Early Pedestrian Movement Detection Using Smart Devices Based on Human Activity Recognition. - Diego Botache; Dandan Liu; Maarten Bieshaar; Bernhard Sick (GI-Jahrestagung (Workshops), 2019)

Towards Highly Automated Machine-Learning-Empowered Monitoring of Motor Test Stands. - Diego Botache; Florian Bethke; Martin Hardieck; Maarten Bieshaar; Ludwig Brabetz; Mohamed Ayeb; Peter Zipf; Bernhard Sick (ACSOS, 2021)

Out-of-Distribution Detection and Generation Using Soft Brownian Offset Sampling and Autoencoders. - Felix Möller; Diego Botache; Denis Huseljic; Florian Heidecker; Maarten Bieshaar; Bernhard Sick (CVPR Workshops, 2021)

NDNET: A Unified Framework for Anomaly and Novelty Detection. - Jens Decke; Jörn Schmeißing; Diego Botache; Maarten Bieshaar; Bernhard Sick; Christian Gruhl (ARCS, 2022)

Generating Synthetic Time Series for Machine-Learning-Empowered Monitoring of Electric Motor Test Benches. - Tobias Westmeier; Diego Botache; Maarten Bieshaar; Bernhard Sick (DSAA, 2022)

Unraveling the Complexity of Splitting Sequential Data: Tackling Challenges in Video and Time Series Analysis. - Diego Botache; Kristina Dingel; Rico Huhnstock; Arno Ehresmann; Bernhard Sick (CoRR, 2023)

Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation. - Diego Botache; Jens Decke; Winfried Ripken; Abhinay Dornipati; Franz Götz-Hahn; Mohamed Ayeb; Bernhard Sick (CoRR, 2023)

Enhancing Multi-objective Optimisation Through Machine Learning-Supported Multiphysics Simulation. - Diego Botache; Jens Decke; Winfried Ripken; Abhinay Dornipati; Franz Götz-Hahn; Mohamed Ayeb; Bernhard Sick (ECML/PKDD (10), 2024)