Gomez-Barrera, D. F., Becerra, L. R., Roncancio, J. P., Almanza, D. O., Arboleda, J., Linares-Vasquez, M., & Manrique, R. F. (2024, April 20). Lessons from the NLBSE 2024 Competition: Towards Building Efficient Models for GitHub Issue Classification. 2024 IEEE/ACM International Workshop on Natural Language-Based Software Engineering (NLBSE), 45-48. https://doi.org/10.1145/3643787.3648040
Citácia podle Chicago (17th ed.)Gomez-Barrera, Daniel Fernando, Luccas Rojas Becerra, Juan Pinzon Roncancio, David Ortiz Almanza, Juan Arboleda, Mario Linares-Vasquez, a Ruben Francisco Manrique. "Lessons from the NLBSE 2024 Competition: Towards Building Efficient Models for GitHub Issue Classification." 2024 IEEE/ACM International Workshop on Natural Language-Based Software Engineering (NLBSE) 20 Apr. 2024: 45-48. https://doi.org/10.1145/3643787.3648040.
Citácia podľa MLA (8th ed.)Gomez-Barrera, Daniel Fernando, et al. "Lessons from the NLBSE 2024 Competition: Towards Building Efficient Models for GitHub Issue Classification." 2024 IEEE/ACM International Workshop on Natural Language-Based Software Engineering (NLBSE), 20 Apr. 2024, pp. 45-48, https://doi.org/10.1145/3643787.3648040.