Efficient filtering with BERT embeddings for researcher-topic affinity prediction in HPC pipelines (2025)
- Authors:
- USP affiliated authors: GÔLO, MARCOS PAULO SILVA - ICMC ; UTINO, MATHEUS YASUO RIBEIRO - ICMC
- Unidade: ICMC
- DOI: 10.1109/SBAC-PADW69789.2025.00029
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; REDES NEURAIS; SUSTENTABILIDADE; MINERAÇÃO DE DADOS
- Keywords: lightweight filtering; researcher-topic affinity; sustainable AI; BERT embeddings; text pair classification
- Agências de fomento:
- Language: Inglês
- Objetivos de Desenvolvimento Sustentável (ODS):
09. Indústria, inovação e infraestrutura
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2025
- Source:
- Título: Proceedings
- Conference titles: IEEE/SBC International Symposium on Computer Architecture and High Performance Computing Workshops - SBAC-PADW
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
UTINO, Matheus Yasuo Ribeiro e GÔLO, Marcos Paulo Silva. Efficient filtering with BERT embeddings for researcher-topic affinity prediction in HPC pipelines. 2025, Anais.. Los Alamitos: IEEE, 2025. Disponível em: https://doi.org/10.1109/SBAC-PADW69789.2025.00029. Acesso em: 28 jan. 2026. -
APA
Utino, M. Y. R., & Gôlo, M. P. S. (2025). Efficient filtering with BERT embeddings for researcher-topic affinity prediction in HPC pipelines. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SBAC-PADW69789.2025.00029 -
NLM
Utino MYR, Gôlo MPS. Efficient filtering with BERT embeddings for researcher-topic affinity prediction in HPC pipelines [Internet]. Proceedings. 2025 ;[citado 2026 jan. 28 ] Available from: https://doi.org/10.1109/SBAC-PADW69789.2025.00029 -
Vancouver
Utino MYR, Gôlo MPS. Efficient filtering with BERT embeddings for researcher-topic affinity prediction in HPC pipelines [Internet]. Proceedings. 2025 ;[citado 2026 jan. 28 ] Available from: https://doi.org/10.1109/SBAC-PADW69789.2025.00029 - One-class lightweight interpretable filtering for academic profiles and strategic themes affinity
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Informações sobre o DOI: 10.1109/SBAC-PADW69789.2025.00029 (Fonte: oaDOI API)
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