Jeremy Straub

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 74

Top Topics

Facial Recognition

Artificial Intelligence

Blackboard Architecture

Top Venues

Publications

Jeremy Straub
Development of an Adaptive Multi-Domain Artificial Intelligence System Built using Machine Learning and Expert Systems Technologies. CoRR (2024)
Kevin Setterstrom, Jeremy Straub
Analysis of the Efficacy of the Use of Inertial Measurement and Global Positioning System Data to Reverse Engineer Automotive CAN Bus Steering Signals. CoRR (2024)
Jordan Milbrath, Jonathan Rivard, Jeremy Straub
Implementation and Evaluation of a Gradient Descent-Trained Defensible Blackboard Architecture System. CoRR (2024)
Jordan Milbrath, Jeremy Straub
Introduction and Assessment of the Addition of Links and Containers to the Blackboard Architecture. CoRR (2023)
Jeremy Straub
Development and Analysis of P2SCP: A Paradigm for Penetration Testing of Systems that Cannot be Subjected to the Risk of Penetration Testing. CoRR (2023)
Matthew Tassava, Cameron Kolodjski, Jeremy Straub
Development of a System Vulnerability Analysis Tool for Assessment of Complex Mission Critical Systems. CoRR (2023)
Jonathan Rivard, Jeremy Straub
Extension of the Blackboard Architecture with Common Properties and Generic Rules. CoRR (2023)
Kevin Setterstrom, Jeremy Straub
Development of an Autonomous Reverse Engineering Capability for Controller Area Network Messages to Support Autonomous Control Retrofits. CoRR (2023)
Jack Hance, Jeremy Straub
Development of a Multi-purpose Fuzzer to Perform Assessment as Input to a Cybersecurity Risk Assessment and Analysis System. CoRR (2023)
Ben Clark, Matthew Tassava, Cameron Kolodjski, Jeremy Straub
Analysis of the Benefits and Efficacy of the Addition of Variants and Reality Paths to the Blackboard Architecture. CoRR (2023)
Jeremy Straub
A modern Blackboard Architecture implementation with external command execution capability. Softw. Impacts 11 (2022)
Jeremy Straub
Impact of techniques to reduce error in high error rule-based expert system gradient descent networks. J. Intell. Inf. Syst. 58 (3) (2022)
Fateen Ahmed, Jeremy Straub
Initial Work on the Development of a Hardware-Based Gradient Descent Trained Expert System. Syst. 10 (5) (2022)
Ryan Suttle, Scott Hogan, Rachel Aumaugher, Matthew Spradling, Zak Merrigan, Jeremy Straub
Deceptive Content Labeling Survey Data from Two U.S. Midwestern Universities. Data 7 (3) (2022)
Dominic Rosch-Grace, Jeremy Straub
Software-Based Mass Customization of Artificial Neural Networks and its Benefits. CSCI (2022)
Jeremy Straub
Automating the Design and Development of Gradient Descent Trained Expert System Networks. CoRR (2022)
Jeremy Straub
Development of an Autonomous Retesting Penetration Testing Paradigm. CSCI (2022)
Jeremy Straub, Matthew Spradling, Bob Fedor
Assessment of Consumer Perception of Online Content Label Efficacy by Income Level, Party Affiliation and Online Use Levels. Inf. 13 (5) (2022)
Jeremy Straub
Assessment of the comparative efficiency of software-based Boolean, electronic, software-based fractional value and simplified quantum principal expert systems. Expert Syst. J. Knowl. Eng. 39 (4) (2022)
Jack Hance, Jordan Milbrath, Noah Ross, Jeremy Straub
Distributed Attack Deployment Capability for Modern Automated Penetration Testing. Comput. 11 (3) (2022)
Jeremy Straub
Automating the design and development of gradient descent trained expert system networks. Knowl. Based Syst. 254 (2022)
Jeremy Straub
Increasing Trust in Artificial Intelligence with a Defensible AI Technique. AIPR (2022)
Dominic Rosch-Grace, Jeremy Straub
Considering the Implications of Artificial Intelligence, Quantum Computing, and Cybersecurity. CSCI (2022)
Matthew Spradling, Jeremy Straub
Analysis of the Impact of Age, Education and Gender on Individuals' Perception of Label Efficacy for Online Content. Inf. 13 (11) (2022)
Darius Kianersi, Suraj Uppalapati, Anirudh Bansal, Jeremy Straub
Evaluation of a Reputation Management Technique for Autonomous Vehicles. Future Internet 14 (2) (2022)
Matthew Spradling, Jeremy Straub
Evaluation of the Factors That Impact the Perception of Online Content Trustworthiness by Income, Political Affiliation and Online Usage Time. Future Internet 14 (11) (2022)
Andrew Jones, Jeremy Straub
Simulation and Analysis of Self-Replicating Robot Decision-Making Systems. Comput. 10 (1) (2021)
Dominic Rosch-Grace, Jeremy Straub
Consideration of the Need for Quantum Grid Computing. CoRR (2021)
Jeremy Straub
Defining, Evaluating, Preparing for and Responding to a Cyber Pearl Harbor. CoRR (2021)
Matthew Spradling, Jeremy Straub, Jay Strong
Protection from 'Fake News': The Need for Descriptive Factual Labeling for Online Content. Future Internet 13 (6) (2021)
Jeremy Straub
Expert System Gradient Descent Style Training: Development of a Defensible Artificial Intelligence Technique. CoRR (2021)
Jeremy Straub
Analysis of the changing demographics of computing doctoral degree recipients at U.S. universities and the implications of change. Inroads 12 (1) (2021)
Xinyu "Sherwin" Liang, Jeremy Straub
Deceptive Online Content Detection Using Only Message Characteristics and a Machine Learning Trained Expert System. Sensors 21 (21) (2021)
Jeremy Straub
Assessment of Gradient Descent Trained Rule-Fact Network Expert System Multi-Path Training Technique Performance. Comput. 10 (8) (2021)
Jeremy Straub
Evaluating the Use of Technology Readiness Levels (TRLs) for Cybersecurity Systems. SysCon (2021)
Jeremy Straub
Gradient descent training expert system. Softw. Impacts 10 (2021)
Benjamin Fitzpatrick, Xinyu "Sherwin" Liang, Jeremy Straub
Fake News and Phishing Detection Using a Machine Learning Trained Expert System. CoRR (2021)
Jeremy Straub
Expert system gradient descent style training: Development of a defensible artificial intelligence technique. Knowl. Based Syst. 228 (2021)
Jeremy Straub
Consideration of the Use of Smart Grid Cyberattacks as an Influence Attack and Appropriate Deterrence. CSCI (2021)
Logan Brown, Reid Pezewski, Jeremy Straub
Determining Sentencing Recommendations and Patentability Using a Machine Learning Trained Expert System. CoRR (2021)
Ryan Suttle, Scott Hogan, Rachel Aumaugher, Matthew Spradling, Zak Merrigan, Jeremy Straub
University Community Members' Perceptions of Labels for Online Media. Future Internet 13 (11) (2021)
Jeremy Straub
Modeling Attack, Defense and Threat Trees and the Cyber Kill Chain, ATT&CK and STRIDE Frameworks as Blackboard Architecture Networks. SmartCloud (2020)
Matthew Spradling, Jeremy Straub, Jay Strong
Introducing & Evaluating 'Nutrition Facts' for Online Content. Cyber Security (2020)
Jack Hance, Jeremy Straub
Use of Bash History Novelty Detection for Identification of Similar Source Attack Generation. TrustCom (2020)
Maria Clare Lusardi, Isaac Dubovoy, Jeremy Straub
Determining the Impact of Cybersecurity Failures During and Attributable to Pandemics and Other Emergency Situations. AIPR (2020)
Nathaniel Redden, Ben Bernard, Jeremy Straub
Creating Simple Adversarial Examples for Speech Recognition Deep Neural Networks. MASS Workshops (2019)
Jeremy Straub
Cyber Mutual Assured Destruction as a System of Systems and the Implications for System Design. SoSE (2019)
Jeremy Straub
Assessment of correlations between computer science department performance and college type. Inroads 10 (4) (2019)
Collin Gros, Jeremy Straub
Video Recordings of Male Face and Neck Movements for Facial Recognition and Other Purposes. Data 4 (3) (2019)
William Clemons, Jeremy Straub
Human Male Body Images from Multiple Perspectives with Multiple Lighting Settings. Data 4 (1) (2019)
Collin Gros, Jeremy Straub
A Dataset for Comparing Mirrored and Non-Mirrored Male Bust Images for Facial Recognition. Data 4 (1) (2019)
Rahul Gomes, Anne Denton, Jeremy Straub
Comparative study of fitness function in genetic algorithm for optimal site allocation using Lidar. EIT (2019)
Brandon Stoick, Zhenyang Luo, Dibyanshu Tibrewal, Kevin Setterstrom, Andrew Jones, Jeremy Straub
Developing a Framework for Autonomous Control Software for a Human Colony on Mars. EIT (2019)
Isaac Burton, Jeremy Straub
Autonomous Distributed Electronic Warfare System of Systems. SoSE (2019)
Rodi Murad, Andrew Jones, Jeremy Straub
Use of Computer Vision for White Line Detection for Robotic Applications. EIT (2019)
Pann Ajjimaporn, Michael Gibbons, Brandon Stoick, Jeremy Straub
Automated Student Assessment for Cybersecurity Courses. SoSE (2019)
Ryan Mower, Ben Bernard, Jeremy Straub
Graphics Card Based Fuzzing. MASS Workshops (2019)
Jeremy Straub
Cybersecurity Considerations for Image Pattern Recognition Applications. AIPR (2018)
Samuel Jackson, Jeremy Straub, Scott Kerlin
Exploring a Novel Cryptographic Solution for Securing Small Satellite Communications. Int. J. Netw. Secur. 20 (5) (2018)
Wade Trappe, Jeremy Straub
Cybersecurity: A New Open Access Journal. J. Cybersecur. Priv. 1 (1) (2018)
Demitrius Fenton, Terry Traylor, Guy Hokanson, Jeremy Straub
Integrating Cyber Range Technologies and Certification Programs to Improve Cybersecurity Training Programs. ICL (2) (2018)
Wade Trappe, Jeremy Straub
Journal of Cybersecurity and Privacy: A New Open Access Journal. J. Cybersecur. Priv. 1 (1) (2018)
Karanam Ravichandran Dayananda, Jeremy Straub
Zone based hybrid approach for clustering and data collection in wireless sensor networks. CONIELECOMP (2017)
Jeremy Straub
Effects of international trafficking in arms regulations changes. Commun. ACM 60 (1) (2017)
Jeremy Straub, John McMillan, Brett Yaniero, Mitchell Schumacher, Abdullah Almosalami, Kelvin Boatey, Jordan Hartman
CyberSecurity considerations for an interconnected self-driving car system of systems. SoSE (2017)
Jeremy Straub, Wafaa Amer, Christian Ames, Karanam Ravichandran Dayananda, Andrew Jones, Goutham Miryala, Nathan Olson, Noah Rockenback, Franklin Slaby, Santipab Tipparach, Samuel Fehringer, David Jedynak, Haiming Lou, Dakota Martin, Marc Olberding, Austin Oltmanns, Brady Goenner, Jessie Lee, Dylan Shipman
An internetworked self-driving car system-of-systems. SoSE (2017)
Michael Kuehn, Jared Estad, Jeremy Straub, Thomas Stokke, Scott Kerlin
An expert system for the prediction of student performance in an initial computer science course. EIT (2017)
San Ha Seo, Jeremy Straub
Comparative analysis of graph partitioning algorithms in context of computation offloading. EIT (2017)
Jeremy Straub, Scott Kerlin, David Whalen
Teaching software project management using project based learning (PBL) and group projects. EIT (2017)
Jeremy Straub, Scott Kerlin, Eunjin Kim
Analysis of student characteristics and feeling of efficacy in a first undergraduate artificial intelligence course. EIT (2017)
Jeremy Straub
Automating maintenance for a one-way transmitting blackboard system used for autonomous multi-tier control. Expert Syst. J. Knowl. Eng. 33 (6) (2016)
Jeremy Straub
A Distributed Blackboard Approach Based Upon a Boundary Node Concept. J. Intell. Robotic Syst. 82 (3-4) (2016)
Jeremy Straub
Consideration of the versatility of the Open Prototype for Educational NanoSats CubeSat design. EIT (2016)
Michael Kuehn, Jarred Estad, Jeremy Straub, Thomas Stokke, Scott Kerlin
An Expert System for the Prediction of Student Performance in an Initial Computer Science Course (Abstract Only). SIGCSE (2016)
Jeremy Straub
Evaluation of high-altitude balloons as a learning technology. Int. J. Learn. Technol. 10 (1) (2015)
Samuel Jackson, Scott Kerlin, Jeremy Straub
POSTER: Implementing and Testing a Novel Chaotic Cryptosystem for Use in Small Satellites. CCS (2015)
Jeremy Straub, Hassan Reza
A Blackboard-style decision-making system for multi-tier craft control and its evaluation. J. Exp. Theor. Artif. Intell. 27 (6) (2015)
Jeremy Straub
POSTER: Blackboard-Based Electronic Warfare System. CCS (2015)
Sofiane Chaieb, Michael Wegerson, Benjamin Kading, Jeremy Straub, Ronald Marsh, David Whalen
The OpenOrbiter CubeSat as a system-of-systems (SoS) and how SoS engineering (SoSE) Aids CubeSat design. SoSE (2015)
Jeremy Straub
Comparing the effect of pruning on a best path and a naïve-approach blackboard solver. Int. J. Autom. Comput. 12 (5) (2015)
Jeremy Straub
Assessment of examinations in computer science doctoral education. Comput. Sci. Educ. 24 (1) (2014)
Jeremy Straub, Hassan Reza
The Use of the Blackboard Architecture for a Decision Making System for the Control of Craft with Various Actuator and Movement Capabilities. ITNG (2014)
Jeremy Straub
Evaluation of a Multi-Goal Solver for Use in a Blackboard Architecture. Int. J. Decis. Support Syst. Technol. 6 (1) (2014)
Jeremy Straub, Justin Huber
A Characterization of the Utility of Using Artificial Intelligence to Test Two Artificial Intelligence Systems. Comput. 2 (2) (2013)
Jeremy Straub, Eunjin Kim
Characterization of Extended and Simplified Intelligent Water Drop (SIWD) Approaches and Their Comparison to the Intelligent Water Drop (IWD) Approach. ICTAI (2013)
Jeremy Straub, Sebastian Hilsenbeck, Georg Schroth, Robert Huitl, Andreas Möller, Eckehard G. Steinbach
Fast relocalization for visual odometry using binary features. ICIP (2013)
Jeremy Straub
Super-resolution terrain map enhancement for navigation based on satellite imagery. Intelligent Robots and Computer Vision: Algorithms and Techniques (2012)
Monica A. Trifas, Jeremy Straub
A comparison of techniques for super-resolution evaluation. IQSP (2012)