All Stories

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