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 4 years ago
Alternatives and similar repositories for adaboostCNN:
Users that are interested in adaboostCNN are comparing it to the libraries listed below
- An Explainable Neural Network for Fault Diagnosis With a Frequency Activation Map☆13Updated 3 years ago
- The PyTorch version for 'Domain-adversarial similarity-based meta-learning network'.☆15Updated 2 years ago
- This is a code that combines federated learning with differential privacy for transformer fault diagnosis.☆26Updated last year
- Multi-source information fusion deep self-attention reinforcement learning framework for multi-label compound fault recognition☆20Updated 2 years ago
- Conditional Contrastive Domain Generalization For Fault Diagnosis☆32Updated last year
- The code of Interpretable Convolutional Neural Network with Multilayer Wavelet for Noise-Robust Machinery Fault Diagnosis☆39Updated 2 years ago
- ☆22Updated last year
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆39Updated 2 years ago
- This project is the official implementation of ``Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation'' in PyTorch, wh…☆12Updated 2 years ago
- Repository containing the code for the experiments and examples of my Bachelor Thesis: Cross Domain Fault Detection through Optimal Trans…☆22Updated last year
- Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnos…☆33Updated 3 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆56Updated 3 years ago
- ☆16Updated last year
- A deep transfer regression method based on seed replacement considering balanced domain adaptation☆15Updated 2 years ago
- pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行☆15Updated 6 years ago
- This is the implementation of Federated Meta-Learning for Few shot Fault Diagnosis (FedMeta-FFD).☆23Updated last year
- Imporved AdamP called AMSGradP is suitable for intelligent fault diagnosis (故障诊断)☆11Updated 2 years ago
- Source Code of Industrial_ZSL in TII☆31Updated 3 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆36Updated 2 years ago
- Multi-view Broad Learning Systerm☆10Updated 3 years ago
- Domain Adaptive Neural Networks with DJP-MMD☆18Updated 3 years ago
- [AEI 2024] Imbalanced domain generalization via Semantic-Discriminative augmentation for intelligent fault diagnosis☆18Updated 8 months ago
- The code for NISTA_Net☆10Updated last year
- The PyTorch implementation for multi-task attention guided network (MTAGN) in End to End Multi-task learning with Attention for Multi-obj…☆22Updated last year
- Capsule network for fault diagnosis （胶囊网络用于故障诊断）☆30Updated last year
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆119Updated 4 years ago
- DMsrTTLN code☆17Updated 7 months ago
- Implementation of Multi-Adversarial Domain Adaptation (https://arxiv.org/abs/1809.02176) in Pytorch☆17Updated 3 years ago
- Official implementation of methods from the paper SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemica…☆24Updated last year
- The implementation of "Semantic-consistent Embedding".☆15Updated 3 years ago