hfawaz / ijcars19
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks
☆9Updated 5 years ago
Alternatives and similar repositories for ijcars19:
Users that are interested in ijcars19 are comparing it to the libraries listed below
- Evaluating surgical skills from kinematic data using convolutional neural networks☆22Updated 6 years ago
- This project implements the code to classify the multivariate time series data generated from sensors using shape mining approach.☆9Updated 6 years ago
- Curvature-based Feature Selection method☆11Updated 2 years ago
- Explaining the unique nature of individual gait patterns with deep learning☆27Updated 4 years ago
- Code and annotation for the paper "Towards Accurate and Interpretable Surgical Skill Assessment: A Video-Based Method Incorporating Recog…☆11Updated 2 years ago
- A Machine learning toolbox containing algorithms for non-linear dimensionality reduction, clustering, classification and regression along…☆96Updated 4 years ago
- Use Gaussian processes to estimate CNN classification uncertainty☆12Updated 6 years ago
- Code and Data used for the paper "Explaining Machine Learning Models for Clinical Gait Analysis"☆29Updated 3 years ago
- Explainability of Deep Learning Models☆29Updated last year
- VAE for regression PyTorch implementation☆9Updated 2 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆89Updated 3 years ago
- ☆20Updated 5 years ago
- Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'☆68Updated 3 years ago
- [Nature Communications 2021] Continual learning of AI models on ECG data with CLOPS☆20Updated 2 years ago
- using monte carlo dropout to have uncertainty estimation of predictions☆14Updated 5 years ago
- ☆23Updated last year
- Unsupervised Domain Adaptation for Time Series Classification☆29Updated last year
- A repository for my pytorch models☆10Updated 5 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆30Updated 3 years ago
- Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction☆43Updated 5 years ago
- Gaussian Mixture Model (GMM) and Gaussian Mixture Regression (GMR) implemented purely on numpy☆62Updated 5 years ago
- Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning☆44Updated last year
- ☆12Updated 6 years ago
- Data augmentation for multivariate time series classification☆27Updated 5 years ago
- ☆13Updated 6 years ago
- Convolutional AutoEncoder application on MRI images☆72Updated 7 years ago
- A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.☆50Updated 5 years ago
- This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.☆29Updated 4 years ago
- RandomWarpingSeries (RWS) is a simple code for generating the vector representation of time-series for time-series classification, cluste…☆20Updated 5 years ago
- A toy example of VAE-regression network☆72Updated 4 years ago