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Gregory Palmer
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2020 – today
- 2023
- [j2]Holger Eichelberger, Gregory Palmer, Claudia Niederée:
Developing an AI-enabled Industry 4.0 platform - Performance experiences on deploying AI onto an industrial edge device. Softwaretechnik-Trends 43(1): 35-37 (2023) - [c10]Peter Wißbrock, Yvonne Richter, David Pelkmann, Zhao Ren, Gregory Palmer:
Cutting Through the Noise: An Empirical Comparison of Psycho-Acoustic and Envelope-based Features for Machinery Fault Detection. ICASSP 2023: 1-5 - [c9]Amir Abolfazli
, Jakob Spiegelberg
A Deep Reinforcement Learning Approach to Configuration Sampling Problem. ICDM 2023: 1-10 - [c8]Hubert Truchan, Evgenii Naumov, Rezaul Abedin, Gregory Palmer, Zahra Ahmadi
Multimodal Isotropic Neural Architecture with Patch Embedding. ICONIP (1) 2023: 173-187 - [i12]Gregory Palmer, Chris Parry, Daniel J. B. Harrold, Chris Willis:
Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey. CoRR abs/2310.07745 (2023) - 2022
- [c7]Holger Eichelberger, Gregory Palmer, Svenja Reimer, Tat Trong Vu, Hieu Do, Sofiane Laridi, Alexander Weber, Claudia Niederée, Thomas Hildebrandt:
Developing an AI-Enabled IIoT Platform - Lessons Learned from Early Use Case Validation. ECSA (Tracks and Workshops) 2022: 265-283 - [c6]Joseph Jerome, Gregory Palmer, Rahul Savani
Market Making with Scaled Beta Policies. ICAIF 2022: 214-222 - [i11]Yi Chang, Sofiane Laridi, Zhao Ren, Gregory Palmer, Björn W. Schuller, Marco Fisichella:
Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition. CoRR abs/2203.04696 (2022) - [i10]Jeff Reimer, Yandong Wang, Sofiane Laridi, Juergen Urdich, Sören Wilmsmeier, Gregory Palmer:
Identifying Cause-and-Effect Relationships of Manufacturing Errors using Sequence-to-Sequence Learning. CoRR abs/2205.02827 (2022) - [i9]Amir Abolfazli, Gregory Palmer, Daniel Kudenko:
Data Valuation for Offline Reinforcement Learning. CoRR abs/2205.09550 (2022) - [i8]Joseph Jerome, Gregory Palmer, Rahul Savani:
Market Making with Scaled Beta Policies. CoRR abs/2207.03352 (2022) - [i7]Holger Eichelberger, Gregory Palmer, Svenja Reimer, Tat Trong Vu, Hieu Do, Sofiane Laridi, Alexander Weber, Claudia Niederée
Developing an AI-enabled IIoT platform - Lessons learned from early use case validation. CoRR abs/2207.04515 (2022) - [i6]Peter Wißbrock, Yvonne Richter, David Pelkmann, Zhao Ren, Gregory Palmer:
Cutting Through the Noise: An Empirical Comparison of Psychoacoustic and Envelope-based Features for Machinery Fault Detection. CoRR abs/2211.01704 (2022) - 2021
- [j1]Alessia Calafiore
A geographic data science framework for the functional and contextual analysis of human dynamics within global cities. Comput. Environ. Urban Syst. 85: 101539 (2021) - 2020
- [b1]Gregory Palmer:
Independent learning approaches: overcoming multi-agent learning pathologies in team-games. University of Liverpool, UK, 2020 - [c5]Gregory Palmer, Benjamin Schnieders, Rahul Savani
The Automated Inspection of Opaque Liquid Vaccines. ECAI 2020: 1898-1905 - [i5]Gregory Palmer, Benjamin Schnieders, Rahul Savani
The Automated Inspection of Opaque Liquid Vaccines. CoRR abs/2002.09406 (2020) - [i4]Gregory Palmer, Mark Green, Emma Boyland
A deep learning approach to identify unhealthy advertisements in street view images. CoRR abs/2007.04611 (2020)
2010 – 2019
- 2019
- [c4]Gregory Palmer, Rahul Savani, Karl Tuyls:
Negative Update Intervals in Deep Multi-Agent Reinforcement Learning. AAMAS 2019: 43-51 - [c3]Benjamin Schnieders, Shan Luo, Gregory Palmer, Karl Tuyls:
Fully Convolutional One-Shot Object Segmentation for Industrial Robotics. AAMAS 2019: 1161-1169 - [i3]Benjamin Schnieders, Shan Luo, Gregory Palmer, Karl Tuyls:
Fully Convolutional One-Shot Object Segmentation for Industrial Robotics. CoRR abs/1903.00683 (2019) - 2018
- [c2]Gregory Palmer, Karl Tuyls, Daan Bloembergen, Rahul Savani:
Lenient Multi-Agent Deep Reinforcement Learning. AAMAS 2018: 443-451 - [i2]Gregory Palmer, Rahul Savani
Negative Update Intervals in Deep Multi-Agent Reinforcement Learning. CoRR abs/1809.05096 (2018) - 2017
- [i1]Gregory Palmer, Karl Tuyls, Daan Bloembergen, Rahul Savani
Lenient Multi-Agent Deep Reinforcement Learning. CoRR abs/1707.04402 (2017)
1990 – 1999
- 1991
- [c1]Chriss Stephens, Bryce Cogswell, John Heinlein, Gregory Palmer, John Paul Shen:
Instruction Level Profiling and Evaluation of the IBM/6000. ISCA 1991: 180-189
Coauthor Index
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