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DGM: a data generative model to improve minority class presence in anomaly detection domain
Springer Verlag | 2021| -
DGM: a data generative model to improve minority class presence in anomaly detection domain
Online Contents | 2021| -
A Study: Design Patterns Detection Approaches and Impact on Software Quality
Springer Verlag | 2022| -
A Study: Design Patterns Detection Approaches and Impact on Software Quality
British Library Conference Proceedings | 2021| -
Deep Learning Based Approach for Human Intention Estimation in Lower-Back Exoskeleton
Springer Verlag | 2023| -
Detecting Design Patterns in Android Applications with CodeBERT Embeddings and CK Metrics
Springer Verlag | 2024| -
A Meta-analytical Comparison of Energy Consumed by Two Different Programming Languages
Springer Verlag | 2022| -
A Meta-analytical Comparison of Energy Consumed by Two Different Programming Languages
British Library Conference Proceedings | 2021| -
A Meta-analytical Comparison of Naive Bayes and Random Forest for Software Defect Prediction
Springer Verlag | 2023| -
A Meta-analytical Comparison of Naive Bayes and Random Forest for Software Defect Prediction
Free accessArXiv | 2023|
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