Bernardete Martins Ribeiro


AuthID: R-000-2R1

Publicações Confirmadas: 390



1
TÍTULO: SecFL - Secure Federated Learning Framework for predicting defects in sheet metal forming under variability
AUTORES: Mario Dib; Pedro A Prates; Bernardete Ribeiro ;
PUBLICAÇÃO: 2024, FONTE: Expert Syst. Appl., VOLUME: 235
INDEXADO EM: DBLP
NO MEU: DBLP
2
TÍTULO: A human-centric approach to aid in assessing maintenance from the sustainable manufacturing perspective
AUTORES: José Carlos Almeida; Bernardete Ribeiro ; Alberto Cardoso ;
PUBLICAÇÃO: 2023, FONTE: 14th International Conference on Ambient Systems, Networks and Technologies Networks, ANT 2023 and The 6th International Conference on Emerging Data and Industry 4.0, EDI40 2023 in The 14th International Conference on Ambient Systems, Networks and Technologies (ANT 2023) / The 6th International Conference on Emerging Data and Industry 4.0 (EDI40 2023) / Affiliated Workshops, March 15-17, 2023, Leuven, Belgium, VOLUME: 220
INDEXADO EM: Scopus DBLP
NO MEU: DBLP
3
TÍTULO: Edge Computing with Low-Cost Cameras for Object Detection in Smart Farming
AUTORES: Bruno Cardoso; Catarina Silva ; Joana Costa; Bernardete Ribeiro ;
PUBLICAÇÃO: 2023, FONTE: 3rd International Conference on Intelligent Edge Processing in the IoT Era, Edge-IoT 2022, and the 4th International Conference on Smart Governance for Sustainable Smart Cities, SmartGov 2022 in Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, VOLUME: 510 LNICST
INDEXADO EM: Scopus CrossRef: 1
NO MEU: ORCID
4
TÍTULO: Enhancing Pest Detection Models Through Improved Annotations
AUTORES: Dinis Costa; Catarina Silva; Joana Cósta; Bernardete Ribeiro ;
PUBLICAÇÃO: 2023, FONTE: Progress in Artificial Intelligence - 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5-8, 2023, Proceedings, Part II, VOLUME: 14116
INDEXADO EM: DBLP
NO MEU: DBLP
5
TÍTULO: Few-shot learning via graph embeddings with convolutional networks for low-data molecular property prediction  Full Text
AUTORES: Torres, Luis; Arrais, Joel P.; Bernardete Ribeiro ;
PUBLICAÇÃO: 2023, FONTE: NEURAL COMPUTING & APPLICATIONS, VOLUME: 35, NÚMERO: 18
INDEXADO EM: Scopus WOS DBLP
NO MEU: DBLP
6
TÍTULO: Few-shot learning with transformers via graph embeddings for molecular property prediction
AUTORES: Luis H M Torres; Bernardete Ribeiro ; Joel P Arrais;
PUBLICAÇÃO: 2023, FONTE: Expert Syst. Appl., VOLUME: 225
INDEXADO EM: DBLP
NO MEU: DBLP
7
TÍTULO: Forecasting Functional Time Series Using Federated Learning
AUTORES: Raúl Llasag Rosero; Catarina Silva; Bernardete Ribeiro ;
PUBLICAÇÃO: 2023, FONTE: Engineering Applications of Neural Networks - 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14-17, 2023, Proceedings, VOLUME: 1826
INDEXADO EM: DBLP
8
TÍTULO: Improving Pest Detection via Transfer Learning
AUTORES: Dinis Costa; Catarina Silva; Joana Cósta; Bernardete Ribeiro ;
PUBLICAÇÃO: 2023, FONTE: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 26th Iberoamerican Congress, CIARP 2023, Coimbra, Portugal, November 27-30, 2023, Proceedings, Part II, VOLUME: 14470
INDEXADO EM: DBLP
NO MEU: DBLP
9
TÍTULO: On the Quantization of Recurrent Neural Networks for Smiles Generation
AUTORES: Adriano Durao; Joel P Arrais; Bernardete Ribeiro ; Gabriel Falcao;
PUBLICAÇÃO: 2023, FONTE: 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023 in IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023, VOLUME: 2023-June
INDEXADO EM: Scopus DBLP
NO MEU: DBLP
10
TÍTULO: Optimizing Object Detection Models via Active Learning
AUTORES: Dinis Costa; Catarina Silva; Joana Cósta; Bernardete Ribeiro ;
PUBLICAÇÃO: 2023, FONTE: Pattern Recognition and Image Analysis - 11th Iberian Conference, IbPRIA 2023, Alicante, Spain, June 27-30, 2023, Proceedings, VOLUME: 14062
INDEXADO EM: DBLP
NO MEU: DBLP
Página 1 de 39. Total de resultados: 390.

Um espaço para investigadores e suas Instituições

Links Úteis

Ajuda

© 2024 CRACS & Inesc TEC - All Rights Reserved Política de Privacidade | Terms of Service