7 citations · 7 across the 3 of their papers we have counts for
3 papers · 1 filter
PIVETed-Granite: Computational Phenotypes through Constrained Tensor Factorization
Jette Henderson, Bradley A. Malin, Joyce C. Ho +1
It has been recently shown that sparse, nonnegative tensor factorization of multi-modal electronic health record data is a promising approach to high-throughput computational pheno…
PaloBoost: An Overfitting-robust TreeBoost with Out-of-Bag Sample Regularization Techniques
Yubin Park, Joyce C. Ho
Stochastic Gradient TreeBoost is often found in many winning solutions in public data science challenges. Unfortunately, the best performance requires extensive parameter tuning an…
COPA: Constrained PARAFAC2 for Sparse & Large Datasets
Ardavan Afshar, Ioakeim Perros, Evangelos E. Papalexakis +3
PARAFAC2 has demonstrated success in modeling irregular tensors, where the tensor dimensions vary across one of the modes. An example scenario is modeling treatments across a set o…