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Rodrigo M. Silva
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2020 – today
- 2022
- [j5]Rodrigo M. Silva, Guilherme C. M. Gomes, Mário S. Alvim
, Marcos André Gonçalves:
How to build high quality L2R training data: Unsupervised compression-based selective sampling for learning to rank. Inf. Sci. 601: 90-113 (2022) - 2020
- [j4]Fabiano Muniz Belém, Rodrigo M. Silva, Cláudio Moisés Valiense de Andrade, Gabriel Person, Felipe Mingote, Raphael Ballet, Helton Alponti, Henrique P. de Oliveira, Jussara M. Almeida, Marcos André Gonçalves
"Fixing the curse of the bad product descriptions" - Search-boosted tag recommendation for E-commerce products. Inf. Process. Manag. 57(5): 102289 (2020)
2010 – 2019
- 2019
- [j3]Mateus Ferreira e Freitas, Daniel Xavier de Sousa, Wellington S. Martins
Parallel rule-based selective sampling and on-demand learning to rank. Concurr. Comput. Pract. Exp. 31(18) (2019) - 2017
- [j2]Thiago N. C. Cardoso, Rodrigo M. Silva, Sérgio D. Canuto
Ranked batch-mode active learning. Inf. Sci. 379: 313-337 (2017) - 2016
- [c4]Rodrigo M. Silva, Guilherme de Castro Mendes Gomes, Mário S. Alvim
Compression-Based Selective Sampling for Learning to Rank. CIKM 2016: 247-256 - 2014
- [j1]Rodrigo M. Silva, Marcos André Gonçalves
A Two-stage active learning method for learning to rank. J. Assoc. Inf. Sci. Technol. 65(1): 109-128 (2014) - 2012
- [c3]Anderson A. Ferreira
Active associative sampling for author name disambiguation. JCDL 2012: 175-184 - [c2]Daniel Xavier de Sousa, Thierson Couto Rosa, Wellington Santos Martins
Improving On-Demand Learning to Rank through Parallelism. WISE 2012: 526-537 - 2011
- [c1]Rodrigo M. Silva, Marcos André Gonçalves
Rule-Based Active Sampling for Learning to Rank. ECML/PKDD (3) 2011: 240-255
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