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