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Nádia Félix Felipe da Silva

Observed names: Felix, Nádia, Nadia Felix, Nadia Felix F. Da Silva, Nadia Felix Felipe Da Silva, Nadia Felix Felipe da Silva, Nadia Silva, Nádia F. F. Silva, Nádia F. F. da Silva, Nádia F.F. Da Silva, Nádia F.F. da Silva, Nádia Felix Felipe da Silva, Nádia Félix, Nádia Félix F. da Silva, Nádia Félix Felipe Da Silva, Nádia Félix Silva, Nádia Maria Pires Silva, Nádia Silva, Silva, Nádia Felix Felipe da, da Silva, Nádia Félix Felipe
Observed institutions: Universidade de Brasília, Universidade de São Paulo, Coordenação de Aperfeicoamento de Pessoal de Nível Superior, Universidade Federal de Catalão, Universidade Federal de Goiás, Universidade Federal de Uberlândia
ORCID: 0000-0002-3875-2211
Observed ORCID: 0000-0002-3875-2211
OpenAlex ID: A5034540373
Tweet sentiment analysis with classifier ensembles
2014 · Nádia F.F. da Silva, Eduardo R. Hruschka, et al. · Decision Support Systems · 443
A Survey and Comparative Study of Tweet Sentiment Analysis via Semi-Supervised Learning
2016 · Nadia Felix F. Da Silva, Luiz F. S. Coletta, et al. · ACM Computing Surveys · 89
Combining Classification and Clustering for Tweet Sentiment Analysis
2014 · Luiz Fernando Sommaggio Coletta, Nadia Felix Felipe da Silva, et al. · Brazilian Conference on Intelligent Systems · 89
Using unsupervised information to improve semi-supervised tweet sentiment classification
2016 · Nádia Félix Felipe da Silva, Luiz F.S. Coletta, et al. · Information Sciences · 73
Machine learning approach for automatic recognition of tomato-pollinating bees based on their buzzing-sounds
2021 · Alison Pereira Ribeiro, Nádia Felix Felipe da Silva, et al. · PLoS Computational Biology · 39
Evaluating Topic Models in Portuguese Political Comments About Bills from Brazil’s Chamber of Deputies
2021 · Nádia F. F. da Silva, Marília Costa R. Silva, et al. · Lecture notes in computer science · 29
INF-HatEval at SemEval-2019 Task 5: Convolutional Neural Networks for Hate Speech Detection Against Women and Immigrants on Twitter
2019 · Alison Ribeiro, Nádia Silva · International Workshop on Semantic Evaluation (SemEval) · 28
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Automatic acoustic recognition of pollinating bee species can be highly improved by Deep Learning models accompanied by pre-training and strong data augmentation
2023 · Alef Iury Siqueira Ferreira, Nádia Felix Felipe da Silva, et al. · Frontiers in Plant Science · 27
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UlyssesNER-Br: A Corpus of Brazilian Legislative Documents for Named Entity Recognition
2022 · Hidelberg O. Albuquerque, Rosimeire Costa, et al. · Lecture notes in computer science · 27
Portuguese Named Entity Recognition Using LSTM-CRF
2018 · Pedro Vitor Quinta de Castro, Nádia Félix Felipe da Silva, et al. · Lecture notes in computer science · 27
An Information Retrieval Pipeline for Legislative Documents from the Brazilian Chamber of Deputies
2021 · Ellen Souza, Douglas Vitório, et al. · Frontiers in artificial intelligence and applications · 22
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INF-UFG at FiQA 2018 Task 1
2018 · Dayan de França Costa, Nadia Felix Felipe da Silva · International World Wide Web Conference (WWW) · 19
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Sentiment analysis with genetic programming
2021 · Airton Bordin Junior, Nádia Félix F. da Silva, et al. · Information Sciences · 15
Transformer Models improve the acoustic recognition of buzz-pollinating bee species
2025 · Alef Iury Siqueira Ferreira, Nádia Felix Felipe da Silva, et al. · Ecological Informatics · 14
Multilingual Transformer Ensembles for Portuguese Natural Language Tasks.
2019 · Ruan Chaves Rodrigues, Jéssica Rodrigues da Silva, et al. · 13
Building a relevance feedback corpus for legal information retrieval in the real-case scenario of the Brazilian Chamber of Deputies
2024 · Douglas Vitório, Ellen Souza, et al. · Language Resources and Evaluation · 12
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Portuguese Language Models and Word Embeddings: Evaluating on Semantic Similarity Tasks
2020 · Ruan Chaves Rodrigues, Jéssica Rodrigues, et al. · Lecture notes in computer science · 11
Assessing the Impact of Stemming Algorithms Applied to Brazilian Legislative Documents Retrieval
2021 · Ellen Souza, Gyovana Moriyama, et al. · Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana (STIL) · 10
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Success prediction of crowdfunding campaigns: a two-phase modeling
2020 · Lafaiet Silva, Nádia Félix Silva, et al. · International Journal of Web Information Systems · 10
Mining User Contextual Preferences
2012 · Sandra de Amo, Marcos L. P. Bueno, et al. · Journal of Information and Data Management · 9
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Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches
2023 · Gomes, Juliana Resplande Santanna, Garcia, Eduardo Augusto Santos, et al. · arXiv (Cornell University) · 8
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RoBERTaLexPT: um modelo RoBERTa jurídico pré-treinado com deduplicação para língua Portuguesa
2024 · Eduardo Garcia, Nádia Félix Felipe Da Silva, et al. · Linguamática · 7
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Estudo Exploratório através de Análises Longitudinais aplicado à Ciência da Computação a partir da Base de Dados do ENADE
2021 · Eliene Ribeiro Rosa, Deller James Ferreira, et al. · Revista Brasileira de Informática na Educação · 7
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Contextual Representations and Semi-Supervised Named Entity Recognition for Portuguese Language.
2019 · Pedro Vitor Quinta de Castro, Nádia Félix Felipe da Silva, et al. · IberLEF@SEPLN · 7
Machine learning for predicting bee honey production and quality: A systematic review
2025 · Roberto Ahumada-García, David Zabala-Blanco, et al. · Computers and Electronics in Agriculture · 6
Works count: 69
Citation count: 1,100
H-index: 14
I10-index: 19
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