Thông tin nhà nghiên cứu KH&CN

Automated Classification of Metamodel Repositories: A Machine Learning Approach

Modification to K-Medoids and CLARA for Effective Document Clustering

Finding Similar Artists from the Web of Data: A PageRank Based Semantic Similarity Metric

Automatic Categorization of GitHub Actions with Transformers and Few-shot Learning

Teamwork makes the dream work: LLMs-Based Agents for GitHub README.MD Summarization

Detecting Malicious Source Code in PyPI Packages with LLMs: Does RAG Come in Handy?

Bake Two Cakes with One Oven: RL for Defusing Popularity Bias and Cold-start in Third-Party Library Recommendations

Simplicity by Obfuscation: Evaluating LLM-Driven Code Transformation with Semantic Elasticity

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

LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss

When simplicity meets effectiveness: Detecting code comments coherence with word embeddings and LSTM

Automated categorization of pre-trained models for software engineering: A case study with a Hugging Face dataset

Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We?

Too long; didn’t read: Automatic summarization of GitHub README.MD with Transformers

Fusion of deep convolutional and LSTM recurrent neural networks for automated detection of code smells

On the Limits of Lossy Compression for Human Activity Recognition in Sensor Networks

Finding with NEMO: a recommender system to forecast the next modeling operations

PILOT: Synergy between Text Processing and Neural Networks to Detect Self-Admitted Technical Debt

Endowing third-party libraries recommender systems with explicit user feedback mechanism

Adversarial Attacks to API Recommender Systems: Time to Wake Up and Smell the Coffee?

Adversarial Machine Learning: On the Resilience of Third-party Library Recommender Systems

A GNN-based Recommender System to Assist the Specification of Metamodels and Models

Democratizing the development of recommender systems by means of low-code platforms

A Multinomial Naı̈ve Bayesian (MNB) Network to Automatically Recommend Topics for GitHub Repositories

FOCUS: A Recommender System for Mining API Function Calls and Usage Patterns

Enabling heterogeneous recommendations in OSS development: What’s done and what’s next in CROSSMINER

CrossSim: exploiting mutual relationships to detect similar OSS projects

TopFilter: An Approach to Recommend Relevant GitHub Topics

An evaluation of SimRank and Personalized PageRank to build a recommender system for the Web of Data

Content-based recommendations via DBpedia and Freebase: A case study in the music domain

Building Consensus in Context-Aware Systems Using Ben-Or’s Algorithm: Some Proposals for Improving the Convergence Speed

GPTSniffer: A CodeBERT-based Classifier to Detect Code Written by ChatGPT

EnseSmells: Deep ensemble and programming language models for automated code smells detection

On the use of large language models in model-driven engineering

DeepMig: a transformer-based approach to support coupled library and code migrations

Exploring user privacy awareness on GitHub: an empirical study

Programming with ChatGPT: How far can we go?

Leveraging Privacy Profiles to Empower Users in the Digital Society

SGD method for entropy error function with smoothing l0 regularization for neural networks

Fitting Missing API Puzzles with Machine Translation Techniques

DeepLib: Machine Translation Techniques to Recommend Upgrades for Third-party Libraries

Evaluation of Machine Learning Classifiers for Metamodels

MORGAN: a modeling recommender system based on graph kernel

LEV4REC: A feature-based approach to engineering RSSEs

Automatic Detection of Weeds: Synergy between EfficientNet and Transfer Learning to Enhance the Prediction Accuracy

Fusion of edge detection and graph neural networks to classifying electrocardiogram signals

Edge detection and graph neural networks to classify mammograms: A case study with a dataset from Vietnamese patients

Automatic Detection of Covid-19 from Chest X-ray and Lung Computed Tomography Images using Deep Neural Networks and Transfer Learning

Recommending API Function Calls and Code Snippets to Support Software Development

HybridRec: A Recommender System for Tagging GitHub Repositories

MemoRec: A Recommender System for Assisting Modelers in Specifying Metamodels

Detection of Tuberculosis from Chest X-ray Images: Boosting the Performance with Vision Transformer and Transfer Learning

Providing Upgrade Plans for Third-party Libraries: A Recommender System using Migration Graphs

An Efficient Classification Algorithm for Traditional Textile Patterns from Different Cultures based on Hypergraph Structures

Development of recommendation systems for software engineering: the CROSSMINER experience

Unavailable Transit Feed Specification: Making It Available With Recurrent Neural Networks

Convolutional neural networks for enhanced classification mechanisms of metamodels

Detecting Java Software Similarities by using Different Clustering Techniques

PostFinder: Mining Stack Overflow posts to support software developers

Automated Fruits Recognition on using EfficientNet and MixNet

CrossRec: Supporting Software Developers by Recommending Third-party Libraries

An Automated Approach to Assess the Similarity of GitHub Repositories