Jonathan A. Cox

According to our database, Jonathan A. Cox authored at least 7 papers between 2012 and 2017.

Collaborative distances:

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

2017

Tracking Cyber Adversaries with Adaptive Indicators of Compromise.

Justin E. Doak, Joe B. Ingram, Sam A. Mulder, John H. Naegle, Jonathan A. Cox, James B. Aimone, Kevin R. Dixon, Conrad D. James, David R. Follett

CoRR, 2017

Neurogenesis deep learning: Extending deep networks to accommodate new classes.

Timothy J. Draelos, Nadine E. Miner, Christopher C. Lamb, Jonathan A. Cox, Craig M. Vineyard, Kristofor D. Carlson, William M. Severa, Conrad D. James, James B. Aimone

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Parameter compression of recurrent neural networks and degradation of short-term memory.

Jonathan A. Cox

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Parameter Compression of Recurrent Neural Networks and Degredation of Short-term Memory.

Jonathan A. Cox

CoRR, 2016

Resistive memory device requirements for a neural algorithm accelerator.

Sapan Agarwal, Steven J. Plimpton, David R. Hughart, Alexander H. Hsia, Isaac Richter, Jonathan A. Cox, Conrad D. James, Matthew J. Marinella

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

A Signal Processing Approach for Cyber Data Classification with Deep Neural Networks.

Jonathan A. Cox, Conrad D. James, James B. Aimone

Proceedings of the Complex Adaptive Systems 2015 Conference, San Jose, 2015

2012

Sub-femtosecond precision timing distribution, synchronization and coherent synthesis of ultrafast lasers.

Jonathan A. Cox

PhD thesis, 2012