Linas Mockus

According to our database, Linas Mockus authored at least 11 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Explainable AI and Robustness-Based Test and Evaluation of Reinforcement Learning.

Ali K. Raz, Kshitij Mall, Sean Matthew Nolan, Winston Levin, Linas Mockus, Kristopher L. Ezra, Ahmad Mia, Kyle R. Williams, Julie Parish

IEEE Trans. Aerosp. Electron. Syst., October, 2024

2020

System of systems uncertainty quantification using machine learning techniques with smart grid application.

Ali K. Raz, Paul C. Wood, Linas Mockus, Daniel A. DeLaurentis

Syst. Eng., 2020

2019

Experiences in Evolving System-of-Systems Engineering Methodology to Address Pain Points.

Cesare Guariniello, Ali K. Raz, Linas Mockus, Daniel DeLaurentis

Proceedings of the 14th Annual Conference System of Systems Engineering, 2019

2018

Identifying Interactions for Information Fusion System Design Using Machine Learning Techniques.

Ali K. Raz, Paul Wood, Linas Mockus, Daniel A. DeLaurentis, James Llinas

Proceedings of the 21st International Conference on Information Fusion, 2018

Sufficient Statistics for Optimal Decentralized Control in System of Systems.

Nikhil Nigam, Sanjay Lall, Pedram Hovareshti, Kristopher L. Ezra, Linas Mockus, Devendra Tolani, Shawn Sloan

Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018

2016

A Decomposition Strategy for the Variational Inference of Complex Systems.

José M. Laínez-Aguirre, Linas Mockus, Seza Orçun, Gary Blau, Gintaras V. Reklaitis

Technometrics, 2016

Developing Mathematical Formulations for the Integrated Problem of Sensors, Weapons, and Targets.

Kristopher L. Ezra, Daniel A. DeLaurentis, Linas Mockus, Joseph F. Pekny

J. Aerosp. Inf. Syst., 2016

2015

A stochastic programming approach for the Bayesian experimental design of nonlinear systems.

José M. Laínez-Aguirre, Linas Mockus, Gintaras V. Reklaitis

Comput. Chem. Eng., 2015

2012

Simulation-optimization approach to clinical trial supply chain management with demand scenario forecast.

Ye Chen, Linas Mockus, Seza Orçun, Gintaras V. Reklaitis

Comput. Chem. Eng., 2012

2011

A Bayesian Approach to Pharmaceutical Product Quality Risk Quantification.

Linas Mockus, José Miguel Laínez, Gintaras V. Reklaitis, Lee Kirsch

Informatica, 2011

1997

Bayesian approach for randomization of heuristic algorithms of discrete programming.

Jonas Mockus, Audris Mockus, Linas Mockus

Proceedings of the Randomization Methods in Algorithm Design, 1997