Cited by
Cited by
SentiHealth-Cancer: a sentiment analysis tool to help detecting mood of patients in online social networks
RG Rodrigues, RM das Dores, CG Camilo-Junior, TC Rosa
International journal of medical informatics 85 (1), 80-95, 2016
An evolutionary approach for combining results of recommender systems techniques based on collaborative filtering
EQ Da Silva, CG Camilo-Junior, LML Pascoal, TC Rosa
Expert Systems with Applications 53, 204-218, 2016
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
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 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
SUNPLIN: Simulation with uncertainty for phylogenetic investigations
WS Martins, WC Carmo, HJ Longo, TC Rosa, TF Rangel
BMC bioinformatics 14, 1-11, 2013
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
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
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
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
Machine learning approach for automatic recognition of tomato-pollinating bees based on their buzzing-sounds
AP Ribeiro, NFF da Silva, FN Mesquita, PCS Araújo, TC Rosa, ...
PLoS computational biology 17 (9), e1009426, 2021
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
Extracting new metrics from version control system for the comparison of software developers
MHD de Moura, HAD do Nascimento, TC Rosa
2014 Brazilian Symposium on Software Engineering, 41-50, 2014
A Comparative Survey of Instance Selection Methods applied to Non-Neural and Transformer-Based Text Classification
W Cunha, F Viegas, C França, T Rosa, L Rocha, MA Gonçalves
ACM Computing Surveys 55 (13s), 1-52, 2023
A taxonomy for sentiment analysis field
R Rodrigues, CG Camilo-Junior, T Rosa
International Journal of Web Information Systems 14 (2), 193-211, 2018
Sentiment analysis with genetic programming
AB Junior, NFF da Silva, TC Rosa, CGC Junior
Information Sciences 562, 116-135, 2021
Automatic acoustic recognition of pollinating bee species can be highly improved by Deep Learning models accompanied by pre-training and strong data augmentation
AIS Ferreira, NFF Da Silva, FN Mesquita, TC Rosa, VH Monzón, ...
Frontiers in Plant Science 14, 1081050, 2023
A social-evolutionary approach to compose a similarity function used on event recommendation
LML Pascoal, CG Camilo, EQ da Silva, TC Rosa
2014 IEEE Congress on Evolutionary Computation (CEC), 1512-1519, 2014
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