MARCHESIN, STEFANO
MARCHESIN, STEFANO
Dipartimento di Ingegneria dell'Informazione - DEI
Automatic labels are as effective as manual labels in digital pathology images classification with deep learning
2025 Marini, Niccolo; Marchesin, Stefano; Ferris, Lluis Borras; Püttmann, Simon; Wodzinski, Marek; Fratti, Riccardo; Podareanu, Damian; Caputo, Alessandro; Boytcheva, Svetla; Vatrano, Simona; Fraggetta, Filippo; Nagtegaal, Iris; Silvello, Gianmaria; Atzori, Manfredo; Müller, Henning
Credible Intervals for Knowledge Graph Accuracy Estimation
2025 Marchesin, Stefano; Silvello, Gianmaria
Large Language Models and Data Quality for Knowledge Graphs
2025 Marchesin, S.; Silvello, G.; Alonso, O.
An extensible and unifying approach to retrospective clinical data modeling: the BrainTeaser Ontology
2024 Faggioli, Guglielmo; Menotti, Laura; Marchesin, Stefano; Chió, Adriano; Dagliati, Arianna; de Carvalho, Mamede; Gromicho, Marta; Manera, Umberto; Tavazzi, Eleonora; Di Nunzio, Giorgio Maria; Silvello, Gianmaria; Ferro, Nicola
Efficient and Reliable Estimation of Knowledge Graph Accuracy
2024 Marchesin, Stefano; Silvello, Gianmaria
MetaTron: advancing biomedical annotation empowering relation annotation and collaboration
2024 Irrera, Ornella; Marchesin, Stefano; Silvello, Gianmaria
Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning
2024 Marini, Niccolò; Marchesin, Stefano; Wodzinski, Marek; Caputo, Alessandro; Podareanu, Damian; Guevara, Bryan Cardenas; Boytcheva, Svetla; Vatrano, Simona; Fraggetta, Filippo; Ciompi, Francesco; Silvello, Gianmaria; Müller, Henning; Atzori, Manfredo
A systematic review of Automatic Term Extraction: What happened in 2022?
2023 Di Nunzio, G. M.; Marchesin, S.; Silvello, G.
Building a large gene expression-cancer knowledge base with limited human annotations
2023 Marchesin, Stefano; Menotti, Laura; Giachelle, Fabio; Silvello, Gianmaria; Alonso, Omar
Modelling digital health data: The ExaMode ontology for computational pathology
2023 Menotti, Laura; Silvello, Gianmaria; Atzori, Manfredo; Boytcheva, Svetla; Ciompi, Francesco; Di Nunzio, Giorgio Maria; Fraggetta, Filippo; Giachelle, Fabio; Irrera, Ornella; Marchesin, Stefano; Marini, Niccolò; Müller, Henning; Primov, Todor
Empowering digital pathology applications through explainable knowledge extraction tools
2022 Marchesin, S.; Giachelle, F.; Marini, N.; Atzori, M.; Boytcheva, S.; Buttafuoco, G.; Ciompi, F.; Di Nunzio, G. M.; Fraggetta, F.; Irrera, O.; Muller, H.; Primov, T.; Vatrano, S.; Silvello, G.
TBGA: a large-scale Gene-Disease Association dataset for Biomedical Relation Extraction
2022 Marchesin, S.; Silvello, G.
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations
2022 Marini, N.; Marchesin, S.; Otalora, S.; Wodzinski, M.; Caputo, A.; van Rijthoven, M.; Aswolinskiy, W.; Bokhorst, J. -M.; Podareanu, D.; Petters, E.; Boytcheva, S.; Buttafuoco, G.; Vatrano, S.; Fraggetta, F.; van der Laak, J.; Agosti, M.; Ciompi, F.; Silvello, G.; Muller, H.; Atzori, M.
Report on the 2nd International Conference on Design of Experimental Search & Information REtrieval Systems (DESIRES 2021)
2021 Alonso, Omar; Marchesin, Stefano; Najork, Marc; Silvello, Gianmaria
Simple but effective knowledge-based query reformulations for precision medicine retrieval
2021 Marchesin, S.; Di Nunzio, G. M.; Agosti, M.
Focal elements of neural information retrieval models. An outlook through a reproducibility study
2020 Marchesin, S.; Purpura, A.; Silvello, G.
Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval
2020 Agosti, M.; Marchesin, S.; Silvello, G.