Rule-Based Active Sampling for Learning to Rank. - Rodrigo M. Silva; Marcos André Gonçalves; Adriano Veloso (ECML/PKDD (3), 2011)

Active associative sampling for author name disambiguation. - Anderson A. Ferreira; Rodrigo M. Silva; Marcos André Gonçalves; Adriano Veloso; Alberto H. F. Laender (JCDL, 2012)

Improving On-Demand Learning to Rank through Parallelism. - Daniel Xavier de Sousa; Thierson Couto Rosa; Wellington Santos Martins; Rodrigo M. Silva; Marcos André Gonçalves (WISE, 2012)

A Two-stage active learning method for learning to rank. - Rodrigo M. Silva; Marcos André Gonçalves; Adriano Veloso (J. Assoc. Inf. Sci. Technol., 2014)

Compression-Based Selective Sampling for Learning to Rank. - Rodrigo M. Silva; Guilherme de Castro Mendes Gomes; Mário S. Alvim; Marcos André Gonçalves (CIKM, 2016)

Ranked batch-mode active learning. - Thiago N. C. Cardoso; Rodrigo M. Silva; Sérgio D. Canuto; Mirella M. Moro; Marcos André Gonçalves (Inf. Sci., 2017)

Parallel rule-based selective sampling and on-demand learning to rank. - Mateus Ferreira e Freitas; Daniel Xavier de Sousa; Wellington S. Martins; Thierson Couto Rosa; Rodrigo M. Silva; Marcos André Gonçalves (Concurr. Comput. Pract. Exp., 2019)

"Fixing the curse of the bad product descriptions" - Search-boosted tag recommendation for E-commerce products. - 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 (Inf. Process. Manag., 2020)

How to build high quality L2R training data: Unsupervised compression-based selective sampling for learning to rank. - Rodrigo M. Silva; Guilherme C. M. Gomes; Mário S. Alvim; Marcos André Gonçalves (Inf. Sci., 2022)