A Macroscopic System Dynamics Model for a Generic Airport. - Gonzalo Barbeito; Maximilian Moll; Stefan Pickl; Martin Zsifkovits (OR, 2016)

Utilizing Dual Information for Moving Target Search Trajectory Optimization. - Manon Raap; Maximilian Moll; Martin Zsifkovits; Stefan Pickl (SCOR, 2016)

Decision Support for Wide Area Search in a Radiological Threat Scenario - For Intelligent Reachback Using Complex DSS Architectures. - Manon Raap; Stefan Pickl; Maximilian Moll; Alexander B. Bordetsky (MESAS, 2017)

The European Air Transport System: A Methodological Perspective on System Dynamics Modeling. - Gonzalo Barbeito; Ulrike Kluge; Marcia Urban; Maximilian Moll; Martin Zsifkovits; Kay Plötner; Stefan Pickl (OR, 2017)

Construction and experimental validation of a smart optimization framework. - Maximilian Moll (2018)

A Systemic Approach for Early Warning in Crisis Prevention and Management. - Achim Kuwertz; Maximilian Moll; Jennifer Sander; Stefan Pickl (IHSED, 2019)

Analysis and Optimization of the Resilience Enhancement Circle via Data Farming. - Mario Dally; Sebastian Jahnen; Maximilian Moll; Stefan Pickl (MESAS, 2019)

Deterministic and Stochastic Simulation: A Combined Approach to Passenger Routing in Railway Systems. - Gonzalo Barbeito; Maximilian Moll; Wolfgang Bein; Stefan Pickl (OR, 2019)

Predictive Analytics in Aviation Management: Passenger Arrival Prediction. - Maximilian Moll; Thomas Berg; Simon Ewers; Michael Schmidt (OR, 2019)

Routing in Reinforcement Learning Markov Chains. - Maximilian Moll; Dominic Weller (OR, 2021)

Resource Optimization in Mass Casualty Management: A Comparison of Methods. - Marian Sorin Nistor; Maximilian Moll; Truong Son Pham; Stefan Wolfgang Pickl; Dieter Budde (OR, 2021)

Automatic Concrete Bridge Crack Detection from Strain Measurements: A Preliminary Study. - Rudy Milani; Tarik Sahin; Max von Danwitz; Maximilian Moll; Alexander Popp; Stefan Pickl (CRITIS, 2022)

GTRF: Generalized Trade Reduction Framework for Double-Auction Mechanisms. - Jacob Ehrlich; Maximilian Moll; Stefan Pickl (OR, 2022)

Iterated Boxed Pigs Game: A Reinforcement Learning Approach. - Rudy Milani; Maximilian Moll; Stefan Pickl (OR, 2022)

Do Artificial Agents Reproduce Human Strategies in the Advisers' Game? - Maximilian Moll; Jurgis Karpus; Bahador Bahrami (OR, 2022)

Analysis, Combination and Integration of Neuroevolution and Backpropagation Algorithms for Gaming Environment. - Andrei Darii; Maximilian Moll; Marian Sorin Nistor; Stefan Pickl; Ovidiu-Constantin Novac; Cornelia Mihaela Novac; Mircea Gordan; Cornelia Emilia Gordan 001 (ECAI, 2023)

A Bayesian Network Approach to Explainable Reinforcement Learning with Distal Information. - Rudy Milani; Maximilian Moll; Renato De Leone; Stefan Pickl (Sensors, 2023)

Detection of Important States through an Iterative Q-value Algorithm for Explainable Reinforcement Learning. - Rudy Milani; Maximilian Moll; Renato De Leone (HICSS, 2024)

Machine Learning in Vehicle Travel Time Estimation: A Brief Technological Perspective and Review. - Truong Son Pham; Marian Sorin Nistor; Loi Cao; Markus Gerschberger; Maximilian Moll (HICSS, 2024)

Explainable and Human-Grounded AI for Decision Support Systems: The Theory of Epistemic Quasi-Partnerships. - John Dorsch; Maximilian Moll (CoRR, 2024)

A generalized trade reduction mechanism. - Jacob Ehrlich; Maximilian Moll; Stefan Pickl (Central Eur. J. Oper. Res., 2025)

On the Correlation and Predictability of Topological Measures in Transportation Networks. - Rudy Milani; Marian Sorin Nistor; Maximilian Moll; Stefan Pickl (Oper. Res. Forum, 2025)

A case study for cyber-attack detection using quantum variational circuits. - Maximilian Moll; Leonhard Kunczik (Quantum Mach. Intell., 2025)