no code implementations • 21 Mar 2018 • Evgeny Krivosheev, Bahareh Harandizadeh, Fabio Casati, Boualem Benatallah
In this paper we describe how crowd and machine classifier can be efficiently combined to screen items that satisfy a set of predicates.
no code implementations • 1 Apr 2019 • Evgeny Krivosheev, Fabio Casati, Marcos Baez, Boualem Benatallah
This paper discusses how crowd and machine classifiers can be efficiently combined to screen items that satisfy a set of predicates.
no code implementations • 17 Jan 2020 • Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka, Paolo Scotton, Fabio Casati
In this work, we propose a general approach to modeling and integrating entities from structured data, such as relational databases, as well as unstructured sources, such as free text from news articles.
no code implementations • 11 Nov 2020 • Evgeny Krivosheev, Burcu Sayin, Alessandro Bozzon, Zoltán Szlávik
In this paper, we explore how to efficiently combine crowdsourcing and machine intelligence for the problem of document screening, where we need to screen documents with a set of machine-learning filters.
no code implementations • 21 Jan 2021 • Evgeny Krivosheev, Fabio Casati, Alessandro Bozzon
Hybrid crowd-machine classifiers can achieve superior performance by combining the cost-effectiveness of automatic classification with the accuracy of human judgment.
1 code implementation • CVPR 2021 • Subhankar Roy, Evgeny Krivosheev, Zhun Zhong, Nicu Sebe, Elisa Ricci
In this paper we address multi-target domain adaptation (MTDA), where given one labeled source dataset and multiple unlabeled target datasets that differ in data distributions, the task is to learn a robust predictor for all the target domains.
Ranked #2 on Multi-target Domain Adaptation on Office-Home
Blended-target Domain Adaptation Multi-target Domain Adaptation
no code implementations • 8 May 2021 • Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka, Paolo Scotton, Christoph Miksovic, Anton Zorin
Data integration has been studied extensively for decades and approached from different angles.
2 code implementations • 20 Jul 2022 • Cristiano Saltori, Evgeny Krivosheev, Stéphane Lathuilière, Nicu Sebe, Fabio Galasso, Giuseppe Fiameni, Elisa Ricci, Fabio Poiesi
Our experiments show the effectiveness of our segmentation approach on thousands of real-world point clouds.