gcosma / adaboostCNN
Taherkhani, A, Cosma, G, McGinnity, M (2020) AdaBoost-CNN: an adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning, Neurocomputing, 404, pp.351-366, ISSN: 0925-2312. DOI: 10.1016/j.neucom.2020.03.064.
☆9Updated 3 years ago
Alternatives and similar repositories for adaboostCNN:
Users that are interested in adaboostCNN are comparing it to the libraries listed below
- This project is the official implementation of ``Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation'' in PyTorch, wh…☆12Updated 2 years ago
- An Explainable Neural Network for Fault Diagnosis With a Frequency Activation Map☆12Updated 3 years ago
- The PyTorch version for 'Domain-adversarial similarity-based meta-learning network'.☆15Updated 2 years ago
- Conditional Contrastive Domain Generalization For Fault Diagnosis☆32Updated last year
- A deep transfer regression method based on seed replacement considering balanced domain adaptation☆12Updated last year
- This is a code that combines federated learning with differential privacy for transformer fault diagnosis.☆27Updated last year
- This is the implementation of Federated Meta-Learning for Few shot Fault Diagnosis (FedMeta-FFD).☆22Updated 11 months ago
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆37Updated 2 years ago
- ☆21Updated last year
- Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnos…☆33Updated 3 years ago
- Repository containing the code for the experiments and examples of my Bachelor Thesis: Cross Domain Fault Detection through Optimal Trans…☆21Updated last year
- improved by ACWGAN-gp☆10Updated 4 years ago
- Multi-source information fusion deep self-attention reinforcement learning framework for multi-label compound fault recognition☆20Updated 2 years ago
- The code of Interpretable Convolutional Neural Network with Multilayer Wavelet for Noise-Robust Machinery Fault Diagnosis☆39Updated 2 years ago
- Domain Adaptive Neural Networks with DJP-MMD☆18Updated 3 years ago
- ☆25Updated 3 years ago
- Source Code of Industrial_ZSL in TII☆28Updated 3 years ago
- ☆11Updated 3 years ago
- The source codes of Meta-learning for few-shot cross-domain fault diagnosis.☆139Updated 8 months ago
- ☆11Updated last year
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆54Updated 3 years ago
- The code for NISTA_Net☆10Updated last year
- Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization☆12Updated 4 years ago
- This is the code of paper "A Label Information Vector Generative Zero-shot Model for the Diagnosis of Compound Faults"☆16Updated last year
- Machine learning for power system transient stability assessment☆15Updated 3 years ago
- [AEI 2024] Imbalanced domain generalization via Semantic-Discriminative augmentation for intelligent fault diagnosis☆17Updated 6 months ago
- A PaddlePaddle implementation of 'Deep Subdomain Adaptation Network for Image Classification'☆18Updated 3 years ago
- 一种数字孪生辅助的高度不平衡故障诊断新框架☆75Updated 10 months ago
- Multi-view Broad Learning Systerm☆10Updated 2 years ago
- Imporved AdamP called AMSGradP is suitable for intelligent fault diagnosis (故障诊断)☆11Updated 2 years ago