Conrad D. James

Publication Activity (10 Years)

Years Active: 2000-2020
Publications (10 Years): 27

Top Topics

Malicious Behavior

Top Venues

Publications

Ojas Parekh, Cynthia A. Phillips, Conrad D. James, James B. Aimone
Constant-Depth and Subcubic-Size Threshold Circuits for Matrix Multiplication. CoRR (2020)
Amir Borna, Tony R. Carter, Paul DeRego, Conrad D. James, Peter D. D. Schwindt
Magnetic Source Imaging Using a Pulsed Optically Pumped Magnetometer Array. IEEE Trans. Instrum. Meas. 68 (2) (2019)
Tu-Thach Quach, Sapan Agarwal, Conrad D. James, Matthew J. Marinella, James B. Aimone
Sparse Data Acquisition on Emerging Memory Architectures. IEEE Access 7 (2019)
Matthew J. Marinella, Sapan Agarwal, Alexander H. Hsia, Isaac Richter, Robin Jacobs-Gedrim, John Niroula, Steven J. Plimpton, Engin Ipek, Conrad D. James
Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator. IEEE J. Emerg. Sel. Topics Circuits Syst. 8 (1) (2018)
Aleksandra Faust, James B. Aimone, Conrad D. James, Lydia Tapia
Resilient Computing with Reinforcement Learning on a Dynamical System: Case Study in Sorting. CDC (2018)
Aleksandra Faust, James B. Aimone, Conrad D. James, Lydia Tapia
Resilient Computing with Reinforcement Learning on a Dynamical System: Case Study in Sorting. CoRR (2018)
Felix Wang, Tu-Thach Quach, Jason Wheeler, James B. Aimone, Conrad D. James
Sparse Coding for N-Gram Feature Extraction and Training for File Fragment Classification. IEEE Trans. Inf. Forensics Secur. 13 (10) (2018)
Ojas Parekh, Cynthia A. Phillips, Conrad D. James, James B. Aimone
Constant-Depth and Subcubic-Size Threshold Circuits for Matrix Multiplication. SPAA (2018)
Michael R. Smith, Joe Ingram, Christopher C. Lamb, Timothy Draelos, Justin E. Doak, James B. Aimone, Conrad D. James
Dynamic Analysis of Executables to Detect and Characterize Malware. ICMLA (2018)
Stephen J. Verzi, Fredrick H. Rothganger, Ojas Parekh, Tu-Thach Quach, Nadine E. Miner, Craig M. Vineyard, Conrad D. James, James B. Aimone
Computing with Spikes: The Advantage of Fine-Grained Timing. Neural Comput. 30 (10) (2018)
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
Tracking Cyber Adversaries with Adaptive Indicators of Compromise. CoRR (2017)
Aaron J. Hill, Jonathon W. Donaldson, Fredrick H. Rothganger, Craig M. Vineyard, David R. Follett, Pamela L. Follett, Michael R. Smith, Stephen J. Verzi, William Severa, Felix Wang, James B. Aimone, John H. Naegle, Conrad D. James
A Spike-Timing Neuromorphic Architecture. ICRC (2017)
William M. Severa, Jerilyn A. Timlin, Suraj Kholwadwala, Conrad D. James, James B. Aimone
Data-driven Feature Sampling for Deep Hyperspectral Classification and Segmentation. CoRR (2017)
Robin B. Jacobs-Gedrim, Sapan Agarwal, Kathrine E. Knisely, Jim E. Stevens, Michael S. van Heukelom, David R. Hughart, John Niroula, Conrad D. James, Matthew J. Marinella
Impact of Linearity and Write Noise of Analog Resistive Memory Devices in a Neural Algorithm Accelerator. ICRC (2017)
Matthew J. Marinella, Sapan Agarwal, Alexander H. Hsia, Isaac Richter, Robin Jacobs-Gedrim, John Niroula, Steven J. Plimpton, Engin Ipek, Conrad D. James
Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator. CoRR (2017)
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
Neurogenesis deep learning: Extending deep networks to accommodate new classes. IJCNN (2017)
Stephen J. Verzi, Craig M. Vineyard, Eric D. Vugrin, Meghan A. Galiardi, Conrad D. James, James B. Aimone
Optimization-based computation with spiking neurons. IJCNN (2017)
William Severa, Ojas Parekh, Conrad D. James, James B. Aimone
A Combinatorial Model for Dentate Gyrus Sparse Coding. Neural Comput. 29 (1) (2017)
Michael R. Smith, Joe B. Ingram, Christopher C. Lamb, Timothy J. Draelos, Justin E. Doak, James B. Aimone, Conrad D. James
Dynamic Analysis of Executables to Detect and Characterize Malware. CoRR (2017)
David R. Follett, Duncan Townsend, Pamela L. Follett, Gabe D. Karpman, John H. Naegle, Roger A. Suppona, James B. Aimone, Conrad D. James
Neuromorphic data microscope. NCS (2017)
Michael R. Smith, Aaron J. Hill, Kristofor D. Carlson, Craig M. Vineyard, Jonathon Donaldson, David R. Follett, Pamela L. Follett, John H. Naegle, Conrad D. James, James B. Aimone
A Digital Neuromorphic Architecture Efficiently Facilitating Complex Synaptic Response Functions Applied to Liquid State Machines. CoRR (2017)
Michael R. Smith, Aaron J. Hill, Kristofor D. Carlson, Craig M. Vineyard, Jonathon Donaldson, David R. Follett, Pamela L. Follett, John H. Naegle, Conrad D. James, James B. Aimone
A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines. IJCNN (2017)
Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone
Quantifying neural information content: A case study of the impact of hippocampal adult neurogenesis. IJCNN (2016)
Sapan Agarwal, Steven J. Plimpton, David R. Hughart, Alexander H. Hsia, Isaac Richter, Jonathan A. Cox, Conrad D. James, Matthew J. Marinella
Resistive memory device requirements for a neural algorithm accelerator. IJCNN (2016)
Timothy J. Draelos, Nadine E. Miner, Christopher C. Lamb, Craig M. Vineyard, Kristofor D. Carlson, Conrad D. James, James B. Aimone
Neurogenesis Deep Learning. CoRR (2016)
William Severa, Ojas Parekh, Kristofor D. Carlson, Conrad D. James, James B. Aimone
Spiking network algorithms for scientific computing. ICRC (2016)
Fred Rothganger, Conrad D. James, James B. Aimone
Computing with dynamical systems. ICRC (2016)
Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone, Gregory L. Heileman
Repeated play of the SVM game as a means of adaptive classification. IJCNN (2015)
Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone, Gregory L. Heileman
MapReduce SVM Game. INNS Conference on Big Data (2015)
Jonathan A. Cox, Conrad D. James, James B. Aimone
A Signal Processing Approach for Cyber Data Classification with Deep Neural Networks. Complex Adaptive Systems (2015)
Andrew J. Lohn, Patrick R. Mickel, Conrad D. James, Matthew J. Marinella
Degenerate Resistive Switching and Ultrahigh Density Storage in Resistive Memory. CoRR (2014)
Conrad D. James, Andrew J. H. Spence, Natalie M. Dowell-Mesfin, Rifat J. Hussain, Karen L. Smith, Harold G. Craighead, Michael S. Isaacson, William Shain, James N. Turner
Extracellular recordings from patterned neuronal networks using planar microelectrode arrays. IEEE Trans. Biomed. Eng. 51 (9) (2004)
Conrad D. James, Robert Davis, M. Meyer, A. Turner, S. Turner, G. Withers, Lance C. Kam, G. Banker, Harold G. Craighead, Michael S. Isaacson, James N. Turner, William Shain
Aligned microcontact printing of micrometer-scale poly-L-Lysine structures for controlled growth of cultured neurons on planar microelectrode arrays. IEEE Trans. Biomed. Eng. 47 (1) (2000)