Encontrados 42 documentos, a visualizar página 1 de 5
Machine learning methods for detecting smart contracts vulnerabilities within E...
Crisóstomo, João; Bação, Fernando; Lobo, VictorCrisóstomo, J., Bação, F., & Lobo, V. (2025). Machine learning methods for detecting smart contracts vulnerabilities within Ethereum blockchain: A review. Expert Systems with Applications, 268, 1-16. Article 126353. https://doi.org/10.1016/j.eswa.2024.126353 --- %ABS1%; This paper presents a comprehensive exploration of the intersection between machine learning and smart contract vulnerabilities on the Ethereum...
Precise detection of structural variations in wheat genomes based on deep learning
Li, Yanling; Dong, Zijing; Li, Yuhong; Bação, Fernando; Zhao, Yuyang; Si, HaipingLi, Y., Dong, Z., Li, Y., Bação, F., Zhao, Y., & Si, H. (2025). Precise detection of structural variations in wheat genomes based on deep learning. International Journal for Housing Science and Its Applications, 46(4), 5768-5780. https://doi.org/10.70517/ijhsa464415 --- 1. Research and Application of Key Technologies for Agricultural Knowledge Intelligent Services Integrating Largescale Models and Knowledge Gra...
Research on Structural Variation Detection Methods of Wheat Genome Based on Dee...
Shi, Haiping; Li, Yanling; Dong, Zijing; Li, Yuhong; Bação, FernandoShi, H., Li, Y., Dong, Z., Li, Y., & Bação, F. (2025). Research on Structural Variation Detection Methods of Wheat Genome Based on Deep Learning. Journal of Combinatorial Mathematics and Combinatorial Computing, 127b, 7229-7244. https://doi.org/10.61091/jcmcc127b-394 --- 1) Research on common key technologies of new germplasm resources creation based on artificial intelligence. Project type: Key Research and De...
Weighted adaptive active transfer learning for imbalanced multi-object classifi...
Mannem, Karunakar Reddy; Prieto, Samuel A.; Soto, Borja García de; Bação, FernandoMannem, K. R., Prieto, S. A., Soto, B. G. D., & Bação, F. (2025). Weighted adaptive active transfer learning for imbalanced multi-object classification in construction site imagery. Automation In Construction, 176, Article 106297. https://doi.org/10.1016/j.autcon.2025.106297 --- This research benefited from utilizing resources available at the Core Technology Platforms (CTP) of New York University Abu Dhabi (NY...
Unveiling legal complexity
Mentzingen, Hugo; António, Nuno; Bação, FernandoMentzingen, H., António, N., & Bação, F. (2025). Unveiling legal complexity: a systematic review on the visual analytics of legal corpora. International Review of Law, Computers & Technology, 1-36. https://doi.org/10.1080/13600869.2025.2497630 --- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152/2020 (DOI: 10.54499/UIDB/04152/2020) - ...
Effectiveness in Retrieving Legal Precedents
Mentzingen, Hugo; António, Nuno; Bação, FernandoMentzingen, H., António, N., & Bação, F. (2025). Effectiveness in Retrieving Legal Precedents: Exploring Text Summarization and Cutting-Edge Language Models Toward a Cost-Efficient Approach. Artificial Intelligence and Law. https://doi.org/10.1007/s10506-025-09440-2 --- The authors acknowledge Brazil's Superintendency of Private Insurance for supporting and providing data for this work. This work was supported ...
BDMFuse
Si, Hai-Ping; Zhao, Wen-Rui; Li, Ting-Ting; Li, Fei-Tao; Bação, Fernando; Sun, Chang-Xia; Li, Yan-LingSi, H-P., Zhao, W-R., Li, T-T., Li, F-T., Bação, F., Sun, C-X., & Li, Y-L. (2025). BDMFuse: Multi-scale network fusion for infrared and visible images based on base and detail features. Journal of Infrared and Millimeter Waves (Hongwai Yu Haomibo Xuebao), 44(2), 275-284. https://doi.org/10.11972/j.issn.1001-9014.2025.02.016 --- Supported by the Henan Province Key Research and Development Project（231111211300，th...
Using genetic programming to improve data collection for offline reinforcement ...
Halder, David; Douzas, Georgios; Bação, FernandoHalder, D., Douzas, G., & Bação, F. (2025). Using genetic programming to improve data collection for offline reinforcement learning. Swarm and Evolutionary Computation, 99, Article 102140. https://doi.org/10.1016/j.swevo.2025.102140 --- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152 - Centro de Investigação em Gestão de Informação (...
E-Commerce Fraud Detection Based on Machine Learning Techniques
Mutemi, Abed; Bação, FernandoMutemi, A., & Bação, F. (2024). E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review. Big Data Mining and Analytics, 7(2), 419-444. https://doi.org/10.26599/BDMA.2023.9020023; The e-commerce industry's rapid growth, accelerated by the COVID-19 pandemic, has led to an alarming increase in digital fraud and associated losses. To establish a healthy e-commerce ecosystem, ro...
Triplet extraction leveraging sentence transformers and dependency parsing
Ottersen, Stuart Gallina; Pinheiro, Flávio; Bação, FernandoOttersen, S. G., Pinheiro, F., & Bação, F. (2024). Triplet extraction leveraging sentence transformers and dependency parsing. Array, 21(March), [100334]. https://doi.org/10.1016/j.array.2023.100334 --- This work was support by a grant of the Portuguese Foundation for Science and Technology (“Fundação para a ciência e tecnologia”), DSAPIA/DS/0116/2019, and project UIDB/04152/2020- Centro de investigação em Gest...