Two papers accepted at SDM 2018

Our papers "An LSTM approach to Patent Classification based on Fixed Hierarchy Vectors" and "Making Kernel Density Estimation Robust towards Missing Values in Highly Incomplete Multivariate Data without Imputation" have been accepted at the SIAM International Conference on Data Mining (SDM 2018). Congratulations to all my co-authors!