Justin Bedo

Publication Activity (10 Years)

Years Active: 2006-2018
Publications (10 Years): 5

Top Topics

Deep Belief Networks

Text Categorisation

Multivariate Gaussian Distribution

Top Venues

J. Mach. Learn. Res.

IACR Cryptol. ePrint Arch.

Publications

Lingjuan Lyu, Karthik Nandakumar, Benjamin I. P. Rubinstein, Jiong Jin, Justin Bedo, Marimuthu Palaniswami
PPFA: Privacy Preserving Fog-Enabled Aggregation in Smart Grid. IEEE Trans. Ind. Informatics 14 (8) (2018)
Justin Bedo, Benjamin Goudey, Jeremy Wazny, Ze-yu Zhou
Information theoretic alignment free variant calling. PeerJ Comput. Sci. 2 (2016)
Justin Bedo, Cheng Soon Ong
Multivariate Spearman's rho for Aggregating Ranks Using Copulas. J. Mach. Learn. Res. 17 (2016)
Justin Bedo, Benjamin Goudey, Jeremy Wazny, Ze-yu Zhou
Information theoretic alignment free variant calling. PeerJ Prepr. 4 (2016)
Justin Bedo, Thomas C. Conway, Kim Ramchen, Vanessa Teague
Privately Matching k-mers. IACR Cryptol. ePrint Arch. 2016 (2016)
Antonio Jimeno-Yepes, Andrew MacKinlay, Justin Bedo, Rahil Garvani, Qiang Chen
Deep Belief Networks and Biomedical Text Categorisation. ALTA (2014)
Justin Bedo, Cheng Soon Ong
Multivariate Spearman's rho for aggregating ranks using copulas. CoRR (2014)
Le Song, Alexander J. Smola, Arthur Gretton, Justin Bedo, Karsten M. Borgwardt
Feature Selection via Dependence Maximization. J. Mach. Learn. Res. 13 (2012)
Adam Kowalczyk, Justin Bedo, Thomas C. Conway, Bryan Beresford-Smith
The Poisson Margin Test for Normalization-Free Significance Analysis of NGS Data. J. Comput. Biol. 18 (3) (2011)
Justin Bedo, Adam Kowalczyk
Genome annotation test with validation on transcription start site and ChIP-Seq for Pol-II binding data. Bioinform. 27 (12) (2011)
Adam Kowalczyk, Justin Bedo, Thomas C. Conway, Bryan Beresford-Smith
The Poisson Margin Test for Normalisation Free Significance Analysis of NGS Data. RECOMB (2010)
Justin Bedo
Microarray Design Using the Hilbert-Schmidt Independence Criterion. PRIB (2008)
Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo
Supervised feature selection via dependence estimation. ICML (2007)
Le Song, Justin Bedo, Karsten M. Borgwardt, Arthur Gretton, Alexander J. Smola
Gene selection via the BAHSIC family of algorithms. ISMB/ECCB (Supplement of Bioinformatics) (2007)
Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo
Supervised Feature Selection via Dependence Estimation CoRR (2007)
Brian J. Parker, Simon Günter, Justin Bedo
Stratification bias in low signal microarray studies. BMC Bioinform. 8 (2007)
Justin Bedo, Conrad Sanderson, Adam Kowalczyk
An Efficient Alternative to SVM Based Recursive Feature Elimination with Applications in Natural Language Processing and Bioinformatics. Australian Conference on Artificial Intelligence (2006)