About  Publications  Team  Contact


Interactive Data Visualization in Jupyter Notebooks
Jorge Ono, Juliana Freire, Claudio Silva.
to appear

Auctus: A  Dataset Search Engine for Data Discovery and Augmentation
Sonia Castelo, Remi Rampin, Aecio Santos, Aline Bessa, Fernando Chirigati, Juliana Freire
ArXiv. [PDF]


PipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines
Jorge Ono, Sonia Castelo, Roque Lopez, Enrico Bertini, Juliana Freire, Claudio Silva.
VIS Conference. [PDF]

BugDoc: Algorithms to Debug Computational Processes
Raoni Lourenco, Juliana Freire, Dennis Shasha.
SIGMOD Conference. [PDF]

A GPU-friendly Geometric Data Model and Algebra for Spatial Queries
Harish Doraiswamy, Juliana Freire.
SIGMOD Conference. [PDF]

Effective Discovery of Meaningful Outlier Relationships
Aline Bessa, Juliana Freire, Divesh Srivastava, Tamraparni Dasu
ACM Transactions on Data Science Journal. [PDF]

Data-Driven Domain Discovery for Structured Datasets
Masayo Ota, Heiko Mueller, Juliana Freire, Divesh Srivastava.
VLDB Conference. [PDF]


Visus: An Interactive System for Automatic Machine Learning Model Building and Curation
Aecio Santos, Sonia Castelo, Cristian Felix, Jorge Ono, Bowen Yu, Ray Hong, Claudio Silva, Enrico Bertini, Juliana Freire.
HILDA’19: Workshop on Human-In-the-Loop Data Analytics, co-located with SIGMOD 2019. [PDF] [Video]

Debugging Machine Learning Pipelines
Raoni Lourenco, Juliana Freire, Dennis Shasha.
DEEM’19: Workshop on Data Management for End-to-End Machine Learning, co-located with SIGMOD 2019. [PDF]

Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar
Iddo Drori, Yamuna Krishnamurthy, Raoni Lourenco, Remi Rampin, Kyunghyun Cho, Claudio Silva, Juliana Freire.
AutoML’19: Workshop on Automated Machine Learning, co-located with ICML 2019. [PDF]


AlphaD3M: Machine Learning Pipeline Synthesis
Iddo Drori, Yamuna Krishnamurthy, Remi Rampin, Raoni Lourenco, Jorge Ono, Kyunghyun Cho, Claudio Silva, Juliana Freire.
AutoML’18: Workshop on Automated Machine Learning, co-located with ICML 2018. [PDF]