2023

Using Pipeline Performance Prediction to Accelerate AutoML Systems

H. Zhang, R. Lopez, A. Santos, J. P. Ono, A. Bessa, J. Freire. DEEM’23: Workshop on Data Management for End-to-End Machine Learning, co-located with SIGMOD 2023 (2023)

AlphaD3M: An Open-Source AutoML Library for Multiple ML Tasks

R. Lopez, R. Lourenco, R. Rampin, S. Castelo, A. Santos, J. Ono, C. Silva, J. Freire. AutoML Conference (2023)

2022

NYUCIN at the NTCIR-16 Dataset Search 2 Task

L. Silva, L. Barbosa, S. Castelo, H. Zhang, A. Santos, J. Freire. NTCIR Conference on Evaluation of Information Access Technologies (2022)

A Sketch-based Index for Correlated Dataset Search

A. Santos, A. Bessa, C. Musco, J. Freire. Conference on Data Engineering (2022)

2021

Interactive Data Visualization in Jupyter Notebooks

J. Ono, J. Freire, C. Silva. Computing in Science & Engineering (2021)

DSDD: Domain-Specific Dataset Discovery on the Web

H. Zhang, A. Santos, J. Freire. Conference on Information & Knowledge Management (2021)

Correlation Sketches for Approximate Join-Correlation Queries

A. Santos, A. Bessa, F. Chirigati, C. Musco, J. Freire. SIGMOD Conference (2021)

Auctus: A Dataset Search Engine for Data Discovery and Augmentation

S. Castelo, R. Rampin, A. Santos, A. Bessa, F. Chirigati, J. Freire. VLDB Conference (2021)

An Ecosystem of Tools for Modeling Political Violence

A. Bessa, S. Castelo, R. Rampin, A. Santos, M. Shoemate, V. D’Orazio, J. Freire. SIGMOD Conference (2021)

2020

Towards Evaluating Exploratory Model Building Process with AutoML Systems

R. Hong, S. Castelo, V. D’Orazio, C. Benthune, A. Santos, S. Langevin, D. Jonker, E. Bertini, J. Freire. ArXiv (2020)

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

J. Ono, S. Castelo, R. Lopez, E. Bertini, J. Freire, C. Silva. VIS Conference (2020)

Effective Discovery of Meaningful Outlier Relationships

A. Bessa, J. Freire, D. Srivastava, T. Dasu. ACM Transactions on Data Science Journal (2020)

Data-Driven Domain Discovery for Structured Datasets

M. Ota, H. Mueller, J. Freire, D. Srivastava. VLDB Conference (2020)

BugDoc: Algorithms to Debug Computational Processes

R. Lourenco, J. Freire, D. Shasha. SIGMOD Conference (2020)

A GPU-friendly Geometric Data Model and Algebra for Spatial Queries

H. Doraiswamy, J. Freire. SIGMOD Conference (2020)

2019

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

A. Santos, S. Castelo, C. Felix, J. Ono, B. Yu, R. Hong, C. Silva, E. Bertini, J. Freire. HILDA’19: Workshop on Human-In-the-Loop Data Analytics, co-located with SIGMOD 2019 (2019)

Debugging Machine Learning Pipelines

R. Lourenco, J. Freire, D. Shasha. DEEM’19: Workshop on Data Management for End-to-End Machine Learning, co-located with SIGMOD 2019 (2019)

Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar

I. Drori, Y. Krishnamurthy, R. Lourenco, R. Rampin, K. Cho, C. Silva, J. Freire. AutoML’19: Workshop on Automated Machine Learning, co-located with ICML 2019 (2019)

2018

AlphaD3M: Machine Learning Pipeline Synthesis

I. Drori, Y. Krishnamurthy, R. Rampin, R. Lourenco, J. Ono, K. Cho, C. Silva, J. Freire. AutoML’18: Workshop on Automated Machine Learning, co-located with ICML 2018 (2018)