Richard Meyes

15 papers A 1Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Faster Training, Fewer Labels: Self-Supervised Pretraining for Fine-Grained BEV Segmentation.
CoRR
Daniel Busch, Christian Bohn, Thomas Kurbiel, Klaus Friedrichs, Richard Meyes, Tobias Meisen
2024 J jnl
Guided Exploration of Industrial Sensor Data.
Comput. Graph. Forum
Tristan Langer, Richard Meyes, Tobias Meisen
2024 — conf
Improved Single Camera BEV Perception Using Multi-Camera Training.
ITSC
Daniel Busch, Ido Freeman, Richard Meyes, Tobias Meisen
2024 J jnl
Improved Single Camera BEV Perception Using Multi-Camera Training.
CoRR
Daniel Busch, Ido Freeman, Richard Meyes, Tobias Meisen
2024 J jnl
It's Not Always about Wide and Deep Models: Click-Through Rate Prediction with a Customer Behavior-Embedding Representation.
J. Theor. Appl. Electron. Commer. Res.
Miguel Alves Gomes, Richard Meyes, Philipp Meisen, Tobias Meisen
2024 — conf
Researchers' Concerns on Artificial Intelligence Ethics: Results from a Scenario-Based Survey.
IWSiB@ICSE
Marianna Jantunen, Richard Meyes, Veronika Kurchyna, Tobias Meisen, Pekka Abrahamsson, Rahul Mohanani
2022 J jnl
Gideon Replay: A library to replay interactions in web-applications.
SoftwareX
Tristan Langer, Richard Meyes, Tobias Meisen
2022 J jnl
On reliability of reinforcement learning based production scheduling systems: a comparative survey.
J. Intell. Manuf.
Constantin Waubert de Puiseau, Richard Meyes, Tobias Meisen
2022 — conf
Visual Interactive Exploration and Labeling of Large Volumes of Industrial Time Series Data.
ICEIS (Revised Selected Papers)
Tristan Langer, Viktor Welbers, Yannik Hahn, Mark Wönkhaus, Richard Meyes, Tobias Meisen
2022 A conf
Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings.
CIKM
Miguel Alves Gomes, Richard Meyes, Philipp Meisen, Tobias Meisen
2020 J jnl
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents.
CoRR
Richard Meyes, Moritz Schneider, Tobias Meisen
2020 J jnl
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations.
CoRR
Richard Meyes, Constantin Waubert de Puiseau, Andres Posada-Moreno, Tobias Meisen
2019 J jnl
Ablation Studies in Artificial Neural Networks.
CoRR
Richard Meyes, Melanie Lu, Constantin Waubert de Puiseau, Tobias Meisen
2019 — conf
Multi-Agent Reinforcement Learning for Job Shop Scheduling in Flexible Manufacturing Systems.
AI4I
Schirin Baer, Jupiter Bakakeu, Richard Meyes, Tobias Meisen
2018 J jnl
Ablation of a Robot's Brain: Neural Networks Under a Knife.
CoRR
Peter Lillian, Richard Meyes, Tobias Meisen