Ablation of a Robot's Brain: Neural Networks Under a Knife. - Peter Lillian; Richard Meyes; Tobias Meisen (CoRR, 2018)

Multi-Agent Reinforcement Learning for Job Shop Scheduling in Flexible Manufacturing Systems. - Schirin Baer; Jupiter Bakakeu; Richard Meyes; Tobias Meisen (AI4I, 2019)

Ablation Studies in Artificial Neural Networks. - Richard Meyes; Melanie Lu; Constantin Waubert de Puiseau; Tobias Meisen (CoRR, 2019)

Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations. - Richard Meyes; Constantin Waubert de Puiseau; Andres Posada-Moreno; Tobias Meisen (CoRR, 2020)

How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents. - Richard Meyes; Moritz Schneider; Tobias Meisen (CoRR, 2020)

Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings. - Miguel Alves Gomes; Richard Meyes; Philipp Meisen; Tobias Meisen (CIKM, 2022)

Visual Interactive Exploration and Labeling of Large Volumes of Industrial Time Series Data. - Tristan Langer; Viktor Welbers; Yannik Hahn; Mark Wönkhaus; Richard Meyes; Tobias Meisen (ICEIS (Revised Selected Papers), 2022)

On reliability of reinforcement learning based production scheduling systems: a comparative survey. - Constantin Waubert de Puiseau; Richard Meyes; Tobias Meisen (J. Intell. Manuf., 2022)

Gideon Replay: A library to replay interactions in web-applications. - Tristan Langer; Richard Meyes; Tobias Meisen (SoftwareX, 2022)

Improved Single Camera BEV Perception Using Multi-Camera Training. - Daniel Busch; Ido Freeman; Richard Meyes; Tobias Meisen (ITSC, 2024)

Researchers' Concerns on Artificial Intelligence Ethics: Results from a Scenario-Based Survey. - Marianna Jantunen; Richard Meyes; Veronika Kurchyna; Tobias Meisen; Pekka Abrahamsson; Rahul Mohanani (IWSiB@ICSE, 2024)

Guided Exploration of Industrial Sensor Data. - Tristan Langer; Richard Meyes; Tobias Meisen (Comput. Graph. Forum, 2024)

It's Not Always about Wide and Deep Models: Click-Through Rate Prediction with a Customer Behavior-Embedding Representation. - Miguel Alves Gomes; Richard Meyes; Philipp Meisen; Tobias Meisen (J. Theor. Appl. Electron. Commer. Res., 2024)