Linas Mockus

11 papers C 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
Explainable AI and Robustness-Based Test and Evaluation of Reinforcement Learning.
IEEE Trans. Aerosp. Electron. Syst.
Ali K. Raz, Kshitij Mall, Sean Matthew Nolan, Winston Levin, Linas Mockus, Kristopher L. Ezra, Ahmad Mia, Kyle R. Williams, Julie Parish
2020 J jnl
System of systems uncertainty quantification using machine learning techniques with smart grid application.
Syst. Eng.
Ali K. Raz, Paul C. Wood, Linas Mockus, Daniel A. DeLaurentis
2019 — conf
Experiences in Evolving System-of-Systems Engineering Methodology to Address Pain Points.
SoSE
Cesare Guariniello, Ali K. Raz, Linas Mockus, Daniel DeLaurentis
2018 C conf
Identifying Interactions for Information Fusion System Design Using Machine Learning Techniques.
FUSION
Ali K. Raz, Paul Wood, Linas Mockus, Daniel A. DeLaurentis, James Llinas
2018 — conf
Sufficient Statistics for Optimal Decentralized Control in System of Systems.
AI4I
Nikhil Nigam, Sanjay Lall, Pedram Hovareshti, Kristopher L. Ezra, Linas Mockus, Devendra Tolani, Shawn Sloan
2016 J jnl
A Decomposition Strategy for the Variational Inference of Complex Systems.
Technometrics
José M. Laínez-Aguirre, Linas Mockus, Seza Orçun, Gary Blau, Gintaras V. Reklaitis
2016 J jnl
Developing Mathematical Formulations for the Integrated Problem of Sensors, Weapons, and Targets.
J. Aerosp. Inf. Syst.
Kristopher L. Ezra, Daniel A. DeLaurentis, Linas Mockus, Joseph F. Pekny
2015 J jnl
A stochastic programming approach for the Bayesian experimental design of nonlinear systems.
Comput. Chem. Eng.
José M. Laínez-Aguirre, Linas Mockus, Gintaras V. Reklaitis
2012 J jnl
Simulation-optimization approach to clinical trial supply chain management with demand scenario forecast.
Comput. Chem. Eng.
Ye Chen, Linas Mockus, Seza Orçun, Gintaras V. Reklaitis
2011 J jnl
A Bayesian Approach to Pharmaceutical Product Quality Risk Quantification.
Informatica
Linas Mockus, José Miguel Laínez, Gintaras V. Reklaitis, Lee Kirsch
1997 — conf
Bayesian approach for randomization of heuristic algorithms of discrete programming.
Randomization Methods in Algorithm Design
Jonas Mockus, Audris Mockus, Linas Mockus