Justin Bedo

According to our database, Justin Bedo authored at least 14 papers between 2006 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2018

PPFA: Privacy Preserving Fog-Enabled Aggregation in Smart Grid.

Lingjuan Lyu, Karthik Nandakumar, Benjamin I. P. Rubinstein, Jiong Jin, Justin Bedo, Marimuthu Palaniswami

IEEE Trans. Ind. Informatics, 2018

2016

Information theoretic alignment free variant calling.

Justin Bedo, Benjamin Goudey, Jeremy Wazny, Ze-yu Zhou

PeerJ Comput. Sci., 2016

Multivariate Spearman's rho for Aggregating Ranks Using Copulas.

Justin Bedo, Cheng Soon Ong

J. Mach. Learn. Res., 2016

Privately Matching k-mers.

Justin Bedo, Thomas C. Conway, Kim Ramchen, Vanessa Teague

IACR Cryptol. ePrint Arch., 2016

2014

Deep Belief Networks and Biomedical Text Categorisation.

Antonio Jimeno-Yepes, Andrew MacKinlay, Justin Bedo, Rahil Garvani, Qiang Chen

Proceedings of the Australasian Language Technology Association Workshop, 2014

2012

Feature Selection via Dependence Maximization.

Le Song, Alexander J. Smola, Arthur Gretton, Justin Bedo, Karsten M. Borgwardt

J. Mach. Learn. Res., 2012

2011

The Poisson Margin Test for Normalization-Free Significance Analysis of NGS Data.

Adam Kowalczyk, Justin Bedo, Thomas C. Conway, Bryan Beresford-Smith

J. Comput. Biol., 2011

Genome annotation test with validation on transcription start site and ChIP-Seq for Pol-II binding data.

Justin Bedo, Adam Kowalczyk

Bioinform., 2011

2010

The Poisson Margin Test for Normalisation Free Significance Analysis of NGS Data.

Adam Kowalczyk, Justin Bedo, Thomas C. Conway, Bryan Beresford-Smith

Proceedings of the Research in Computational Molecular Biology, 2010

2008

Microarray Design Using the Hilbert-Schmidt Independence Criterion.

Justin Bedo

Proceedings of the Pattern Recognition in Bioinformatics, 2008

2007

Stratification bias in low signal microarray studies.

Brian J. Parker, Simon Günter, Justin Bedo

BMC Bioinform., 2007

Gene selection via the BAHSIC family of algorithms.

Le Song, Justin Bedo, Karsten M. Borgwardt, Arthur Gretton, Alexander J. Smola

Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

Supervised feature selection via dependence estimation.

Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo

Proceedings of the Machine Learning, 2007

2006

An Efficient Alternative to SVM Based Recursive Feature Elimination with Applications in Natural Language Processing and Bioinformatics.

Justin Bedo, Conrad Sanderson, Adam Kowalczyk

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006