Transferring Random Samples in Actuator Systems for Binary Damage Detection. - Tyler Cody; Stephen C. Adams; Peter A. Beling; Sherwood Polter; Kevin Farinholt; Nathan Hipwell; Ali Chaudhry; Kennet Castillo; Ryan Meekins (ICPHM, 2019)

A Systems Theoretic Perspective on Transfer Learning. - Tyler Cody; Stephen C. Adams; Peter A. Beling (SysCon, 2019)

Hierarchical Classification for Unknown Faults. - Stephen C. Adams; Tyler Cody; Peter A. Beling; Sherwood Polter; Kevin Farinholt (ICPHM, 2020)

Mesarovician Abstract Learning Systems. - Tyler Cody (AGI, 2021)

Trade-offs in Metric Learning for Bearing Fault Diagnosis. - Tyler Cody; Stephen C. Adams; Peter A. Beling (ICMLA, 2021)

Pareto-Optimal Active Learning with Cost. - Stephen C. Adams; Tyler Cody; Peter A. Beling (SMC, 2021)

Crown Jewels Analysis using Reinforcement Learning with Attack Graphs. - Rohit Gangupantulu; Tyler Cody; Abdul Rahman; Christopher Redino; Ryan Clark; Paul Park (SSCI, 2021)

Using Cyber Terrain in Reinforcement Learning for Penetration Testing. - Rohit Gangupantulu; Tyler Cody; Paul Park; Abdul Rahman; Logan Eisenbeiser; Dan Radke; Ryan Clark (CoRR, 2021)

Homomorphisms Between Transfer, Multi-task, and Meta-learning Systems. - Tyler Cody (AGI, 2022)

Core and Periphery as Closed-System Precepts for Engineering General Intelligence. - Tyler Cody; Niloofar Shadab; Alejandro Salado; Peter A. Beling (AGI, 2022)

On Valuing the Impact of Machine Learning Faults to Cyber-Physical Production Systems. - Tyler Cody; Stephen C. Adams; Peter A. Beling; Laura J. Freeman (COINS, 2022)

Using Cyber Terrain in Reinforcement Learning for Penetration Testing. - Rohit Gangupantulu; Tyler Cody; Paul Park; Abdul Rahman; Logan Eisenbeiser; Dan Radke; Ryan Clark; Christopher Redino (COINS, 2022)

Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs. - Tyler Cody; Abdul Rahman; Christopher Redino; Lanxiao Huang; Ryan Clark; Akshay Kakkar; Deepak Kushwaha; Paul Park; Peter A. Beling; Edward Bowen (DSC, 2022)

Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain. - Lanxiao Huang; Tyler Cody; Christopher Redino; Abdul Rahman; Akshay Kakkar; Deepak Kushwaha; Cheng Wang 040; Ryan Clark; Daniel Radke; Peter A. Beling; Edward Bowen (ICMLA, 2022)

Active Learning with Combinatorial Coverage. - Sai Prathyush Katragadda; Tyler Cody; Peter A. Beling; Laura J. Freeman (ICMLA, 2022)

Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing. - Tyler Cody; Erin Lanus; Daniel D. Doyle; Laura J. Freeman (ICST Workshops, 2022)

Closed Systems Paradigm for Intelligent Systems. - Niloofar Shadab; Tyler Cody; Alejandro Salado; Peter A. Beling (SysCon, 2022)

A survey of inverse reinforcement learning. - Stephen C. Adams; Tyler Cody; Peter A. Beling (Artif. Intell. Rev., 2022)

A Layered Reference Model for Penetration Testing with Reinforcement Learning and Attack Graphs. - Tyler Cody (CoRR, 2022)

Generative adversarial networks for data augmentation and transfer in credit card fraud detection. - Alex Langevin; Tyler Cody; Stephen C. Adams; Peter A. Beling (J. Oper. Res. Soc., 2022)

Empirically Measuring Transfer Distance for System Design and Operation. - Tyler Cody; Stephen C. Adams; Peter A. Beling (IEEE Syst. J., 2022)

Enhancing Exfiltration Path Analysis Using Reinforcement Learning. - Riddam Rishu; Akshay Kakkar; Cheng Wang 040; Abdul Rahman; Christopher Redino; Dhruv Nandakumar; Tyler Cody; Ryan Clark; Daniel Radke; Edward Bowen (CAMLIS, 2023)

Cascading Negative Transfer in Networks of Machine Learning Systems. - Tyler Cody; Peter A. Beling (ICAA, 2023)

Transfer Distance and Operating Envelopes to Detect Non-Stationarity in Cyber Environments. - Stephen C. Adams; Tyler Cody; Ramin Salman Roughani; Peter A. Beling (ICMLA, 2023)

Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error. - Tyler Cody; Laura J. Freeman (ICSTW, 2023)

Test & Evaluation Best Practices for Machine Learning-Enabled Systems. - Jaganmohan Chandrasekaran; Tyler Cody; Nicola McCarthy; Erin Lanus; Laura J. Freeman (CoRR, 2023)

A Systems-Theoretical Formalization of Closed Systems. - Niloofar Shadab; Tyler Cody; Alejandro Salado; Peter A. Beling (CoRR, 2023)

Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space. - Padmaksha Roy; Tyler Cody; Himanshu Singhal; Kevin Choi; Ming Jin 002 (CoRR, 2023)

A Systems Theory of Transfer Learning. - Tyler Cody; Peter A. Beling (IEEE Syst. J., 2023)

Whole Campaign Emulation with Reinforcement Learning for Cyber Test. - Tyler Cody; Emma Meno; Peter A. Beling; Laura J. Freeman (IEEE Instrum. Meas. Mag., 2023)

Towards a Process Algebra and Operator Theory for Learning System Objects. - Tyler Cody; Peter A. Beling (AGI, 2024)

Estimating Contact Force Rate Using Skin Deformation Cues. - Bingxu Li; Gregory J. Gerling; Tyler Cody (EuroHaptics (1), 2024)

EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs. - Haohui Wang; Yuzhen Mao; Yujun Yan; Yaoqing Yang; Jianhui Sun; Kevin Choi; Balaji Veeramani; Alison Hu; Edward Bowen; Tyler Cody; Dawei Zhou 003 (ICML, 2024)

On Extending the Automatic Test Markup Language (ATML) for Machine Learning. - Tyler Cody; Bingtong Li; Peter A. Beling (SysCon, 2024)

A Systems Theoretic Approach to Online Machine Learning. - Anli du Preez; Peter A. Beling; Tyler Cody (SysCon, 2024)

Discovering Command and Control Channels Using Reinforcement Learning. - Cheng Wang 040; Akshay Kakkar; Christopher Redino; Abdul Rahman; Ajinsyam S; Ryan Clark; Daniel Radke; Tyler Cody; Lanxiao Huang; Edward Bowen (CoRR, 2024)

Discovering Command and Control (C2) Channels on Tor and Public Networks Using Reinforcement Learning. - Cheng Wang 040; Christopher Redino; Abdul Rahman; Ryan Clark; Daniel Radke; Tyler Cody; Dhruv Nandakumar; Edward Bowen (CoRR, 2024)

Assured Autonomy Through Combinatorial Methods. - D. Richard Kuhn; M. S. Raunak 001; Raghu N. Kacker; Jaganmohan Chandrasekaran; Erin Lanus; Tyler Cody; Laura J. Freeman (Computer, 2024)

MeTTa-TMPAL: MeTTa-Based Architecture for a Self-writing Process Algebra of Learning. - Tyler Cody (AGI (1), 2025)

LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection. - Xinyue Zeng; Haohui Wang; Junhong Lin; Jun Wu 019; Tyler Cody; Dawei Zhou 003 (CoRR, 2025)

Exploring Core and Periphery Precepts in Biological and Artificial Intelligence: An Outcome-Based Perspective. - Niloofar Shadab; Tyler Cody; Alejandro Salado; Taylan G. Topcu; Mohammad Shadab; Peter A. Beling (CoRR, 2025)