Phuong T. Nguyen

Orcid: 0000-0002-3666-4162

Affiliations:
  • University of L'Aquila, Italy
  • Friedrich Schiller University Jena, Germany (former)


According to our database1, Phuong T. Nguyen authored at least 77 papers between 2011 and 2025.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
DeepMig: A transformer-based approach to support coupled library and code migrations.
Inf. Softw. Technol., 2025

2024
Exploring user privacy awareness on GitHub: an empirical study.
Empir. Softw. Eng., November, 2024

SGD method for entropy error function with smoothing l<sub>0</sub> regularization for neural networks.
Appl. Intell., July, 2024

Leveraging privacy profiles to empower users in the digital society.
Autom. Softw. Eng., June, 2024

LEV4REC: A feature-based approach to engineering RSSEs.
J. Comput. Lang., March, 2024

Automatic detection of weeds: synergy between EfficientNet and transfer learning to enhance the prediction accuracy.
Soft Comput., March, 2024

GPTSniffer: A CodeBERT-based classifier to detect source code written by ChatGPT.
J. Syst. Softw., 2024

On the use of Large Language Models in Model-Driven Engineering.
CoRR, 2024

Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking.
CoRR, 2024

SGD method for entropy error function with smoothing l0 regularization for neural networks.
CoRR, 2024

Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking.
Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024

Automatic Categorization of GitHub Actions with Transformers and Few-shot Learning.
Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024

Automated categorization of pre-trained models in software engineering: A case study with a Hugging Face dataset.
Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024

When simplicity meets effectiveness: Detecting code comments coherence with word embeddings and LSTM.
Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024

LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss.
Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024

2023
Gitome: A curated dataset for GitHub README-related tasks.
Dataset, December, 2023

GItome: a curated dataset for README summarization.
Dataset, December, 2023

MORGAN: a modeling recommender system based on graph kernel.
Softw. Syst. Model., October, 2023

Fusion of edge detection and graph neural networks to classifying electrocardiogram signals.
Expert Syst. Appl., September, 2023

Fitting missing API puzzles with machine translation techniques.
Expert Syst. Appl., April, 2023

HybridRec: A recommender system for tagging GitHub repositories.
Appl. Intell., April, 2023

MemoRec: a recommender system for assisting modelers in specifying metamodels.
Softw. Syst. Model., February, 2023

Edge detection and graph neural networks to classify mammograms: A case study with a dataset from Vietnamese patients.
Appl. Soft Comput., February, 2023

Is this Snippet Written by ChatGPT? An Empirical Study with a CodeBERT-Based Classifier.
CoRR, 2023

Automatic detection of Covid-19 from chest X-ray and lung computed tomography images using deep neural networks and transfer learning.
Appl. Soft Comput., 2023

Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We?
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

On the Limits of Lossy Compression for Human Activity Recognition in Sensor Networks.
Proceedings of the 48th IEEE Conference on Local Computer Networks, 2023

Fusion of deep convolutional and LSTM recurrent neural networks for automated detection of code smells.
Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering, 2023

Too long; didn't read: Automatic summarization of GitHub README.MD with Transformers.
Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering, 2023

2022
Recommending API Function Calls and Code Snippets to Support Software Development.
IEEE Trans. Software Eng., 2022

DeepLib: Machine translation techniques to recommend upgrades for third-party libraries.
Expert Syst. Appl., 2022

Providing upgrade plans for third-party libraries: a recommender system using migration graphs.
Appl. Intell., 2022

Endowing third-party libraries recommender systems with explicit user feedback mechanisms.
Proceedings of the IEEE International Conference on Software Analysis, 2022

Finding with NEMO: a recommender system to forecast the next modeling operations.
Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems, 2022

PILOT: synergy between text processing and neural networks to detect self-admitted technical debt.
Proceedings of the TechDebt '22: International Conference on Technical Debt, 2022

2021
crossminer/FOCUS: TSE Focus Replication package.
Dataset, January, 2021

Unavailable Transit Feed Specification: Making It Available With Recurrent Neural Networks.
IEEE Trans. Intell. Transp. Syst., 2021

Correction to: Evaluation of a machine learning classifier for metamodels.
Softw. Syst. Model., 2021

Evaluation of a machine learning classifier for metamodels.
Softw. Syst. Model., 2021

Convolutional neural networks for enhanced classification mechanisms of metamodels.
J. Syst. Softw., 2021

An Efficient Classification Algorithm for Traditional Textile Patterns from Different Cultures Based on Structures.
ACM Journal on Computing and Cultural Heritage, 2021

Detection of tuberculosis from chest X-ray images: Boosting the performance with vision transformer and transfer learning.
Expert Syst. Appl., 2021

Development of recommendation systems for software engineering: the CROSSMINER experience.
Empir. Softw. Eng., 2021

A Low-Code Tool Supporting the Development of Recommender Systems.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

On the Need for a Body of Knowledge on Recommender Systems (Short paper).
Proceedings of the Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

A Lightweight Approach for the Automated Classification and Clustering of Metamodels.
Proceedings of the ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, 2021

A GNN-based Recommender System to Assist the Specification of Metamodels and Models.
Proceedings of the 24th International Conference on Model Driven Engineering Languages and Systems, 2021

Adversarial Attacks to API Recommender Systems: Time to Wake Up and Smell the Coffeeƒ.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Recommending Third-party Library Updates with LSTM Neural Networks.
Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

Adversarial Machine Learning: On the Resilience of Third-party Library Recommender Systems.
Proceedings of the EASE 2021: Evaluation and Assessment in Software Engineering, 2021

2020
MDEGroup/memoCNN: JSS - Convolutional neural networks for enhanced classification mechanisms of metamodels.
Dataset, November, 2020

An automated approach to assess the similarity of GitHub repositories.
Softw. Qual. J., 2020

CrossRec: Supporting software developers by recommending third-party libraries.
J. Syst. Softw., 2020

PostFinder: Mining Stack Overflow posts to support software developers.
Inf. Softw. Technol., 2020

Detecting Java software similarities by using different clustering techniques.
Inf. Softw. Technol., 2020

Automated fruit recognition using EfficientNet and MixNet.
Comput. Electron. Agric., 2020

Democratizing the development of recommender systems by means of low-code platforms.
Proceedings of the MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems, 2020

An extensible tool-chain for analyzing datasets of metamodels.
Proceedings of the MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems, 2020

TopFilter: An Approach to Recommend Relevant GitHub Topics.
Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

A Multinomial Naïve Bayesian (MNB) Network to Automatically Recommend Topics for GitHub Repositories.
Proceedings of the EASE '20: Evaluation and Assessment in Software Engineering, 2020

2019
Automated Classification of Metamodel Repositories: A Machine Learning Approach.
Proceedings of the 22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2019

FOCUS: a recommender system for mining API function calls and usage patterns.
Proceedings of the 41st International Conference on Software Engineering, 2019

Enabling heterogeneous recommendations in OSS development: what's done and what's next in CROSSMINER.
Proceedings of the Evaluation and Assessment on Software Engineering, 2019

Building Information Systems Using Collaborative-Filtering Recommendation Techniques.
Proceedings of the Advanced Information Systems Engineering Workshops, 2019

2018
Knowledge-aware Recommender System for Software Development.
Proceedings of the Workshop on Knowledge-aware and Conversational Recommender Systems 2018 co-located with 12th ACM Conference on Recommender Systems, 2018

Mining Software Repositories to Support OSS Developers: A Recommender Systems Approach.
Proceedings of the 9th Italian Information Retrieval Workshop, 2018

CrossSim: Exploiting Mutual Relationships to Detect Similar OSS Projects.
Proceedings of the 44th Euromicro Conference on Software Engineering and Advanced Applications, 2018

2017
Modification to K-Medoids and CLARA for Effective Document Clustering.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

2015
An evaluation of SimRank and Personalized PageRank to build a recommender system for the Web of Data.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Content-Based Recommendations via DBpedia and Freebase: A Case Study in the Music Domain.
Proceedings of the Semantic Web - ISWC 2015, 2015

Finding Similar Artists from the Web of Data: A PageRank Based Semantic Similarity Metric.
Proceedings of the Future Data and Security Engineering - Second International Conference, 2015

2014
Mobile Agent Communication in Highly Dynamic Networks: A Self-Adaptive Architecture inspired by the Honey Bee Colony.
EAI Endorsed Trans. Context aware Syst. Appl., 2014

A Context-Aware Traffic Engineering Model for Software-Defined Networks.
Proceedings of the Nature of Computation and Communication - International Conference, 2014

2013
A Context-Aware Model for the Management of Agent Platforms in Dynamic Networks.
Proceedings of the Context-Aware Systems and Applications, 2013

Building Consensus in Context-Aware Systems Using Ben-Or's Algorithm: Some Proposals for Improving the Convergence Speed.
Proceedings of the Context-Aware Systems and Applications, 2013

2012
An adaptive communication model for mobile agents in highly dynamic networks based on forming flexible regions via swarming behabiour.
PhD thesis, 2012

2011
Performance Comparison of some Message Transport Protocol Implementations for Agent Community Communication.
Proceedings of the 11th International Conference on Innovative Internet Community Services (I<sup>2</sup>CS 2011), 2011


  Loading...