2023
AlphaD3M: An Open-Source AutoML Library for Multiple ML Tasks
Roque Lopez, Raoni Lourenco, Remi Rampin, Sonia Castelo, Aécio Santos, Jorge Ono, Claudio Silva, Juliana Freire.
AutoML Conference. [PDF]
Using Pipeline Performance Prediction to Accelerate AutoML Systems
Haoxiang Zhang , Roque López , Aécio Santos , Jorge Piazentin Ono , Aline Bessa , Juliana Freire.
DEEM’23: Workshop on Data Management for End-to-End Machine Learning, co-located with SIGMOD 2023. [PDF]
2022
NYUCIN at the NTCIR-16 Dataset Search 2 Task
Levy Silva, Luciano Barbosa, Sonia Castelo, Haoxiang Zhang, Aécio Santos, Juliana Freire.
NTCIR Conference on Evaluation of Information Access Technologies. [PDF]
A Sketch-based Index for Correlated Dataset Search
Aécio Santos, Aline Bessa, Christopher Musco, Juliana Freire.
Conference on Data Engineering. [PDF]
2021
Interactive Data Visualization in Jupyter Notebooks
Jorge Ono, Juliana Freire, Claudio Silva.
Computing in Science & Engineering. [PDF]
Auctus: A Dataset Search Engine for Data Discovery and Augmentation
Sonia Castelo, Remi Rampin, Aecio Santos, Aline Bessa, Fernando Chirigati, Juliana Freire.
VLDB Conference. [PDF]
DSDD: Domain-Specific Dataset Discovery on the Web
Haoxiang Zhang, Aécio Santos, Juliana Freire.
Conference on Information & Knowledge Management. [PDF]
Correlation Sketches for Approximate Join-Correlation Queries
Aécio Santos, Aline Bessa, Fernando Chirigati, Christopher Musco, Juliana Freire.
SIGMOD Conference. [PDF]
An Ecosystem of Tools for Modeling Political Violence
Aline Bessa, Sonia Castelo, Rémi Rampin, Aécio Santos, Mike Shoemate, Vito D’Orazio, Juliana Freire.
SIGMOD Conference. [PDF]
2020
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]
Towards Evaluating Exploratory Model Building Process with AutoML Systems
Sunsoo (Ray) Hong, Sonia Castelo, Vito D’Orazio, Christopher Benthune, AécioSantos, Scott Langevin, David Jonker, Enrico Bertini, Juliana Freire.
ArXiv. [PDF]
Data-Driven Domain Discovery for Structured Datasets
Masayo Ota, Heiko Mueller, Juliana Freire, Divesh Srivastava.
VLDB Conference. [PDF]
2019
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]
2018
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]