Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Benchmark Machine Learning Approaches with Classical Time Series Approaches on the Blood Glucose Level Prediction Challenge
The OhioT1DM Dataset For Blood Glucose Level Prediction
Non-invasive blood glucose estimation using Near-Infrared spectroscopy based on SVR
Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes
Precision and Recall for Time Series
Machine learning and time series: Real world applications
A Deep Learning Approach to Identify Diabetes
Machine Learning and Data Mining Methods in Diabetes Research
Financial time series forecasting using support vector machines
A novel transfer learning framework for time series forecasting
Comparative of Data Mining Classification Algorithm (CDMCA) in Diabetes Disease Prediction
Improving multi-step prediction of learned time series models
Positive blood culture detection in time series data using a BiLSTM network
A hybrid prediction model for type 2 diabetes using K-means and decision tree
Forecasting time series using a methodology based on autoregressive integrated moving average and genetic programming
Theory and Algorithms for Forecasting Time Series
Comparative Analysis of Machine Learning Algorithms on Different Datasets
Toward Automatic Time-Series Forecasting Using Neural Networks
Semi-supervised time series classification
Time Series Prediction Using DBN and ARIMA
Classification Of Diabetes Disease Using Support Vector Machine
Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes
Automated Diagnosis of Epilepsy Using Key-Point-Based Local Binary Pattern of EEG Signals
Design of a class-E inverter for piezoelectric ultrasound generation against load variation
cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information
speaker identification using mel frequency cepstral coefficient and bpnn .