Raphael Petegrosso

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 8

Top Topics

Label Propagation

Statistical Methods

Keyword Spotting

Top Venues

NAACL-HLT (Industry Papers)

Briefings Bioinform.

Publications

Raphael Petegrosso, Vasistakrishna Baderdinni, Thibaud Senechal, Benjamin L. Bullough
AB/BA analysis: A framework for estimating keyword spotting recall improvement while maintaining audio privacy. NAACL-HLT (Industry Papers) (2022)
Zhuliu Li, Raphael Petegrosso, Shaden Smith, David Sterling, George Karypis, Rui Kuang
Scalable Label Propagation for Multi-Relational Learning on the Tensor Product of Graphs. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Raphael Petegrosso, Vasistakrishna Baderdinni, Thibaud Senechal, Benjamin L. Bullough
AB/BA analysis: A framework for estimating keyword spotting recall improvement while maintaining audio privacy. CoRR (2022)
Raphael Petegrosso, Zhuliu Li, Rui Kuang
Machine learning and statistical methods for clustering single-cell RNA-sequencing data. Briefings Bioinform. 21 (4) (2020)
Huanan Zhang, Catherine A. A. Lee, Zhuliu Li, John R. Garbe, Cindy R. Eide, Raphael Petegrosso, Rui Kuang, Jakub Tolar
A multitask clustering approach for single-cell RNA-seq analysis in Recessive Dystrophic Epidermolysis Bullosa. PLoS Comput. Biol. 14 (4) (2018)
Zhuliu Li, Raphael Petegrosso, Shaden Smith, David Sterling, George Karypis, Rui Kuang
Scalable Label Propagation for Multi-relational Learning on Tensor Product Graph. CoRR (2018)
Raphael Petegrosso, Wei Zhang, Zhuliu Li, Yousef Saad, Rui Kuang
Low-rank Label Propagation for Semi-supervised Learning with 100 Millions Samples. CoRR (2017)
Raphael Petegrosso, Sunho Park, TaeHyun Hwang, Rui Kuang
Transfer learning across ontologies for phenome-genome association prediction. Bioinform. 33 (4) (2017)