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Mark Campbell

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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.

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Journal Articles

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2024
[j2]
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  dblp key:
  - journals/entcom/ManciGGGCB24
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Egemen Manci, Çagdas Güdücü, Erkan Günay, Güven Güvendi, Mark Campbell, Cem S. Bediz:
The relationship between esports game genres and cognitive performance: A comparison between first-person shooter vs. multiplayer online battle arena games in younger adults. Entertain. Comput. 50: 100640 (2024)
2021
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Mark Campbell:
Protecting AI: We Built the Brains, but What About Helmets? Computer 54(12): 88-91 (2021)

Conference and Workshop Papers

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2024
[c4]
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Zhangjingyi Jiang, Mark Campbell:
Modeling and Control of an Eel-Inspired Soft Robot for Design Optimization. CASE 2024: 2471-2476
2020
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  - conf/embc/CampbellMSDA20
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Mark Campbell, Malitela Mapani, Symon Stowe, Jeffrey W. Dawson, Andy Adler:
Using Electrical Impedance Tomography in an Experimental Model of Weighted Restraint. EMBC 2020: 1461-1464
2016
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  - conf/animalci/FrenchKSWVC16
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Fiona French, Mark Kingston-Jones, David T. Schaller, Sarah Ellen Webber, Heli Väätäjä, Mark Campbell:
Don't cut to the chase: hunting experiences for zoo animals and visitors. ACI 2016: 19:1-19:6
1998
[c1]
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  - conf/hcw/FreundGACHHKKKLMMRS98
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Richard F. Freund, Michael Gherrity, Stephen L. Ambrosius, Mark Campbell, Mike Halderman, Debra A. Hensgen, Elaine G. Keith, Taylor Kidd, Matt Kussow, John D. Lima, Francesca Mirabile, Lantz Moore, Brad Rust, Howard Jay Siegel:
Scheduling Resources in Multi-User, Heterogeneous, Computing Environments with SmartNet. Heterogeneous Computing Workshop 1998: 3

Informal and Other Publications

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2023
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Rohan Banerjee, Prishita Ray, Mark Campbell:
Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum Learning. CoRR abs/2312.10557 (2023)

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