstraction M Agosti, N Ferro, G Silvello Future Generation Computer Systems 55, 129-146, 2016 | 47 | 2016 |
Toward an anatomy of IR system component performances N Ferro, G Silvello Journal of the Association for Information Science and Technology 69 (2 …, 2018 | 42 | 2018 |
VIRTUE: A visual tool for information retrieval performance evaluation and failure analysis M Angelini, N Ferro, G Santucci, G Silvello Journal of Visual Languages & Computing 25 (4), 394-413, 2014 | 38 | 2014 |
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 | 36 | 2022 |
NESTOR: A formal model for digital archives N Ferro, G Silvello Information Processing & Management 49 (6), 1206-1240, 2013 | 36 | 2013 |
Semantic representation and enrichment of information retrieval experimental data G Silvello, G Bordea, N Ferro, P Buitelaar, T Bogers International journal on digital libraries 18, 145-172, 2017 | 34 | 2017 |
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 |
DIRECTions: design and specification of an IR evaluation infrastructure M Agosti, E Di Buccio, N Ferro, I Masiero, S Peruzzo, G Silvello Information Access Evaluation. Multilinguality, Multimodality, and Visual …, 2012 | 31 | 2012 |
A methodology for citing linked open data subsets G Silvello D-Lib Magazine 21, 2015 | 30 | 2015 |
Combining Lexical and Neural Retrieval with Longformer-based Summarization for Effective Case Law Retrieval. A Askari, S Verberne, O Alonso, S Marchesin, M Najork, G Silvello DESIRES, 162-170, 2021 | 29 | 2021 |
Rank-biased precision reloaded: Reproducibility and generalization N Ferro, G Silvello Advances in Information Retrieval: 37th European Conference on IR Research …, 2015 | 29 | 2015 |
Search text to retrieve graphs: a scalable RDF keyword-based search system D Dosso, G Silvello IEEE Access 8, 14089-14111, 2020 | 26 | 2020 |
A Rule-Based Citation System for Structured and Evolving Datasets. P Buneman, G Silvello IEEE Data Eng. Bull. 33 (3), 33-41, 2010 | 26 | 2010 |
TBGA: a large-scale gene-disease association dataset for biomedical relation extraction S Marchesin, G Silvello BMC bioinformatics 23 (1), 111, 2022 | 25 | 2022 |
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 | 24 | 2021 |