Sérgio Canuto
Cited by
Cited by
Exploiting new sentiment-based meta-level features for effective sentiment analysis
S Canuto, MA Gonçalves, F Benevenuto
Proceedings of the ninth ACM international conference on web search and data …, 2016
Ranked batch-mode active learning
TNC Cardoso, RM Silva, S Canuto, MM Moro, MA Gonçalves
Information Sciences 379, 313-337, 2017
CluWords: exploiting semantic word clustering representation for enhanced topic modeling
F Viegas, S Canuto, C Gomes, W Luiz, T Rosa, S Ribas, L Rocha, ...
Proceedings of the twelfth ACM international conference on web search and …, 2019
On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study
W Cunha, V Mangaravite, C Gomes, S Canuto, E Resende, C Nascimento, ...
Information Processing & Management 58 (3), 102481, 2021
A practical and effective sampling selection strategy for large scale deduplication
G Dal Bianco, R Galante, MA Goncalves, S Canuto, CA Heuser
IEEE Transactions on Knowledge and Data Engineering 27 (9), 2305-2319, 2015
Extended pre-processing pipeline for text classification: On the role of meta-feature representations, sparsification and selective sampling
W Cunha, S Canuto, F Viegas, T Salles, C Gomes, V Mangaravite, ...
Information Processing & Management 57 (4), 102263, 2020
A comparative study of learning-to-rank techniques for tag recommendation
SD Canuto, FM Belém, JM Almeida, MA Gonçalves
Journal of Information and Data Management 4 (3), 453-453, 2013
A thorough evaluation of distance-based meta-features for automated text classification
S Canuto, DX Sousa, MA Goncalves, TC Rosa
IEEE transactions on knowledge and data engineering 30 (12), 2242-2256, 2018
Stacking bagged and boosted forests for effective automated classification
R Campos, S Canuto, T Salles, CCA de Sá, MA Gonçalves
Proceedings of the 40th international ACM SIGIR conference on research and …, 2017
Exploiting semantic relationships for unsupervised expansion of sentiment lexicons
F Viegas, MS Alvim, S Canuto, T Rosa, MA Gonçalves, L Rocha
Information Systems 94, 101606, 2020
On efficient meta-level features for effective text classification
S Canuto, T Salles, MA Gonçalves, L Rocha, G Ramos, L Gonçalves, ...
Proceedings of the 23rd ACM International Conference on Conference on …, 2014
Risk-sensitive learning to rank with evolutionary multi-objective feature selection
DX Sousa, S Canuto, MA Goncalves, TC Rosa, WS Martins
ACM Transactions on Information Systems (TOIS) 37 (2), 1-34, 2019
Incorporating risk-sensitiveness into feature selection for learning to rank
DXD Sousa, SD Canuto, TC Rosa, WS Martins, MA Gonçalves
Proceedings of the 25th ACM International on Conference on Information and …, 2016
Semantically-enhanced topic modeling
F Viegas, W Luiz, C Gomes, A Khatibi, S Canuto, F Mourão, T Salles, ...
Proceedings of the 27th ACM international conference on information and …, 2018
Similarity-based synthetic document representations for meta-feature generation in text classification
S Canuto, T Salles, TC Rosa, MA Gonçalves
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
An efficient and scalable metafeature-based document classification approach based on massively parallel computing
S Canuto, M Gonçalves, W Santos, T Rosa, W Martins
Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015
A pragmatic approach to hierarchical categorization of research expertise in the presence of scarce information
GO de Siqueira, S Canuto, MA Gonçalves, AHF Laender
International Journal on Digital Libraries 21 (1), 61-73, 2020
On the cost-effectiveness of stacking of neural and non-neural methods for text classification: scenarios and performance prediction
C Gomes, M Goncalves, L Rocha, S Canuto
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021
G-knn: an efficient document classification algorithm for sparse datasets on gpus using knn
L Rocha, G Ramos, R Chaves, R Sachetto, D Madeira, F Viegas, ...
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 1335-1338, 2015
Stroke outcome measurements from electronic medical records: cross-sectional study on the effectiveness of neural and nonneural classifiers
BS Zanotto, AP Beck da Silva Etges, A Dal Bosco, EG Cortes, R Ruschel, ...
JMIR Medical Informatics 9 (11), e29120, 2021
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