Miguel
@miguelgrdotcom.bsky.social
Associate Professor at the Computer Science Department of the www.uniovi.es
Fantastic work! Congratulations on this great publication!
March 14, 2025 at 9:45 AM
Fantastic work! Congratulations on this great publication!
Reposted by Miguel
PlangRec is a character-level deep-learning model that predicts the language of a line of code. It provides 95% accuracy and macro F1-score to classify 21 different languages, outperforming state-of-the-art systems for classifying code snippets.
doi.org/10.1016/j.fu...
doi.org/10.1016/j.fu...
Redirecting
doi.org
March 14, 2025 at 8:55 AM
PlangRec is a character-level deep-learning model that predicts the language of a line of code. It provides 95% accuracy and macro F1-score to classify 21 different languages, outperforming state-of-the-art systems for classifying code snippets.
doi.org/10.1016/j.fu...
doi.org/10.1016/j.fu...
Reposted by Miguel
CLAVE is a one-shot deep-learning model for source code authorship verification. Contrastive learning is used to learn stylometric representations. CLAVE outperforms the state-of-the-art systems with 0.9782 AUC.
doi.org/10.1016/j.ip...
doi.org/10.1016/j.ip...
Francisco Ortin on X: "CLAVE is a one-shot deep-learning model for source code authorship verification. Contrastive learning is used to learn stylometric representations. CLAVE outperforms the state-of-the-art systems with 0.9782 AUC. https://t.co/qjttIAFSQe" / X
CLAVE is a one-shot deep-learning model for source code authorship verification. Contrastive learning is used to learn stylometric representations. CLAVE outperforms the state-of-the-art systems with 0.9782 AUC. https://t.co/qjttIAFSQe
x.com
March 14, 2025 at 8:48 AM
CLAVE is a one-shot deep-learning model for source code authorship verification. Contrastive learning is used to learn stylometric representations. CLAVE outperforms the state-of-the-art systems with 0.9782 AUC.
doi.org/10.1016/j.ip...
doi.org/10.1016/j.ip...