All Stories

  1. Noise-reduction-oriented super-resolution reconstruction for precision agriculture applications
  2. Binary and multi-class classification of Self-Admitted Technical Debt: How far can we go?
  3. Teamwork makes the dream work: LLMs-Based Agents for GitHub README.MD Summarization
  4. Detecting Malicious Source Code in PyPI Packages with LLMs: Does RAG Come in Handy
  5. Simplicity by Obfuscation: Evaluating LLM-Driven Code Transformation with Semantic Elasticity
  6. Bake Two Cakes with One Oven: RL for Defusing Popularity Bias and Cold-start in Third-Party Library Recommendations
  7. EnseSmells : Deep ensemble and programming language models for automated code smells detection
  8. On the use of large language models in model-driven engineering
  9. DeepMig: A transformer-based approach to support coupled library and code migrations
  10. Recognition of breast cancer from heterogeneous ultrasound images: A multi-level deep learning approach
  11. Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking
  12. Automatic Categorization of GitHub actions using few-shot learning
  13. Exploring user privacy awareness on GitHub: an empirical study
  14. GPTSniffer: A CodeBERT-based classifier to detect source code written by ChatGPT
  15. Automated categorization of pre-trained models in software engineering: A case study with a Hugging Face dataset
  16. When simplicity meets effectiveness: Detecting code comments coherence with word embeddings and LSTM
  17. LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss
  18. SGD method for entropy error function with smoothing $$l_0$$ regularization for neural networks
  19. LEV4REC: A feature-based approach to engineering RSSEs
  20. Programming with ChatGPT: How far can we go?
  21. On the Limits of Lossy Compression for Human Activity Recognition in Sensor Networks
  22. Automatic detection of weeds: synergy between EfficientNet and transfer learning to enhance the prediction accuracy
  23. Fusion of edge detection and graph neural networks to classifying electrocardiogram signals
  24. Too long; didn’t read: Automatic summarization of GitHub README.MD with Transformers
  25. Fusion of deep convolutional and LSTM recurrent neural networks for automated detection of code smells
  26. Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We?
  27. MORGAN: a modeling recommender system based on graph kernel
  28. Fitting missing API puzzles with machine translation techniques
  29. Edge detection and graph neural networks to classify mammograms: A case study with a dataset from Vietnamese patients
  30. Machine Learning for Managing Modeling Ecosystems: Techniques, Applications, and a Research Vision
  31. Automatic detection of Covid-19 from chest X-ray and lung computed tomography images using deep neural networks and transfer learning
  32. Finding with NEMO
  33. DeepLib: Machine translation techniques to recommend upgrades for third-party libraries
  34. HybridRec: A recommender system for tagging GitHub repositories
  35. Recommending API Function Calls and Code Snippets to Support Software Development
  36. PILOT
  37. LEV4REC: A Low-Code Environment to Support the Development of Recommender Systems 
  38. MemoRec: a recommender system for assisting modelers in specifying metamodels
  39. Endowing third-party libraries recommender systems with explicit user feedback mechanisms
  40. Providing upgrade plans for third-party libraries: a recommender system using migration graphs
  41. Validation of the OAKS prognostic model for acute kidney injury after gastrointestinal surgery
  42. An Efficient Classification Algorithm for Traditional Textile Patterns from Different Cultures Based on Structures
  43. Detection of tuberculosis from chest X-ray images: Boosting the performance with vision transformer and transfer learning
  44. Correction to: Evaluation of a machine learning classifier for metamodels
  45. Adversarial Attacks to API Recommender Systems: Time to Wake Up and Smell the Coffee?
  46. A GNN-based Recommender System to Assist the Specification of Metamodels and Models
  47. A Lightweight Approach for the Automated Classification and Clustering of Metamodels
  48. A tool to develop recommender system
  49. Evaluation of a machine learning classifier for metamodels
  50. Adversarial Machine Learning: On the Resilience of Third-party Library Recommender Systems
  51. Development of recommendation systems for software engineering: the CROSSMINER experience
  52. Unavailable Transit Feed Specification: Making It Available With Recurrent Neural Networks
  53. Convolutional neural networks for enhanced classification mechanisms of metamodels
  54. PostFinder: Mining Stack Overflow posts to support software developers
  55. An extensible tool-chain for analyzing datasets of metamodels
  56. Democratizing the development of recommender systems by means of low-code platforms
  57. TopFilter
  58. Deep Learning for Automated Recognition of Covid-19 from Chest X-ray Images
  59. Detecting Java software similarities by using different clustering techniques
  60. A Multinomial Naïve Bayesian (MNB) Network to Automatically Recommend Topics for GitHub Repositories
  61. Automated fruit recognition using EfficientNet and MixNet
  62. CrossRec: Supporting software developers by recommending third-party libraries
  63. An automated approach to assess the similarity of GitHub repositories
  64. Automated Classification of Metamodel Repositories: A Machine Learning Approach
  65. FOCUS: A Recommender System for Mining API Function Calls and Usage Patterns
  66. Enabling heterogeneous recommendations in OSS development
  67. Building Information Systems Using Collaborative-Filtering Recommendation Techniques
  68. CrossSim: Exploiting Mutual Relationships to Detect Similar OSS Projects
  69. Modification to K-Medoids and CLARA for Effective Document Clustering
  70. Firstfilter: A cost-sensitive approach to malicious URL detection in large-scale enterprise networks
  71. An evaluation of SimRank and Personalized PageRank to build a recommender system for the Web of Data
  72. Characterizing and modeling people movement from mobile phone sensing traces
  73. Finding Similar Artists from the Web of Data: A PageRank Based Semantic Similarity Metric
  74. A Context-Aware Traffic Engineering Model for Software-Defined Networks
  75. Content-Based Recommendations via DBpedia and Freebase: A Case Study in the Music Domain
  76. A Context-Aware Model for the Management of Agent Platforms in Dynamic Networks
  77. Building Consensus in Context-Aware Systems Using Ben-Or’s Algorithm: Some Proposals for Improving the Convergence Speed
  78. A Context-Aware Model for the Management of Agent Platforms in Dynamic Networks
  79. Building Consensus in Context-Aware Systems Using Ben-Or’s Algorithm: Some Proposals for Improving the Convergence Speed