Starred repositories
The code for the paper "Data Fusion for Deep Learning on Transport Mode Detection: A Case Study", EANN 2021
StressID - a Multimodal Dataset for Stress Identification
Ensemble Machine Learning Model Trained on Combined Public Datasets Generalizes Well for Stress Prediction Using Wearable Device Biomarkers
Segmentation Algorithms for Physiological Time Series
Stress detection using Convolutional Neural Network and Gramian Angular Field images
LSTM model on multi modal sensor dataset for continuous stress detection of nurses in a hospital (Assignment)
This research paper aimed to detect the stress levels of nurses in a hospital setting using a multimodal sensor dataset consisting of Electrodermal Activity (EDA), Skin Temperature, and Heart Rate …
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
Stress detection system showcase that utilizes automatic machine learning for stress detection from wearable sensor data
Are you ready to FLIRT with your wearable data?
Code to reproduce the STREDWES results on the SWELL-KW dataset
We have created a model to predict how many bicycles will be rented in the following days. The features used like weather, temperature, working day are explained in the following sections in detail…
This repository is associated with the blog post on "Data Generators with Keras and Tensorflow on Google Colab"
Deep dive on Markov transition fields applied to time series analysis
Python library for calling Cytoscape Automation via CyREST
Code for the Representation Learning for Stress Classification and Personalization
A scikit-learn compatible neural network library that wraps PyTorch
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Multilayer network tensor factorization, for community detection, link prediction and measure layer interdependence.
Code to reproduce the experiments of the article "Subsampling Methods for Persistent Homology", Chazal et al.
DIstributed Persistence-Optimized Local Embeddings
Repository to data sets and features used in "MHVG2MTS: Multilayer Horizontal Visibility Graphs to Multivariate Time Series Analysis".