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