aus10powell / Fuzzy-Dempster-ShaferLinks
A fuzzy machine learning algorithm utilizing Dempster-Shafer and Bayesian Theory
☆25Updated last year
Alternatives and similar repositories for Fuzzy-Dempster-Shafer
Users that are interested in Fuzzy-Dempster-Shafer are comparing it to the libraries listed below
Sorting:
- dempster_shafer theory is used to integrate the RSS data processed by multiple machine learning algorithms☆16Updated 7 years ago
- Matlab source code of the paper "Y. Cui, D. Wu* and J. Huang*, "Optimize TSK Fuzzy Systems for Classification Problems: Mini-Batch Gradie…☆15Updated 4 years ago
- Pseudo-labelling and knowledge distillation from multiple teachers for remote sensing monitoring of deforestation in Ukraine☆13Updated 2 years ago
- Code for our paper Self Supervised Learning for Semi Supervised Time Series Classification PAKDD 2020☆16Updated 4 years ago
- evclust : Python library for evidential clustering☆13Updated 4 months ago
- ☆9Updated 2 years ago
- Methods for generating synthetic minority data for multivariate temporal data to improve classification accuracy.☆14Updated 2 years ago
- Code repository for review paper titled "Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A …☆27Updated last year
- Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from Zhou and Li, 2005.☆60Updated 6 years ago
- A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a su…☆29Updated 6 years ago
- This repository implements the GAT-LSTM model, which combines Graph Attention Networks (GAT) and Long Short-Term Memory Networks (LSTM) f…☆11Updated 4 months ago
- Code for the paper "Improving Missing Data Imputation with Deep Generative Models"☆32Updated 6 years ago
- Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection (AMSL) -open source☆54Updated 3 years ago
- Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark…☆91Updated 3 years ago
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆31Updated last year
- Deep Clustering Analysis via Dual Variational Autoencoder with Spherical Latent Embeddings powered by@torch☆12Updated 3 years ago
- Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".☆119Updated 3 years ago
- Motor Failure Prediction using metaclassifier and Genetic Algorithms☆10Updated 3 years ago
- A pytorch implementation of TSK fuzzy sytems.☆17Updated 5 years ago
- ☆17Updated 4 years ago
- Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.☆38Updated 3 years ago
- ☆15Updated 3 years ago
- Fuzzy Deep Neural Network.☆58Updated 2 years ago
- Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python☆154Updated 6 years ago
- ☆24Updated 8 months ago
- Experiments with fuzzy layers and neural nerworks☆28Updated last month
- This work studies imbalanced domain generalization.☆12Updated 2 years ago
- Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network☆13Updated 4 years ago
- Code of Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs☆22Updated 2 years ago
- An Implementation of DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks☆38Updated 6 years ago