Evolving processing speed asymmetries and hemispheric interactions in a neural network model. - Alexander Grushin; James A. Reggia (Neurocomputing, 2005)

Stigmergic self-assembly of prespecified artificial structures in a constrained and continuous environment. - Alexander Grushin; James A. Reggia (Integr. Comput. Aided Eng., 2006)

Swarm Intelligence Systems Using Guided Self-Organization for Collective Problem Solving. - Alejandro Rodríguez 003; Alexander Grushin; James A. Reggia (Adv. Complex Syst., 2007)

Adapting Swarm Intelligence for the Self-Assembly of Prespecified Artificial Structures. - Alexander Grushin (2007)

Automated design of distributed control rules for the self-assembly of prespecified artificial structures. - Alexander Grushin; James A. Reggia (Robotics Auton. Syst., 2008)

Graph-based methods for the analysis of large-scale multiagent systems. - Wilbur Peng; William Krueger; Alexander Grushin; Patrick Carlos; Vikram Manikonda; Michel Santos (AAMAS (1), 2009)

Parsimonious rule generation for a nature-inspired approach to self-assembly. - Alexander Grushin; James A. Reggia (ACM Trans. Auton. Adapt. Syst., 2010)

Mixed-initiative distributed simultaneous (MDS) planning. - Wei Chen; Alexander Grushin; Jason H. Li (CTS, 2012)

We-Plan: A software system for Mixed-Initiative Distributed Simultaneous (MDS) planning. - Wei Chen; Alexander Grushin (CTS, 2013)

Robust human action recognition via long short-term memory. - Alexander Grushin; Derek Monner; James A. Reggia; Ajay Mishra (IJCNN, 2013)

Synthetic Social Media Data Generation. - Yalin E. Sagduyu; Alexander Grushin; Yi Shi 001 (IEEE Trans. Comput. Soc. Syst., 2018)

Extracting Grammars from a Neural Network Parser for Anomaly Detection in Unknown Formats. - Alexander Grushin; Walt Woods (CoRR, 2021)

Anomaly Detection with Neural Parsers That Never Reject. - Alexander Grushin; Walt Woods (SP (Workshops), 2022)

Safety Margins for Reinforcement Learning. - Alexander Grushin; Walt Woods; Alvaro Velasquez; Simon Khan (CoRR, 2023)

Training Neural Networks with Internal State, Unconstrained Connectivity, and Discrete Activations. - Alexander Grushin (CoRR, 2023)

Combining AI Control Systems and Human Decision Support via Robustness and Criticality. - Walt Woods; Alexander Grushin; Simon Khan; Alvaro Velasquez (CoRR, 2024)

Criticality and Safety Margins for Reinforcement Learning. - Alexander Grushin; Walt Woods; Alvaro Velasquez; Simon Khan (CoRR, 2024)