Search Results for author: Sonia Castelo

Found 5 papers, 2 papers with code

Auctus: A Dataset Search Engine for Data Augmentation

no code implementations10 Feb 2021 Sonia Castelo, Rémi Rampin, Aécio Santos, Aline Bessa, Fernando Chirigati, Juliana Freire

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 important scientific, societal, and business questions.

Data Augmentation

A Visual Mining Approach to Improved Multiple-Instance Learning

no code implementations14 Dec 2020 Sonia Castelo, Moacir Ponti, Rosane Minghim

Multiple-instance learning (MIL) is a paradigm of machine learning that aims to classify a set (bag) of objects (instances), assigning labels only to the bags.

Multiple Instance Learning

PipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines

1 code implementation arXiv 2020 Jorge Piazentin Ono, Sonia Castelo, Roque Lopez, Enrico Bertini, Juliana Freire, Claudio Silva

In recent years, a wide variety of automated machine learning (AutoML) methods have been proposed to search and generate end-to-end learning pipelines.

Human-Computer Interaction

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

no code implementations5 Jul 2019 Aécio Santos, Sonia Castelo, Cristian Felix, Jorge Piazentin Ono, Bowen Yu, Sungsoo Hong, Cláudio T. Silva, Enrico Bertini, Juliana Freire

In this paper, we present Visus, a system designed to support the model building process and curation of ML data processing pipelines generated by AutoML systems.

AutoML

A Topic-Agnostic Approach for Identifying Fake News Pages

1 code implementation2 May 2019 Sonia Castelo, Thais Almeida, Anas Elghafari, Aécio Santos, Kien Pham, Eduardo Nakamura, Juliana Freire

Fake news and misinformation have been increasingly used to manipulate popular opinion and influence political processes.

Misinformation TAG

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