Conrad D. James

Orcid: 0000-0003-3294-4244

According to our database1, Conrad D. James authored at least 29 papers between 2000 and 2019.

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Bibliography

2019
Magnetic Source Imaging Using a Pulsed Optically Pumped Magnetometer Array.
IEEE Trans. Instrum. Meas., 2019

Sparse Data Acquisition on Emerging Memory Architectures.
IEEE Access, 2019

2018
Sparse Coding for N-Gram Feature Extraction and Training for File Fragment Classification.
IEEE Trans. Inf. Forensics Secur., 2018

Computing with Spikes: The Advantage of Fine-Grained Timing.
Neural Comput., 2018

Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

Constant-Depth and Subcubic-Size Threshold Circuits for Matrix Multiplication.
Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures, 2018

Dynamic Analysis of Executables to Detect and Characterize Malware.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Resilient Computing with Reinforcement Learning on a Dynamical System: Case Study in Sorting.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
A Combinatorial Model for Dentate Gyrus Sparse Coding.
Neural Comput., 2017

Tracking Cyber Adversaries with Adaptive Indicators of Compromise.
CoRR, 2017

Data-driven Feature Sampling for Deep Hyperspectral Classification and Segmentation.
CoRR, 2017

A Digital Neuromorphic Architecture Efficiently Facilitating Complex Synaptic Response Functions Applied to Liquid State Machines.
CoRR, 2017

Neuromorphic data microscope.
Proceedings of the Neuromorphic Computing Symposium, 2017

Optimization-based computation with spiking neurons.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Neurogenesis deep learning: Extending deep networks to accommodate new classes.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Impact of Linearity and Write Noise of Analog Resistive Memory Devices in a Neural Algorithm Accelerator.
Proceedings of the IEEE International Conference on Rebooting Computing, 2017

A Spike-Timing Neuromorphic Architecture.
Proceedings of the IEEE International Conference on Rebooting Computing, 2017

2016
Neurogenesis Deep Learning.
CoRR, 2016

Quantifying neural information content: A case study of the impact of hippocampal adult neurogenesis.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Resistive memory device requirements for a neural algorithm accelerator.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Spiking network algorithms for scientific computing.
Proceedings of the IEEE International Conference on Rebooting Computing, 2016

Computing with dynamical systems.
Proceedings of the IEEE International Conference on Rebooting Computing, 2016

2015
MapReduce SVM Game.
Proceedings of the INNS Conference on Big Data 2015, 2015

Repeated play of the SVM game as a means of adaptive classification.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A Signal Processing Approach for Cyber Data Classification with Deep Neural Networks.
Proceedings of the Complex Adaptive Systems 2015 Conference, San Jose, 2015

2014
Degenerate Resistive Switching and Ultrahigh Density Storage in Resistive Memory.
CoRR, 2014

2004
Extracellular recordings from patterned neuronal networks using planar microelectrode arrays.
IEEE Trans. Biomed. Eng., 2004

2000
Aligned microcontact printing of micrometer-scale poly-L-Lysine structures for controlled growth of cultured neurons on planar microelectrode arrays.
IEEE Trans. Biomed. Eng., 2000


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