activity
20192021
most citedA Topic-Agnostic Approach for Identifying Fake News Pages

72 citations · 117 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2021★ 5 cited

Auctus: A Dataset Search Engine for Data Augmentation

Sonia Castelo, Rémi Rampin, Aécio Santos +3

The large volumes of structured data currently available, from Web tables to open-data portals and enterprise data, open up new opportunities for progress in answering many importa…

cs.HC2020★ 1 cited

Towards Evaluating Exploratory Model Building Process with AutoML Systems

Sungsoo Ray Hong, Sonia Castelo, Vito D'Orazio +6

The use of Automated Machine Learning (AutoML) systems are highly open-ended and exploratory. While rigorously evaluating how end-users interact with AutoML is crucial, establishin…

cs.LG2019★ 31 cited

Visus: An Interactive System for Automatic Machine Learning Model Building and Curation

Aécio Santos, Sonia Castelo, Cristian Felix +6

While the demand for machine learning (ML) applications is booming, there is a scarcity of data scientists capable of building such models. Automatic machine learning (AutoML) appr…

cs.CL2019★ 72 cited

A Topic-Agnostic Approach for Identifying Fake News Pages

Sonia Castelo, Thais Almeida, Anas Elghafari +4

Fake news and misinformation have been increasingly used to manipulate popular opinion and influence political processes. To better understand fake news, how they are propagated, a…

cs.IR2019★ 8 cited

Bootstrapping Domain-Specific Content Discovery on the Web

Kien Pham, Aécio Santos, Juliana Freire

The ability to continuously discover domain-specific content from the Web is critical for many applications. While focused crawling strategies have been shown to be effective for d…