Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Firmani Donatella"'
Autor:
Teofili, Tommaso, Firmani, Donatella, Koudas, Nick, Martello, Vincenzo, Merialdo, Paolo, Srivastava, Divesh
Entity resolution (ER) aims at matching records that refer to the same real-world entity. Although widely studied for the last 50 years, ER still represents a challenging data management problem, and several recent works have started to investigate t
Externí odkaz:
http://arxiv.org/abs/2203.12978
Autor:
Crescenzi, Valter, De Angelis, Andrea, Firmani, Donatella, Mazzei, Maurizio, Merialdo, Paolo, Piai, Federico, Srivastava, Divesh
Data integration is a long-standing interest of the data management community and has many disparate applications, including business, science and government. We have recently witnessed impressive results in specific data integration tasks, such as E
Externí odkaz:
http://arxiv.org/abs/2101.11259
Blocking is a mechanism to improve the efficiency of Entity Resolution (ER) which aims to quickly prune out all non-matching record pairs. However, depending on the distributions of entity cluster sizes, existing techniques can be either (a) too aggr
Externí odkaz:
http://arxiv.org/abs/2005.14326
Knowledge Graphs (KGs) have found many applications in industry and academic settings, which in turn, have motivated considerable research efforts towards large-scale information extraction from a variety of sources. Despite such efforts, it is well
Externí odkaz:
http://arxiv.org/abs/2002.00819
The design of activation functions is a growing research area in the field of neural networks. In particular, instead of using fixed point-wise functions (e.g., the rectified linear unit), several authors have proposed ways of learning these function
Externí odkaz:
http://arxiv.org/abs/1901.10232
In Codice Ratio is a research project to study tools and techniques for analyzing the contents of historical documents conserved in the Vatican Secret Archives (VSA). In this paper, we present our efforts to develop a system to support the transcript
Externí odkaz:
http://arxiv.org/abs/1803.03200
Autor:
Lastilla, Lorenzo, Ammirati, Serena, Firmani, Donatella, Komodakis, Nikos, Merialdo, Paolo, Scardapane, Simone
Publikováno v:
In Information Processing and Management May 2022 59(3)
Publikováno v:
In Information Processing and Management September 2021 58(5)
In this paper we present the first algorithm in the streaming model to characterize completely the biconnectivity properties of undirected networks: articulation points, bridges, and connected and biconnected components. The motivation of our work wa
Externí odkaz:
http://arxiv.org/abs/1202.0319
Publikováno v:
Proceedings of the VLDB Endowment. 15:3566-3569
The latest generations of Link Prediction (LP) models rely on embeddings to tackle incompleteness in Knowledge Graphs, achieving great performance at the cost of interpretability. Their opaqueness limits the trust that users can place in them, hinder
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e456dd977e1d9dedfd5cabc03d83375a
https://doi.org/10.14778/3554821.3554845
https://doi.org/10.14778/3554821.3554845