My M.Sc thesis on Continuous time Bayesian Network Classifiers (CTBNCs)
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Updated
Apr 3, 2014 - TeX
My M.Sc thesis on Continuous time Bayesian Network Classifiers (CTBNCs)
Data augmentation using synthetic data for time series classification with deep residual networks
Evaluating surgical skills from kinematic data using convolutional neural networks
Detect the floor type (concrete, carpet etc.) using robot accelerometer measurements (University project)
Implements High-Gamma dataset decoding using Filter Bank Common Spatial Pattern with rLDA classification and Neural Networks.
Time series classification for Human Activity Recognition
Drowning Detection using RFIDs (IOT + AI)
Transfer learning for time series classification
Solving physionet2017 with RCRNN
Multivariate time series classification using MLSTM FCNN and ride hailing data
Time Series Analysis of Internation Air Passengers
time series classification from scratch with deep neural networks (WIP)
Code for "Linear Time Complexity Time Series Classification with Bag-of-Pattern-Features"
Code for "Evolving Separating References for Time Series Classification"
Human Activity Recognition from Accelerometer Data
Time-series classification using dtw
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks
Different deep learning architectures are implemented for time series classification and prediction purposes.
Classification of Time-series data with RNN
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