All Stories

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