Behind the Scenes of Scenario-Based Training: Understanding Scenario Design and Requirements in High-Risk and Uncertain Environments. - Nadia Saad Noori; Yan Wang 063; Tina Comes; Philipp Schwarz; Heide K. Lukosch (ISCRAM, 2017)

Policy Gaming for Humanitarian Missions. - Philipp Schwarz; Yan Wang 063; Stephan G. Lukosch; Heide K. Lukosch (ISCRAM, 2017)

The Role of Serious Gaming in Assisting Humanitarian Operations. - Yan Wang 063; Heide K. Lukosch; Philipp Schwarz (Int. J. Inf. Syst. Crisis Response Manag., 2019)

Importance of different facial parts for face detection networks. - Philipp Hofer; Michael Roland 001; Philipp Schwarz; Martin Schwaighofer; René Mayrhofer (IWBF, 2021)

Gait Recognition with DensePose Energy Images. - Philipp Schwarz; Josef Scharinger; Philipp Hofer (IWSSIP, 2021)

Gait Recognition Using 3D View-Transformation Model. - Philipp Schwarz; Philipp Hofer; Josef Scharinger (EUROCAST, 2022)

Efficient aggregation of face embeddings for decentralized face recognition deployments (extended version). - Philipp Hofer; Michael Roland 001; Philipp Schwarz; René Mayrhofer (CoRR, 2022)

Efficient Aggregation of Face Embeddings for Decentralized Face Recognition Deployments. - Philipp Hofer; Michael Roland 001; Philipp Schwarz; René Mayrhofer (ICISSP, 2023)

Causally Learning an Optimal Rework Policy. - Oliver Schacht; Sven Klaassen; Philipp Schwarz; Martin Spindler; Daniel Grünbaum; Sebastian Imhof (CDPD, 2023)

Face to Face with Efficiency: Real-Time Face Recognition Pipelines on Embedded Devices. - Philipp Hofer; Michael Roland 001; Philipp Schwarz; René Mayrhofer (MoMM, 2023)

Optimizing Distributed Face Recognition Systems through Efficient Aggregation of Facial Embeddings. - Philipp Hofer; Michael Roland 001; René Mayrhofer; Philipp Schwarz (Adv. Artif. Intell. Mach. Learn., 2023)

Management Decisions in Manufacturing using Causal Machine Learning - To Rework, or not to Rework? - Philipp Schwarz; Oliver Schacht; Sven Klaassen; Daniel Grünbaum; Sebastian Imhof; Martin Spindler (CoRR, 2024)