All Stories

  1. Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking
  2. Automatic Categorization of GitHub actions using few-shot learning
  3. Automated categorization of pre-trained models in software engineering: A case study with a Hugging Face dataset
  4. When simplicity meets effectiveness: Detecting code comments coherence with word embeddings and LSTM
  5. LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss
  6. On the Limits of Lossy Compression for Human Activity Recognition in Sensor Networks
  7. Automatic detection of weeds: synergy between EfficientNet and transfer learning to enhance the prediction accuracy
  8. Fusion of edge detection and graph neural networks to classifying electrocardiogram signals
  9. Too long; didn’t read: Automatic summarization of GitHub README.MD with Transformers
  10. Fusion of deep convolutional and LSTM recurrent neural networks for automated detection of code smells
  11. Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We?
  12. MORGAN: a modeling recommender system based on graph kernel
  13. Fitting missing API puzzles with machine translation techniques
  14. Edge detection and graph neural networks to classify mammograms: A case study with a dataset from Vietnamese patients
  15. Machine Learning for Managing Modeling Ecosystems: Techniques, Applications, and a Research Vision
  16. Automatic detection of Covid-19 from chest X-ray and lung computed tomography images using deep neural networks and transfer learning
  17. Finding with NEMO
  18. DeepLib: Machine translation techniques to recommend upgrades for third-party libraries
  19. HybridRec: A recommender system for tagging GitHub repositories
  20. Recommending API Function Calls and Code Snippets to Support Software Development
  21. PILOT
  22. LEV4REC: A Low-Code Environment to Support the Development of Recommender Systems 
  23. MemoRec: a recommender system for assisting modelers in specifying metamodels
  24. Endowing third-party libraries recommender systems with explicit user feedback mechanisms
  25. Providing upgrade plans for third-party libraries: a recommender system using migration graphs
  26. An Efficient Classification Algorithm for Traditional Textile Patterns from Different Cultures Based on Structures
  27. Detection of tuberculosis from chest X-ray images: Boosting the performance with vision transformer and transfer learning
  28. Correction to: Evaluation of a machine learning classifier for metamodels
  29. Adversarial Attacks to API Recommender Systems: Time to Wake Up and Smell the Coffee?
  30. A GNN-based Recommender System to Assist the Specification of Metamodels and Models
  31. A Lightweight Approach for the Automated Classification and Clustering of Metamodels
  32. A tool to develop recommender system
  33. Evaluation of a machine learning classifier for metamodels
  34. Adversarial Machine Learning: On the Resilience of Third-party Library Recommender Systems
  35. Development of recommendation systems for software engineering: the CROSSMINER experience
  36. Unavailable Transit Feed Specification: Making It Available With Recurrent Neural Networks
  37. Convolutional neural networks for enhanced classification mechanisms of metamodels
  38. PostFinder: Mining Stack Overflow posts to support software developers
  39. An extensible tool-chain for analyzing datasets of metamodels
  40. Democratizing the development of recommender systems by means of low-code platforms
  41. TopFilter
  42. Deep Learning for Automated Recognition of Covid-19 from Chest X-ray Images
  43. Detecting Java software similarities by using different clustering techniques
  44. A Multinomial Naïve Bayesian (MNB) Network to Automatically Recommend Topics for GitHub Repositories
  45. Automated fruit recognition using EfficientNet and MixNet
  46. CrossRec: Supporting software developers by recommending third-party libraries
  47. An automated approach to assess the similarity of GitHub repositories
  48. Automated Classification of Metamodel Repositories: A Machine Learning Approach
  49. FOCUS: A Recommender System for Mining API Function Calls and Usage Patterns
  50. Enabling heterogeneous recommendations in OSS development
  51. Building Information Systems Using Collaborative-Filtering Recommendation Techniques
  52. CrossSim: Exploiting Mutual Relationships to Detect Similar OSS Projects
  53. Modification to K-Medoids and CLARA for Effective Document Clustering
  54. An evaluation of SimRank and Personalized PageRank to build a recommender system for the Web of Data
  55. Finding Similar Artists from the Web of Data: A PageRank Based Semantic Similarity Metric
  56. A Context-Aware Traffic Engineering Model for Software-Defined Networks
  57. Content-Based Recommendations via DBpedia and Freebase: A Case Study in the Music Domain
  58. A Context-Aware Model for the Management of Agent Platforms in Dynamic Networks
  59. Building Consensus in Context-Aware Systems Using Ben-Or’s Algorithm: Some Proposals for Improving the Convergence Speed
  60. A Context-Aware Model for the Management of Agent Platforms in Dynamic Networks
  61. Building Consensus in Context-Aware Systems Using Ben-Or’s Algorithm: Some Proposals for Improving the Convergence Speed