Y

Y Li

18 records found

Multiple-instance learning as a classifier combining problem

The link between multiple-instance learning and learning from only positive and unlabelled examples

Supervised scale-invariant segmentation (and detection)

Combining multi-scale dissimilarities for image classification

Exploiting noisy and incomplete biological data for prediction and knowledge discovery
Doctoral thesis (2010) - Y Li (author)

M-PAS: a comprehensive and flexible metabolic pathway alignment and scoring method

Metabolic pathway alignment between species using a comprehensive and flexible similarity measure

Integration of prior knowledge of measurement noise in kernel density classification

Metabolic pathway alignment (M-PAL) reveals diversity and alternatives in conserved networks

Exploiting diverse noise levels in data integration

An integrative Kernel method dealing with diverse measurement noise in classification

Exploiting diverse noise levels in data integration

Pathway Alignment (M-Pa) reveals diversity and alternatives in conserved networks

Class-noise tolerant classification based on a probabilistic noise model

Classification in the prensence of class noise using a probabilistic Kernel Fisher method

Exploiting diverse noise levels in data integration

Class-noise tolerant classification based on a probabilistic noise model

Comparative genomic hybridization profiles in human BRCA1 and BRCA2 breast tumors highlight differential sets of genomic aberrations