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Aline Bessa
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2020 – today
- 2023
- [c9]Haoxiang Zhang, Roque Lopez, Aécio S. R. Santos, Jorge Piazentin Ono, Aline Bessa, Juliana Freire:
Using Pipeline Performance Prediction to Accelerate AutoML Systems. DEEM@SIGMOD 2023: 6:1-6:11 - [c8]Aline Bessa, Majid Daliri, Juliana Freire, Cameron Musco, Christopher Musco, Aécio S. R. Santos, Haoxiang Zhang:
Weighted Minwise Hashing Beats Linear Sketching for Inner Product Estimation. PODS 2023: 169-181 - [i5]Aline Bessa, Majid Daliri, Juliana Freire, Cameron Musco, Christopher Musco, Aécio S. R. Santos, Haoxiang Zhang:
Weighted Minwise Hashing Beats Linear Sketching for Inner Product Estimation. CoRR abs/2301.05811 (2023) - 2022
- [c7]Aécio S. R. Santos, Aline Bessa, Christopher Musco, Juliana Freire:
A Sketch-based Index for Correlated Dataset Search. ICDE 2022: 2928-2941 - 2021
- [j5]Sonia Castelo, Rémi Rampin, Aécio S. R. Santos, Aline Bessa, Fernando Chirigati, Juliana Freire:
Auctus: A Dataset Search Engine for Data Discovery and Augmentation. Proc. VLDB Endow. 14(12): 2791-2794 (2021) - [c6]Aécio S. R. Santos, Aline Bessa, Fernando Chirigati, Christopher Musco, Juliana Freire:
Correlation Sketches for Approximate Join-Correlation Queries. SIGMOD Conference 2021: 1531-1544 - [c5]Aline Bessa, Sonia Castelo, Rémi Rampin, Aécio S. R. Santos, Michael Shoemate, Vito D'Orazio, Juliana Freire:
An Ecosystem of Applications for Modeling Political Violence. SIGMOD Conference 2021: 2384-2388 - [c4]Sonia Castelo, Rémi Rampin, Aécio S. R. Santos, Aline Bessa, Fernando Chirigati, Juliana Freire:
Auctus: A Search Engine for Data Discovery and Augmentation. SEA-Data@VLDB 2021: 44-45 - [i4]Fernando Chirigati, Rémi Rampin, Aécio S. R. Santos, Aline Bessa, Juliana Freire:
Auctus: A Dataset Search Engine for Data Augmentation. CoRR abs/2102.05716 (2021) - [i3]Aécio S. R. Santos, Aline Bessa, Fernando Chirigati, Christopher Musco, Juliana Freire:
Correlation Sketches for Approximate Join-Correlation Queries. CoRR abs/2104.03353 (2021) - 2020
- [j4]Aline Bessa, Juliana Freire, Tamraparni Dasu, Divesh Srivastava:
Effective Discovery of Meaningful Outlier Relationships. Trans. Data Sci. 1(2): 12:1-12:33 (2020)
2010 – 2019
- 2019
- [c3]Lais M. A. Rocha, Aline Bessa, Fernando Chirigati, Eugene OFriel, Mirella M. Moro, Juliana Freire:
Understanding Spatio-Temporal Urban Processes. IEEE BigData 2019: 563-572 - [i2]Aline Bessa, Juliana Freire, Divesh Srivastava, Tamraparni Dasu:
Efficient Discovery of Meaningful Outlier Relationships. CoRR abs/1910.08678 (2019) - 2017
- [j3]Aline Bessa, Rodrygo L. T. Santos, Adriano Veloso, Nivio Ziviani:
Exploiting item co-utility to improve collaborative filtering recommendations. J. Assoc. Inf. Sci. Technol. 68(10): 2380-2393 (2017) - 2016
- [j2]Juliana Freire, Aline Bessa, Fernando Chirigati, Huy T. Vo, Kai Zhao:
Exploring What not to Clean in Urban Data: A Study Using New York City Taxi Trips. IEEE Data Eng. Bull. 39(2): 63-77 (2016) - [i1]Aline Bessa, Fernando de Mesentier Silva, Rodrigo Frassetto Nogueira, Enrico Bertini, Juliana Freire:
RioBusData: Outlier Detection in Bus Routes of Rio de Janeiro. CoRR abs/1601.06128 (2016) - 2013
- [c2]Aline Bessa, Adriano Veloso, Nivio Ziviani:
Using Mutual Influence to Improve Recommendations. SPIRE 2013: 17-28 - 2012
- [j1]Aline Duarte Bessa, Ivan C. Rocha-Neto, Suani Tavares Rubim de Pinho, Roberto Fernandes Silva Andrade, Thierry Petit Lobão:
Graph Cospectrality using Neighborhood Matrices. Electron. J. Comb. 19(3): 23 (2012) - [c1]Aline Bessa, Alberto H. F. Laender, Adriano Veloso, Nivio Ziviani:
Alleviating the Sparsity Problem in Recommender Systems by Exploring Underlying User Communities. AMW 2012: 35-47
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