Timothy J. Draelos

发表

A new method for producing automated seismic bulletins: Probabilistic event detection, association, and location

Sanford Ballard, Christopher John Young, Timothy J. Draelos, 2015 .

Improved Bulletin Generation Using an Iterative Processing Framework

Christopher John Young, Timothy J. Draelos, Sanford Ballard, 2015 .

false e vent s creening u sing d ata m ining in Historical a rchives

Michael J. Procopio, Christopher John Young, Timothy J. Draelos, 2012 .

Experiments on Adaptive Self-Tuning of Seismic Signal Detector Parameters

Eric P. Chael, Christopher John Young, Timothy J. Draelos, 2016 .

Adaptive critic designs for host-based intrusion detection

Michael Joseph Collins, Timothy J. Draelos, Donald C. Wunsch, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Small Circuits for Cryptography

Timothy J. Draelos, Mark Dolan Torgerson, Richard Crabtree Schroeppel, 2005 .

PEDAL Probabilistic Event Detection Association and Location.

Sanford Ballard, Christopher John Young, Timothy J. Draelos, 2013 .

PEDAL: A New Event Detection and Signal Association Algorithm.

Sanford Ballard, Christopher John Young, Timothy J. Draelos, 2011 .

Seismic Phase Identification with Speech Recognition Algorithms.

Timothy J. Draelos, Stephen Heck, Jennifer Galasso, 2018 .

Resistive Memory for Neuromorphic Algorithm Acceleration.

Steven J. Plimpton, Conrad D. James, Timothy J. Draelos, 2015 .

Distributed Denial-of-Service Characterization

Timothy J. Draelos, Philip L. Campbell, Brian P. Van Leeuwen, 2003 .

Hybrid cryptography key management.

Michael Joseph Collins, Timothy J. Draelos, Cheryl L. Beaver, 2003 .

Key management and encryption under the bounded storage model.

Timothy J. Draelos, William Erik Anderson, William Douglas Neumann, 2005 .

The Pillars of Information Sharing: Anonymity and Analysis.

George Cybenko, Paul Thompson, Timothy J. Draelos, 2007 .

False Event Screening Using Data Mining in Historical Archives

Michael J. Procopio, Timothy J. Draelos, Jennifer E. Lewis, 2012 .

Dynamic Analysis of Executables to Detect and Characterize Malware

Conrad D. James, Joe B. Ingram, Christopher C. Lamb, 2017, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

ECDSA B-233 with Precomputation 1.0 Beta Version

Timothy J. Draelos, Richard Crabtree Schroeppel, Donald R. Gallup, 2009 .

Refinement and Testing of the PEDAL Event Detection and Signal Association Algorithm.

Sanford Ballard, Christopher John Young, Timothy J. Draelos, 2012 .

Impacts of collisions within hashing algorithms and safeguard data.

Timothy J. Draelos, William D. Anderson, W. D. Anderson, 2006 .

Anonymous Authenticated Communication for Secure Sharing of SCADA and Control System Information.

Timothy J. Draelos, 2007 .

Neurogenesis deep learning: Extending deep networks to accommodate new classes

Conrad D. James, Craig M. Vineyard, Christopher C. Lamb, 2016, 2017 International Joint Conference on Neural Networks (IJCNN).

Adaptive Self-Tuning of Signal Detection Parameters.

Eric P. Chael, Christopher John Young, Timothy J. Draelos, 2017 .

Probabilistic Event Detection Association and Location (PEDAL).

Sanford Ballard, Christopher John Young, Timothy J. Draelos, 2011 .

A Low-Power VHDL Design for an Elliptic Curve Digital Signature Chip

Timothy J. Draelos, Cheryl L. Beaver, Richard Crabtree Schroeppel, 2002 .

REFINEMENT AND TESTING OF THE PROBABILISTIC EVENT DETECTION ASSOCIATION AND LOCATION ALGORITHM.

Sanford Ballard, Christopher John Young, Timothy J. Draelos, 2013 .

Dynamic Tuning of Seismic Signal Detector Trigger Levels for Local Networks

Eric P. Chael, Christopher John Young, Timothy J. Draelos, 2018 .

Probabilistic Event Detection, Association and Location using Machine Learning (PEDAL_ML)

Christopher John Young, Timothy J. Draelos, Sanford Ballard, 2010 .

Parallelism of the SANDstorm hash algorithm.

Timothy J. Draelos, Mark Dolan Torgerson, Richard Crabtree Schroeppel, 2009 .

Deep Learning Models Augment Analyst Decisions for Event Discrimination

Timothy J. Draelos, Kristine L. Pankow, Lisa Linville, 2019, Geophysical Research Letters.

Neurogenesis Deep Learning pdf

Conrad D. James, Craig M. Vineyard, Christopher C. Lamb, 2016, ISNN 2017.

Final report for LDRD Project 93633 : new hash function for data protection.

Eric Anderson, Timothy J. Draelos, Keith Michael Tolk, 2009 .

NEUROGENIC DEEP LEARNING

Conrad D. James, Timothy J. Draelos, James B. Aimone, 2016 .

Submission to NIST : Cipher-State ( CS ) Mode of Operation for AES

Timothy J. Draelos, Richard C. Schroeppel, Mark D. Torgerson, 2004 .