Robust Functional Regression for Outlier Detection
Transform Learning Based Function Approximation for Regression and Forecasting
Proactive Fiber Break Detection based on Quaternion Time Series and Automatic Variable Selection from Relational Data
A fully automated periodicity detection in time series
Conditional Forecasting of Water Level Time Series with RNNs
Challenges and Limitations in Clustering Blood Donor Hemoglobin Trajectories
Localized Random Shapelets
Feature-Based Gait Pattern Classification for a Robotic Walking Frame
How to detect novelty in textual data streams? A comparative study of existing methods
Seq2VAR: multivariate time series representation with relational neural networks and linear autoregressive model
Modelling Patient Sequences for Rare Disease Detection with Semi-supervised Generative Adversarial Nets
Extended Kalman Filter for Large Scale Vessels Trajectory Tracking in Distributed Stream Processing Systems
Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Datasets using Deep Learning
Learning Stochastic Dynamical Systems via Bridge Sampling
Quantifying Quality of Actions Using Wearable Sensor
An Initial Study on Adapting DTW at Individual Query for Electrocardiogram Analysis.