KaronZ / Tloc
A transfer learning-based random forest regression model
☆15Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for Tloc
- ☆44Updated 6 years ago
- Hierarchical Transfer Component Analysis and Hierarchical Joint Domian Adaption are implemented in this repository.☆20Updated 6 years ago
- Transfer via Extreme learning machine Auto-encoder Method (TEAM)☆19Updated 2 years ago
- instance based Transfer learning, TrAdaboost, mutisource-trAdaBoost regresion☆15Updated 6 years ago
- Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)☆46Updated 5 years ago
- Implementation of the SER-STRUCT algorithm to perform Transfer Learning in Random Forest☆32Updated 8 years ago
- Bagging, boosting and random forests in Matlab☆24Updated 9 years ago
- A Python implementation of Online Sequential Extreme Machine Learning (OS-ELM) for online machine learning☆39Updated 3 months ago
- 用 MATLAB 实现深度学习网络中的 stacked auto-encoder：使用AE variant（de-noising / sparse / contractive AE）进行预训练，用BP算法进行微调☆41Updated 8 years ago
- Source code for "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data" (KDD 2020)☆52Updated 4 years ago
- Source code and dataset for the paper ""☆28Updated 4 years ago
- The Python implementation of Tradaboost classifier and regressor☆15Updated 6 years ago
- TS-CHIEF☆43Updated last month
- Scikit-learn style implementation of TrAdaBoost algorithm☆36Updated 6 years ago
- Rcode for the TransLasso algorithm (transfer learning in high-dimensional linear models)☆12Updated 3 years ago
- Algorithms proposed in the following paper: OLIVEIRA, Gustavo HFMO et al. Time series forecasting in the presence of concept drift: A pso…☆10Updated 3 years ago
- Multivariate Multiscale Dispersion Entropy of Biomedical Times Series☆16Updated 2 years ago
- Multi-Scale Convolutional Neural Network for Time Series Classification (MCNN)☆22Updated 5 years ago
- Learning DTW-Preserving Shapelets☆22Updated last year
- This is the GitHub repository for our publication "A new attention mechanism to classify multivariate time series", by Yifan Hao and Huip…☆28Updated 3 years ago
- Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction☆11Updated 6 years ago
- Multi-directional Recurrent Neural Networks (MRNN) - IEEE TBME 2019☆39Updated 4 years ago
- SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017☆25Updated 7 years ago
- Ensemble Learning Toolbox☆16Updated 4 years ago
- combine wavelet transform and attention mechanism for time series forecasting or classification☆29Updated 6 years ago
- A Python implementation of Kernel Principal Component Analysis (KPCA)☆16Updated 4 years ago
- A Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression☆25Updated 4 years ago
- A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a su…☆28Updated 6 years ago
- Anomaly Detection for time-series using Multilevel Wavelet Decomposition Networks.☆10Updated 4 years ago