Pai-Hsi Huang

Efficient use of unlabeled data for protein sequence classification: a comparative study

Vladimir Pavlovic, Pavel P. Kuksa, Pai-Hsi Huang, 2009, BMC Bioinformatics.

Protein homology detection with biologically inspired features and interpretable statistical models

Vladimir Pavlovic, Pai-Hsi Huang, 2008, Int. J. Data Min. Bioinform..

On the Role of Local Matching for Efficient Semi-supervised Protein Sequence Classification

Vladimir Pavlovic, Pavel P. Kuksa, Pai-Hsi Huang, 2008, 2008 IEEE International Conference on Bioinformatics and Biomedicine.

Protein homology detection with sparse models

Vladimir Pavlovic, Pai-Hsi Huang, V. Pavlovic, 2008 .

Fast and accurate multi-class protein fold recognition with spatial sample kernels.

Vladimir Pavlovic, Pai-Hsi Huang, Pavel Kuksa, 2008, Computational systems bioinformatics. Computational Systems Bioinformatics Conference.

Fast protein homology and fold detection with sparse spatial sample kernels

Vladimir Pavlovic, Pavel P. Kuksa, Pai-Hsi Huang, 2008, 2008 19th International Conference on Pattern Recognition.

FASTANDACCURATEMULTI-CLASSPROTEINFOLDRECOGNITIONWITHSPATIAL SAMPLEKERNELS

Vladimir Pavlovic, Pavel P. Kuksa, Pai-Hsi Huang, 2008 .

Scalable Algorithms for String Kernels with Inexact Matching

Vladimir Pavlovic, Pavel P. Kuksa, Pai-Hsi Huang, 2008, NIPS.

Sparse Logistic Classifiers for Interpretable Protien Homology Detection

Vladimir Pavlovic, Pai-Hsi Huang, V. Pavlovic, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).