Sean Robinson

Publication Activity (10 Years)

Years Active: 2015-2018
Publications (10 Years): 5

Top Topics

Gene Expression

Iterative Conditional

Top Venues

Publications

Sean Robinson, Michael Courtney
Spatial quantification of the synaptic activity phenotype across large populations of neurons with Markov random fields. Bioinform. 34 (18) (2018)
Sean Robinson, Jaakko Nevalainen, Guillaume Pinna, Anna Campalans, J. Pablo Radicella, Laurent Guyon
Incorporating interaction networks into the determination of functionally related hit genes in genomic experiments with Markov random fields. Bioinform. 33 (14) (2017)
Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams. AAAI Workshops (2017)
Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams. CoRR (2017)
Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson
Predicting User Roles from Computer Logs Using Recurrent Neural Networks. AAAI (2017)
Sean Robinson, Garique Glonek, Inge Koch, Mark Thomas, Christopher Davies
Alignment of time course gene expression data and the classification of developmentally driven genes with hidden Markov models. BMC Bioinform. 16 (2015)