Area of research
Signal Processing · Artificial Intelligence
Research interest
Research interests include Computer science, Artificial intelligence, Medicine, Multivariate statistics, Series (stratigraphy), and Dynamic time warping.
Improvement of railroad maintenance program: predicting the degradation level of railroad timber ties through the application of the random forest model
A machine learning approach for modeling decisions in the out of hospital cardiac arrest care workflow
A process mining- deep learning approach to predict survival in a cohort of hospitalized COVID‐19 patients
Generating Adversarial Samples on Multivariate Time Series using Variational Autoencoders
Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published models
Multivariate LSTM-FCNs for time series classification
A machine learning based model for Out of Hospital cardiac arrest outcome classification and sensitivity analysis
Asymptotic Dynamic Time Warping calculation with utilizing value repetition
Efficient Classification of Long Time Series by 3-D Dynamic Time Warping