Performance Comparison of some Message Transport Protocol Implementations for Agent Community Communication. - Phuong T. Nguyen 001; Volkmar Schau; Wilhelm R. Rossak (IICS, 2011)

An adaptive communication model for mobile agents in highly dynamic networks based on forming flexible regions via swarming behabiour. - Phuong Thanh Nguyen 001 (2012)

Building Consensus in Context-Aware Systems Using Ben-Or's Algorithm: Some Proposals for Improving the Convergence Speed. - Phuong T. Nguyen 001 (ICCASA, 2013)

A Context-Aware Model for the Management of Agent Platforms in Dynamic Networks. - Phuong T. Nguyen 001; Volkmar Schau; Wilhelm R. Rossak (ICCASA, 2013)

A Context-Aware Traffic Engineering Model for Software-Defined Networks. - Phuong T. Nguyen 001; Hong Anh Le; Thomas Zinner (ICTCC, 2014)

Mobile Agent Communication in Highly Dynamic Networks: A Self-Adaptive Architecture inspired by the Honey Bee Colony. - Phuong T. Nguyen 001; Volkmar Schau; Wilhelm R. Rossak (EAI Endorsed Trans. Context aware Syst. Appl., 2014)

Finding Similar Artists from the Web of Data: A PageRank Based Semantic Similarity Metric. - Phuong T. Nguyen 001; Hong Anh Le (FDSE, 2015)

Content-Based Recommendations via DBpedia and Freebase: A Case Study in the Music Domain. - Phuong T. Nguyen 001; Paolo Tomeo; Tommaso Di Noia; Eugenio Di Sciascio (ISWC (1), 2015)

An evaluation of SimRank and Personalized PageRank to build a recommender system for the Web of Data. - Phuong T. Nguyen 001; Paolo Tomeo; Tommaso Di Noia; Eugenio Di Sciascio (WWW (Companion Volume), 2015)

Modification to K-Medoids and CLARA for Effective Document Clustering. - Phuong T. Nguyen 001; Kai Eckert 001; Azzurra Ragone; Tommaso Di Noia (ISMIS, 2017)

CrossSim: Exploiting Mutual Relationships to Detect Similar OSS Projects. - Phuong Thanh Nguyen 001; Juri Di Rocco; Riccardo Rubei; Davide Di Ruscio (SEAA, 2018)

Mining Software Repositories to Support OSS Developers: A Recommender Systems Approach. - Phuong Thanh Nguyen 001; Juri Di Rocco; Davide Di Ruscio (IIR, 2018)

Knowledge-aware Recommender System for Software Development. - Phuong Thanh Nguyen 001; Juri Di Rocco; Davide Di Ruscio (KaRS@RecSys, 2018)

Building Information Systems Using Collaborative-Filtering Recommendation Techniques. - Phuong Thanh Nguyen 001; Juri Di Rocco; Davide Di Ruscio (CAiSE Workshops, 2019)

Enabling heterogeneous recommendations in OSS development: what's done and what's next in CROSSMINER. - Phuong Thanh Nguyen 001; Juri Di Rocco; Davide Di Ruscio (EASE, 2019)

FOCUS: a recommender system for mining API function calls and usage patterns. - Phuong Thanh Nguyen 001; Juri Di Rocco; Davide Di Ruscio; Lina Ochoa; Thomas Degueule; Massimiliano Di Penta (ICSE, 2019)

Automated Classification of Metamodel Repositories: A Machine Learning Approach. - Phuong Thanh Nguyen 001; Juri Di Rocco; Davide Di Ruscio; Alfonso Pierantonio; Ludovico Iovino (MoDELS, 2019)

A Multinomial Naïve Bayesian (MNB) Network to Automatically Recommend Topics for GitHub Repositories. - Claudio Di Sipio; Riccardo Rubei; Davide Di Ruscio; Phuong Thanh Nguyen 001 (EASE, 2020)

TopFilter: An Approach to Recommend Relevant GitHub Topics. - Juri Di Rocco; Davide Di Ruscio; Claudio Di Sipio; Phuong Thanh Nguyen 001; Riccardo Rubei (ESEM, 2020)

An extensible tool-chain for analyzing datasets of metamodels. - Angela Barriga; Davide Di Ruscio; Ludovico Iovino; Phuong Thanh Nguyen 001; Alfonso Pierantonio (MoDELS (Companion), 2020)

Democratizing the development of recommender systems by means of low-code platforms. - Claudio Di Sipio; Davide Di Ruscio; Phuong Thanh Nguyen 001 (MoDELS (Companion), 2020)

Automated fruit recognition using EfficientNet and MixNet. - Linh T. Duong; Phuong Thanh Nguyen 001; Claudio Di Sipio; Davide Di Ruscio (Comput. Electron. Agric., 2020)

Detecting Java software similarities by using different clustering techniques. - Andrea Capiluppi; Davide Di Ruscio; Juri Di Rocco; Phuong Thanh Nguyen 001; Nemitari Ajienka (Inf. Softw. Technol., 2020)

PostFinder: Mining Stack Overflow posts to support software developers. - Riccardo Rubei; Claudio Di Sipio; Phuong Thanh Nguyen 001; Juri Di Rocco; Davide Di Ruscio (Inf. Softw. Technol., 2020)

CrossRec: Supporting software developers by recommending third-party libraries. - Phuong Thanh Nguyen 001; Juri Di Rocco; Davide Di Ruscio; Massimiliano Di Penta (J. Syst. Softw., 2020)

An automated approach to assess the similarity of GitHub repositories. - Phuong Thanh Nguyen 001; Juri Di Rocco; Riccardo Rubei; Davide Di Ruscio (Softw. Qual. J., 2020)

MDEGroup/memoCNN: JSS - Convolutional neural networks for enhanced classification mechanisms of metamodels. - Phuong T. Nguyen 001; Davide Di Ruscio; Alfonso Pierantonio; Juri Di Rocco; Ludovico Iovino (Zenodo, 2020)

Adversarial Machine Learning: On the Resilience of Third-party Library Recommender Systems. - Phuong Thanh Nguyen 001; Davide Di Ruscio; Juri Di Rocco; Claudio Di Sipio; Massimiliano Di Penta (EASE, 2021)

Recommending Third-party Library Updates with LSTM Neural Networks. - Phuong Thanh Nguyen 001; Juri Di Rocco; Riccardo Rubei; Claudio Di Sipio; Davide Di Ruscio (IIR, 2021)

Adversarial Attacks to API Recommender Systems: Time to Wake Up and Smell the Coffeeƒ. - Phuong T. Nguyen 001; Claudio Di Sipio; Juri Di Rocco; Massimiliano Di Penta; Davide Di Ruscio (ASE, 2021)

A GNN-based Recommender System to Assist the Specification of Metamodels and Models. - Juri Di Rocco; Claudio Di Sipio; Davide Di Ruscio; Phuong Thanh Nguyen 001 (MoDELS, 2021)

A Lightweight Approach for the Automated Classification and Clustering of Metamodels. - Riccardo Rubei; Juri Di Rocco; Davide Di Ruscio; Phuong T. Nguyen 001; Alfonso Pierantonio (MoDELS (Companion), 2021)

On the Need for a Body of Knowledge on Recommender Systems (Short paper). - Juri Di Rocco; Davide Di Ruscio; Claudio Di Sipio; Phuong Thanh Nguyen 001; Claudio Pomo (KaRS/ComplexRec@RecSys, 2021)

A Low-Code Tool Supporting the Development of Recommender Systems. - Claudio Di Sipio; Juri Di Rocco; Davide Di Ruscio; Phuong Thanh Nguyen 001 (RecSys, 2021)

Development of recommendation systems for software engineering: the CROSSMINER experience. - Juri Di Rocco; Davide Di Ruscio; Claudio Di Sipio; Phuong Thanh Nguyen 001; Riccardo Rubei (Empir. Softw. Eng., 2021)

Detection of tuberculosis from chest X-ray images: Boosting the performance with vision transformer and transfer learning. - Linh T. Duong; Nhi H. Le; Toan Bao Tran; Vuong M. Ngo; Phuong T. Nguyen 001 (Expert Syst. Appl., 2021)

An Efficient Classification Algorithm for Traditional Textile Patterns from Different Cultures Based on Structures. - Vuong M. Ngo; Thuy-Van T. Duong; Tat-Bao-Thien Nguyen; Phuong T. Nguyen 001; Owen Conlan (ACM Journal on Computing and Cultural Heritage, 2021)

Convolutional neural networks for enhanced classification mechanisms of metamodels. - Phuong Thanh Nguyen 001; Davide Di Ruscio; Alfonso Pierantonio; Juri Di Rocco; Ludovico Iovino (J. Syst. Softw., 2021)

Evaluation of a machine learning classifier for metamodels. - Phuong Thanh Nguyen 001; Juri Di Rocco; Ludovico Iovino; Davide Di Ruscio; Alfonso Pierantonio (Softw. Syst. Model., 2021)

Correction to: Evaluation of a machine learning classifier for metamodels. - Phuong Thanh Nguyen 001; Juri Di Rocco; Ludovico Iovino; Davide Di Ruscio; Alfonso Pierantonio (Softw. Syst. Model., 2021)

Unavailable Transit Feed Specification: Making It Available With Recurrent Neural Networks. - Ludovico Iovino; Phuong Thanh Nguyen 001; Amleto Di Salle; Francesco Gallo; Michele Flammini (IEEE Trans. Intell. Transp. Syst., 2021)

crossminer/FOCUS: TSE Focus Replication package. - Phuong T. Nguyen 001; Juri Di Rocco; Claudio Di Sipio; Davide Di Ruscio; Massimiliano Di Penta (Zenodo, 2021)

PILOT: synergy between text processing and neural networks to detect self-admitted technical debt. - Amleto Di Salle; Alessandra Rota; Phuong T. Nguyen 001; Davide Di Ruscio; Francesca Arcelli Fontana; Irene Sala (TechDebt@ICSE, 2022)

Finding with NEMO: a recommender system to forecast the next modeling operations. - Juri Di Rocco; Claudio Di Sipio; Phuong T. Nguyen 001; Davide Di Ruscio; Alfonso Pierantonio (MoDELS, 2022)

Endowing third-party libraries recommender systems with explicit user feedback mechanisms. - Riccardo Rubei; Claudio Di Sipio; Juri Di Rocco; Davide Di Ruscio; Phuong T. Nguyen 001 (SANER, 2022)

Providing upgrade plans for third-party libraries: a recommender system using migration graphs. - Riccardo Rubei; Davide Di Ruscio; Claudio Di Sipio; Juri Di Rocco; Phuong T. Nguyen 001 (Appl. Intell., 2022)

DeepLib: Machine translation techniques to recommend upgrades for third-party libraries. - Phuong T. Nguyen 001; Juri Di Rocco; Riccardo Rubei; Claudio Di Sipio; Davide Di Ruscio (Expert Syst. Appl., 2022)

Recommending API Function Calls and Code Snippets to Support Software Development. - Phuong T. Nguyen 001; Juri Di Rocco; Claudio Di Sipio; Davide Di Ruscio; Massimiliano Di Penta (IEEE Trans. Software Eng., 2022)

Too long; didn't read: Automatic summarization of GitHub README.MD with Transformers. - Thu Thu Ha Doan; Phuong T. Nguyen 001; Juri Di Rocco; Davide Di Ruscio (EASE, 2023)

Fusion of deep convolutional and LSTM recurrent neural networks for automated detection of code smells. - Anh Ho; Anh M. T. Bui; Phuong T. Nguyen 001; Amleto Di Salle (EASE, 2023)

On the Limits of Lossy Compression for Human Activity Recognition in Sensor Networks. - Jonas Schulz; Hristina Radak; Phuong T. Nguyen 001; Giang T. Nguyen 002; Frank H. P. Fitzek (LCN, 2023)

Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We? - Phuong T. Nguyen 001; Riccardo Rubei; Juri Di Rocco; Claudio Di Sipio; Davide Di Ruscio; Massimiliano Di Penta (MSR, 2023)

Automatic detection of Covid-19 from chest X-ray and lung computed tomography images using deep neural networks and transfer learning. - Linh T. Duong; Phuong T. Nguyen 001; Ludovico Iovino; Michele Flammini (Appl. Soft Comput., 2023)

Is this Snippet Written by ChatGPT? An Empirical Study with a CodeBERT-Based Classifier. - Phuong T. Nguyen 001; Juri Di Rocco; Claudio Di Sipio; Riccardo Rubei; Davide Di Ruscio; Massimiliano Di Penta (CoRR, 2023)

Edge detection and graph neural networks to classify mammograms: A case study with a dataset from Vietnamese patients. - Linh T. Duong; Cong Q. Chu; Phuong T. Nguyen 001; Son T. Nguyen; Binh Q. Tran (Appl. Soft Comput., 2023)

MemoRec: a recommender system for assisting modelers in specifying metamodels. - Juri Di Rocco; Davide Di Ruscio; Claudio Di Sipio; Phuong T. Nguyen 001; Alfonso Pierantonio (Softw. Syst. Model., 2023)

HybridRec: A recommender system for tagging GitHub repositories. - Juri Di Rocco; Davide Di Ruscio; Claudio Di Sipio; Phuong T. Nguyen 001; Riccardo Rubei (Appl. Intell., 2023)

Fitting missing API puzzles with machine translation techniques. - Phuong T. Nguyen 001; Claudio Di Sipio; Juri Di Rocco; Davide Di Ruscio; Massimiliano Di Penta (Expert Syst. Appl., 2023)

Fusion of edge detection and graph neural networks to classifying electrocardiogram signals. - Linh T. Duong; Thi Thu Ha Doan; Cong Q. Chu; Phuong T. Nguyen 001 (Expert Syst. Appl., 2023)

MORGAN: a modeling recommender system based on graph kernel. - Claudio Di Sipio; Juri Di Rocco; Davide Di Ruscio; Phuong T. Nguyen 001 (Softw. Syst. Model., 2023)

GItome: a curated dataset for README summarization. - Juri Di Rocco; Davide Di Ruscio; Claudio Di Sipio; Phuong Thanh Nguyen 001; Riccardo Rubei (Zenodo, 2023)

Gitome: A curated dataset for GitHub README-related tasks. - Claudio Di Sipio; Juri Di Rocco; Riccardo Rubei; Phuong Thanh Nguyen 001; Davide Di Ruscio (Zenodo, 2023)

LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss. - Yen-Trang Dang; Thanh Le-Cong; Phuc-Thanh Nguyen; Anh M. T. Bui; Phuong T. Nguyen 001; Bach Le 001; Quyet-Thang Huynh (EASE, 2024)

When simplicity meets effectiveness: Detecting code comments coherence with word embeddings and LSTM. - Michael Dubem Igbomezie; Phuong T. Nguyen 001; Davide Di Ruscio (EASE, 2024)

Automated categorization of pre-trained models in software engineering: A case study with a Hugging Face dataset. - Claudio Di Sipio; Riccardo Rubei; Juri Di Rocco; Davide Di Ruscio; Phuong T. Nguyen 001 (EASE, 2024)

Automatic Categorization of GitHub Actions with Transformers and Few-shot Learning. - Phuong T. Nguyen 001; Juri Di Rocco; Claudio Di Sipio; Mudita Shakya; Davide Di Ruscio; Massimiliano Di Penta (ESEM, 2024)

Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking. - Duc Anh Le; Bui Thi Mai Anh; Phuong T. Nguyen 001; Davide Di Ruscio (ESEM, 2024)

SGD method for entropy error function with smoothing l0 regularization for neural networks. - Trong-Tuan Nguyen; Van-Dat Thang; Nguyen Van Thin; Phuong T. Nguyen 001 (CoRR, 2024)

Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking. - Duc Anh Le; Anh M. T. Bui; Phuong T. Nguyen 001; Davide Di Ruscio (CoRR, 2024)

Improving the detection of technical debt in Java source code with an enriched dataset. - Nam Le Hai; Anh M. T. Bui; Phuong T. Nguyen 001; Davide Di Ruscio; Rick Kazman (CoRR, 2024)

GPTSniffer: A CodeBERT-based classifier to detect source code written by ChatGPT. - Phuong T. Nguyen 001; Juri Di Rocco; Claudio Di Sipio; Riccardo Rubei; Davide Di Ruscio; Massimiliano Di Penta (J. Syst. Softw., 2024)

Automatic detection of weeds: synergy between EfficientNet and transfer learning to enhance the prediction accuracy. - Linh T. Duong; Toan Bao Tran; Nhi H. Le; Vuong M. Ngo; Phuong T. Nguyen 001 (Soft Comput., 2024)

LEV4REC: A feature-based approach to engineering RSSEs. - Claudio Di Sipio; Juri Di Rocco; Davide Di Ruscio; Phuong T. Nguyen 001 (J. Comput. Lang., 2024)

Leveraging privacy profiles to empower users in the digital society. - Davide Di Ruscio; Paola Inverardi; Patrizio Migliarini; Phuong T. Nguyen 001 (Autom. Softw. Eng., 2024)

SGD method for entropy error function with smoothing l0 regularization for neural networks. - Trong-Tuan Nguyen; Van-Dat Thang; Van Thin Nguyen; Phuong T. Nguyen 001 (Appl. Intell., 2024)

Exploring user privacy awareness on GitHub: an empirical study. - Costanza Alfieri; Juri Di Rocco; Paola Inverardi; Phuong T. Nguyen 001 (Empir. Softw. Eng., 2024)

Teamwork makes the dream work: LLMs-Based Agents for GitHub README.MD Summarization. - Duc S. H. Nguyen; Bach G. Truong; Phuong T. Nguyen 001; Juri Di Rocco; Davide Di Ruscio (SIGSOFT FSE Companion, 2025)

Binary and multi-class classification of Self-Admitted Technical Debt: How far can we go? - Francesca Arcelli Fontana; Juri Di Rocco; Davide Di Ruscio; Amleto Di Salle; Phuong T. Nguyen 001 (Inf. Softw. Technol., 2025)

DeepMig: A transformer-based approach to support coupled library and code migrations. - Juri Di Rocco; Phuong T. Nguyen 001; Claudio Di Sipio; Riccardo Rubei; Davide Di Ruscio; Massimiliano Di Penta (Inf. Softw. Technol., 2025)

EnseSmells : Deep ensemble and programming language models for automated code smells detection. - Anh Ho; Anh M. T. Bui; Phuong T. Nguyen 001; Amleto Di Salle; Bach Le 001 (J. Syst. Softw., 2025)

Detecting Malicious Source Code in PyPI Packages with LLMs: Does RAG Come in Handy? - Motunrayo Ibiyo; Thinakone Louangdy; Phuong T. Nguyen 001; Claudio Di Sipio; Davide Di Ruscio (CoRR, 2025)

Bake Two Cakes with One Oven: RL for Defusing Popularity Bias and Cold-start in Third-Party Library Recommendations. - Vuong Hoang Minh; Anh M. T. Bui; Phuong T. Nguyen 001; Davide Di Ruscio (CoRR, 2025)

Simplicity by Obfuscation: Evaluating LLM-Driven Code Transformation with Semantic Elasticity. - Lorenzo De Tomasi; Claudio Di Sipio; Antinisca Di Marco; Phuong T. Nguyen 001 (CoRR, 2025)

On the use of large language models in model-driven engineering. - Juri Di Rocco; Davide Di Ruscio; Claudio Di Sipio; Phuong T. Nguyen 001; Riccardo Rubei (Softw. Syst. Model., 2025)

When Retriever Meets Generator: A Joint Model for Code Comment Generation. - Tien P. T. Le; Anh M. T. Bui; Huy N. D. Pham; Alessio Bucaioni; Phuong T. Nguyen 001 (CoRR, 2025)

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells. - Samal Nursapa; Anastassiya Samuilova; Alessio Bucaioni; Phuong T. Nguyen 001 (CoRR, 2025)