NGUYEN, THANH PHUONG
NGUYEN, THANH PHUONG
Dipartimento di Ingegneria e scienze dell'informazione e matematica
Recognition of breast cancer from heterogeneous ultrasound images: A multi-level deep learning approach
2025-01-01 Duong, Linh T.; Doan, Thu T. H.; Bui, Anh M. T.; Nguyen, Phuong
Binary and multi-class classification of Self-Admitted Technical Debt: How far can we go?
2025-01-01 Arcelli Fontana, Francesca; Di Rocco, Juri; Di Ruscio, Davide; Di Salle, Amleto; Nguyen, Phuong
EnseSmells : Deep ensemble and programming language models for automated code smells detection
2025-01-01 Ho, Anh; Bui, Anh M. T.; Nguyen, Phuong; Di Salle, Amleto; Le, Bach
Teamwork makes the dream work: LLMs-Based Agents for GitHub README.MD Summarization
2025-01-01 Nguyen, Duc S. H.; Truong, Bach G.; Nguyen, Phuong; Di Rocco, Juri; Di Ruscio, Davide
DeepMig: A transformer-based approach to support coupled library and code migrations
2025-01-01 Di Rocco, Juri; Nguyen, Thanh Phuong; Di Sipio, Claudio; Rubei, Riccardo; Di Ruscio, Davide; Di Penta, Massimiliano
On the use of large language models in model-driven engineering
2025-01-01 Di Rocco, Juri; Di Ruscio, Davide; Di Sipio, Claudio; Nguyen, Thanh Phuong; Rubei, Riccardo
Exploring user privacy awareness on GitHub: an empirical study
2024-01-01 Alfieri, Costanza; Di Rocco, Juri; Inverardi, Paola; Nguyen, Phuong
Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking
2024-01-01 Le, Duc Anh; Thi-Mai-Anh, Bui; Nguyen, Phuong; Di Ruscio, Davide
Automatic Categorization of GitHub Actions with Transformers and Few-shot Learning
2024-01-01 Nguyen, Phuong; Di Rocco, Juri; Di Sipio, Claudio; Shakya, Mudita; Di Ruscio, Davide; Di Penta, Massimiliano
Automated categorization of pre-trained models in software engineering: A case study with a Hugging Face dataset
2024-01-01 Di Sipio, Claudio; Rubei, Riccardo; Di Rocco, Juri; Di Ruscio, Davide; Nguyen, Phuong
When simplicity meets effectiveness: Detecting code comments coherence with word embeddings and LSTM
2024-01-01 Igbomezie, Michael Dubem; Nguyen, Phuong; Di Ruscio, Davide
LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss
2024-01-01 Dang, Yen-Trang; Le-Cong, Thanh; Nguyen, Phuc-Thanh; Bui, Anh M. T.; Nguyen, Phuong; Le, Bach; Huynh, Quyet-Thang
SGD method for entropy error function with smoothing $$l_0$$ regularization for neural networks
2024-01-01 Nguyen, Trong-Tuan; Thang, Van-Dat; Nguyen, Van ; Thin, ; Nguyen, Phuong
GPTSniffer: A CodeBERT-based classifier to detect source code written by ChatGPT
2024-01-01 Nguyen, Phuong; Di Rocco, Juri; Di Sipio, Claudio; Rubei, Riccardo; Di Ruscio, Davide; Di Penta, Massimiliano
LEV4REC: A feature-based approach to engineering RSSEs
2024-01-01 Di Sipio, C.; Di Rocco, J.; Di Ruscio, D.; Nguyen, THANH PHUONG
Programming with ChatGPT: How far can we go?
2024-01-01 Bucaioni, Alessio; Ekedahl, Hampus; Helander, Vilma; Nguyen, Phuong
Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We?
2023-01-01 Nguyen, Phuong; Rubei, Riccardo; Di Rocco, Juri; Di Sipio, Claudio; Di Ruscio, Davide; Di Penta, Massimiliano
MORGAN: a modeling recommender system based on graph kernel
2023-01-01 Di Sipio, C; Di Rocco, J; Di Ruscio, D; Nguyen, Phuong
On the Limits of Lossy Compression for Human Activity Recognition in Sensor Networks
2023-01-01 Schulz, Jonas; Radak, Hristina; Nguyen, Phuong; Nguyen, Giang T.; Fitzek, Frank H. P.
Edge detection and graph neural networks to classify mammograms: A case study with a dataset from Vietnamese patients
2023-01-01 Duong, Linh T.; Chu, Cong Q.; Nguyen, Phuong Thanh; Nguyen, Son T.; Tran, Binh Q.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Recognition of breast cancer from heterogeneous ultrasound images: A multi-level deep learning approach | 1-gen-2025 | Duong, Linh T.; Doan, Thu T. H.; Bui, Anh M. T.; Nguyen, Phuong | |
| Binary and multi-class classification of Self-Admitted Technical Debt: How far can we go? | 1-gen-2025 | Arcelli Fontana, Francesca; Di Rocco, Juri; Di Ruscio, Davide; Di Salle, Amleto; Nguyen, Phuong | |
| EnseSmells : Deep ensemble and programming language models for automated code smells detection | 1-gen-2025 | Ho, Anh; Bui, Anh M. T.; Nguyen, Phuong; Di Salle, Amleto; Le, Bach | |
| Teamwork makes the dream work: LLMs-Based Agents for GitHub README.MD Summarization | 1-gen-2025 | Nguyen, Duc S. H.; Truong, Bach G.; Nguyen, Phuong; Di Rocco, Juri; Di Ruscio, Davide | |
| DeepMig: A transformer-based approach to support coupled library and code migrations | 1-gen-2025 | Di Rocco, Juri; Nguyen, Thanh Phuong; Di Sipio, Claudio; Rubei, Riccardo; Di Ruscio, Davide; Di Penta, Massimiliano | |
| On the use of large language models in model-driven engineering | 1-gen-2025 | Di Rocco, Juri; Di Ruscio, Davide; Di Sipio, Claudio; Nguyen, Thanh Phuong; Rubei, Riccardo | |
| Exploring user privacy awareness on GitHub: an empirical study | 1-gen-2024 | Alfieri, Costanza; Di Rocco, Juri; Inverardi, Paola; Nguyen, Phuong | |
| Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking | 1-gen-2024 | Le, Duc Anh; Thi-Mai-Anh, Bui; Nguyen, Phuong; Di Ruscio, Davide | |
| Automatic Categorization of GitHub Actions with Transformers and Few-shot Learning | 1-gen-2024 | Nguyen, Phuong; Di Rocco, Juri; Di Sipio, Claudio; Shakya, Mudita; Di Ruscio, Davide; Di Penta, Massimiliano | |
| Automated categorization of pre-trained models in software engineering: A case study with a Hugging Face dataset | 1-gen-2024 | Di Sipio, Claudio; Rubei, Riccardo; Di Rocco, Juri; Di Ruscio, Davide; Nguyen, Phuong | |
| When simplicity meets effectiveness: Detecting code comments coherence with word embeddings and LSTM | 1-gen-2024 | Igbomezie, Michael Dubem; Nguyen, Phuong; Di Ruscio, Davide | |
| LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss | 1-gen-2024 | Dang, Yen-Trang; Le-Cong, Thanh; Nguyen, Phuc-Thanh; Bui, Anh M. T.; Nguyen, Phuong; Le, Bach; Huynh, Quyet-Thang | |
| SGD method for entropy error function with smoothing $$l_0$$ regularization for neural networks | 1-gen-2024 | Nguyen, Trong-Tuan; Thang, Van-Dat; Nguyen, Van ; Thin, ; Nguyen, Phuong | |
| GPTSniffer: A CodeBERT-based classifier to detect source code written by ChatGPT | 1-gen-2024 | Nguyen, Phuong; Di Rocco, Juri; Di Sipio, Claudio; Rubei, Riccardo; Di Ruscio, Davide; Di Penta, Massimiliano | |
| LEV4REC: A feature-based approach to engineering RSSEs | 1-gen-2024 | Di Sipio, C.; Di Rocco, J.; Di Ruscio, D.; Nguyen, THANH PHUONG | |
| Programming with ChatGPT: How far can we go? | 1-gen-2024 | Bucaioni, Alessio; Ekedahl, Hampus; Helander, Vilma; Nguyen, Phuong | |
| Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We? | 1-gen-2023 | Nguyen, Phuong; Rubei, Riccardo; Di Rocco, Juri; Di Sipio, Claudio; Di Ruscio, Davide; Di Penta, Massimiliano | |
| MORGAN: a modeling recommender system based on graph kernel | 1-gen-2023 | Di Sipio, C; Di Rocco, J; Di Ruscio, D; Nguyen, Phuong | |
| On the Limits of Lossy Compression for Human Activity Recognition in Sensor Networks | 1-gen-2023 | Schulz, Jonas; Radak, Hristina; Nguyen, Phuong; Nguyen, Giang T.; Fitzek, Frank H. P. | |
| Edge detection and graph neural networks to classify mammograms: A case study with a dataset from Vietnamese patients | 1-gen-2023 | Duong, Linh T.; Chu, Cong Q.; Nguyen, Phuong Thanh; Nguyen, Son T.; Tran, Binh Q. |