Phuong T. Nguyen

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 23

Top Topics

Activity Recognition

Software Engineering

Top Venues

Publications

Trong-Tuan Nguyen, Van-Dat Thang, Nguyen Van Thin, Phuong T. Nguyen
SGD method for entropy error function with smoothing l0 regularization for neural networks. CoRR (2024)
Trong-Tuan Nguyen, Van-Dat Thang, Van Thin Nguyen, Phuong T. Nguyen
regularization for neural networks. Appl. Intell. 54 (13-14) (2024)
Linh T. Duong, Toan Bao Tran, Nhi H. Le, Vuong M. Ngo, Phuong T. Nguyen
Automatic detection of weeds: synergy between EfficientNet and transfer learning to enhance the prediction accuracy. Soft Comput. 28 (6) (2024)
Yen-Trang Dang, Thanh Le-Cong, Phuc-Thanh Nguyen, Anh M. T. Bui, Phuong T. Nguyen, Bach Le, Quyet-Thang Huynh
LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss. EASE (2024)
Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Massimiliano Di Penta
GPTSniffer: A CodeBERT-based classifier to detect source code written by ChatGPT. J. Syst. Softw. 214 (2024)
Michael Dubem Igbomezie, Phuong T. Nguyen, Davide Di Ruscio
When simplicity meets effectiveness: Detecting code comments coherence with word embeddings and LSTM. CoRR (2024)
Claudio Di Sipio, Riccardo Rubei, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen
Automated categorization of pre-trained models for software engineering: A case study with a Hugging Face dataset. CoRR (2024)
Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen
LEV4REC: A feature-based approach to engineering RSSEs. J. Comput. Lang. 78 (2024)
Duc Anh Le, Anh M. T. Bui, Phuong T. Nguyen, Davide Di Ruscio
Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking. CoRR (2024)
Davide Di Ruscio, Paola Inverardi, Patrizio Migliarini, Phuong T. Nguyen
Leveraging privacy profiles to empower users in the digital society. Autom. Softw. Eng. 31 (1) (2024)
Michael Dubem Igbomezie, Phuong T. Nguyen, Davide Di Ruscio
When simplicity meets effectiveness: Detecting code comments coherence with word embeddings and LSTM. EASE (2024)
Yen-Trang Dang, Thanh Le-Cong, Phuc-Thanh Nguyen, Anh M. T. Bui, Phuong T. Nguyen, Bach Le, Quyet-Thang Huynh
LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss. CoRR (2024)
Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Mudita Shakya, Davide Di Ruscio, Massimiliano Di Penta
Automatic Categorization of GitHub Actions with Transformers and Few-shot Learning. CoRR (2024)
Claudio Di Sipio, Riccardo Rubei, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen
Automated categorization of pre-trained models in software engineering: A case study with a Hugging Face dataset. EASE (2024)
Anh Ho, Anh M. T. Bui, Phuong T. Nguyen, Amleto Di Salle
Fusion of deep convolutional and LSTM recurrent neural networks for automated detection of code smells. EASE (2023)
Thu Thu Ha Doan, Phuong T. Nguyen, Juri Di Rocco, Davide Di Ruscio
Too long; didn't read: Automatic summarization of GitHub README.MD with Transformers. EASE (2023)
Phuong T. Nguyen, Riccardo Rubei, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta
Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We? CoRR (2023)
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong T. Nguyen, Riccardo Rubei
HybridRec: A recommender system for tagging GitHub repositories. Appl. Intell. 53 (8) (2023)
Linh T. Duong, Thi Thu Ha Doan, Cong Q. Chu, Phuong T. Nguyen
Fusion of edge detection and graph neural networks to classifying electrocardiogram signals. Expert Syst. Appl. 225 (2023)
Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Massimiliano Di Penta
Is this Snippet Written by ChatGPT? An Empirical Study with a CodeBERT-Based Classifier. CoRR (2023)
Jonas Schulz, Hristina Radak, Phuong T. Nguyen, Giang T. Nguyen, Frank H. P. Fitzek
On the Limits of Lossy Compression for Human Activity Recognition in Sensor Networks. LCN (2023)
Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen
MORGAN: a modeling recommender system based on graph kernel. Softw. Syst. Model. 22 (5) (2023)
Phuong T. Nguyen, Riccardo Rubei, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta
Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We? MSR (2023)