Bo Jin

According to our database1, Bo Jin authored at least 20 papers between 2007 and 2019.

Collaborative distances:



In proceedings 
PhD thesis 





Unsupervised EEG feature extraction based on echo state network.
Inf. Sci., 2019

Multi-view Reconstructive Preserving Embedding for Dimension Reduction.
CoRR, 2018

Predicting the Risk of Heart Failure With EHR Sequential Data Modeling.
IEEE Access, 2018

A Treatment Engine by Predicting Next-Period Prescriptions.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

CADEN: A Context-Aware Deep Embedding Network for Financial Opinions Mining.
Proceedings of the IEEE International Conference on Data Mining, 2018

Chemical Medicine Classification Through Chemical Properties Analysis.
IEEE Access, 2017

An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Exploring risk factors and predicting UPDRS score based on Parkinson's speech signals.
Proceedings of the 19th IEEE International Conference on e-Health Networking, 2017

Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

A Convolutional Neural Network Model for Online Medical Guidance.
IEEE Access, 2016

Multi-Label Classification Methods for Green Computing and Application for Mobile Medical Recommendations.
IEEE Access, 2016

Minimizing Legal Exposure of High-Tech Companies through Collaborative Filtering Methods.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Efficient Methods for Multi-label Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Sliding Window-based Frequent Itemsets Mining over Data Streams using Tail Pointer Table.
Int. J. Comput. Intell. Syst., 2014

Technology Prospecting for High Tech Companies through Patent Mining.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Maximal Similarity Embedding.
Neurocomputing, 2013

UT-Tree: Efficient mining of high utility itemsets from data streams.
Intell. Data Anal., 2013

Research on Maximal Frequent Pattern Outlier Factor for Online High-Dimensional Time-Series Outlier Detection.
JCIT, 2010

A similarity measure of Jumping Dynamic Time Warping.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

Chinese Patent Mining Based on Sememe Statistics and Key-Phrase Extraction.
Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007